The Relationship Between S&P 500 P/E Ratios and US Interest Rates

Download the white paper here.

As a follow up to our more comprehensive 2017 paper and 2018 paper, this paper will strictly focus on the historical and current relationship between the S&P 500 P/E Ratio and US Interest Rates, updated to November 2022.

The P/E ratio can be described as the ratio between current share price and per-share earnings.  Earnings in the S&P 500 are calculated using the 12-month earnings per share of “current” earnings.  A higher P/E ratio suggests that investors expect higher earnings growth in the future.

During the period January 1971 to November 2022, the S&P 500 P/E ratio averaged 19.9x, while the median S&P 500 P/E ratio was 18.3x.[1]  The S&P 500 P/E ratio as of November 16, 2022 was 20.6x, which is slightly higher than the historical average of 19.9x.[2]  This ratio is currently in the 62nd percentile of the historical distribution.

The Relationship Between S&Amp;P 500 P/E Ratios And Us Interest Rates

The Relationship Between S&Amp;P 500 P/E Ratios And Us Interest Rates

It is important to understand that returns can be estimated as changes in the P/E ratio and changes in earnings; therefore, factors that drive changes in the P/E ratio will also drive stock returns.

P/E ratios have demonstrated an inverse relationship to interest rates.  Given recent interest rate hikes and expectations for the Federal Reserve to continue to increase rates, at least in the short-term, P/E ratios are likely to decline.

However, only 22.4% of the variability in P/E ratios can be explained by the regression with interest rates, where interest rates (i) are the independent variable and P/E ratios are the dependent variable.

When we test the current federal funds rate of 3.83%, our equation predicts an S&P 500 P/E ratio of 21.5x – very close to the current P/E ratio.

The Relationship Between S&Amp;P 500 P/E Ratios And Us Interest Rates

The Relationship Between S&Amp;P 500 P/E Ratios And Us Interest Rates

[1]      Based on monthly data from multpl.com.

[2]      July 2022 through November 2022 P/E ratios are estimates.

For more information, contact:

Marty Hanan is the founder and President of ValueScope, Inc., a valuation and financial advisory firm that specializes in valuing assets and businesses and in helping business owners in business transactions and estate planning.  Mr. Hanan is a Chartered Financial Analyst and has a B.S. Electrical Engineering from the University of Illinois and an MBA from Loyola University of Chicago.

If you liked this blog you may enjoy reading some of our other blogs here.

ESG A Valuation Framework

Click to Download:  ESG A Valuation Framework

Overview

It started sometime last year, during the fourth quarter.  The morning business show Squawk Box began to mention “ESG” on a daily basis.  Sometimes it was one of the hosts, sometimes it was a guest. Then. there were two inflection points that marked a higher level of discourse.  First, on December 17, 2019, SEC Commissioner Hester Peirce went on live television to call for greater oversight of how ESG is used by companies and the investment community. 

The notion that we can come together and we can get our regulator to focus on an amorphous set of qualities other than the long-term financial value of a corporation, I think we’re fooling ourselves,” said Commissioner Peirce on CNBC’s Squawk on the Street

At the time, more than $17 billion had been invested into sustainable-focused exchange-traded funds (ETFs) and open-end funds during 2019.  In 2018, the number was about $5 billion.  “The first issue is that we don’t even know what ESG means,” Peirce continued.  As more and more ESG investing happens, there will be more and more scrutiny as to how a fund defines its ESG qualifications.  Pierce added “Not only is it difficult to define what should be included in ESG, but, once you do, it is difficult to figure out how to measure success or failure.”  

The second inflection point was triggered by the “Fundamental Reshaping of Finance” open letter to CEOs on January 14, 2020, by BlackRock Chairman and Chief Executive Officer Larry Fink.  “In a letter to our clients today, BlackRock announced a number of initiatives to place sustainability at the center of our investment approach, including: making sustainability integral to portfolio construction and risk management; exiting investments that present a high sustainability-related risk, such as thermal coal producers; launching new investment products that screen fossil fuels; and strengthening our commitment to sustainability and transparency in our investment stewardship activities.”1

What does this really mean?  Environmental, Social, Governance or “ESG,” is a term very few had heard of even two years ago. Today, ESG is not only a dominant topic of discussion across the American business and investment community, it is driving business decisions, impacting corporate structures and organizational charts and it is having a profound impact on investment decisions. Further, the recent global pandemic and economic crisis has accelerated the drive by companies to establish ESG programs, and report ESG metrics as they seek ways to attract investment capital and demonstrate rigorous ESG risk management in their organizations.

What has remained elusive for businesses and investors is a way to quantify the actual and potential risks, losses, benefits, and rewards associated with ESG decisions. Corporate leaders and boards have been missing a way to tie ESG to valuation. How do you justify making substantial investments and fundamental changes to corporate structures and culture without empirical evidence that it will make a direct impact on shareholder value, total shareholder return, net present value, and individual rates of return? 

These are fair questions.  Do ESG programs impact firm value?  If they do, how exactly can the valuation impact be measured?  What will need to be addressed by regulators that could allow this valuation impact to be reported?  Will ESG assets be recorded on balance sheets one day soon, just as intangible assets such as goodwill and intellectual property are recorded today?

Generally speaking, pre-COVID, the goal of ESG risk management was to minimize negative events that might impact value. That said, this lens of due diligence has changed how the market invests.

As it pertains to the energy sector, the weight energy carries in various indices has gone down significantly in the last few years. Clients are asking investors to keep their money invested in ESG compliant portfolios and think that fossil fuel-based companies contradict this investment thesis.  A factor of investment in the market is based on sentiment and belief in performance. If investors are more comfortable in ESG funds, then more people will keep their money invested in them.

That leads to another interesting aspect:  the psychological factor.  Given the benefits of ESG, investors are geared behaviorally to allocate their investments towards these funds. As companies continue to legitimately integrate ESG into business strategy, the ability to achieve “alpha,” which is an excess return or performance above a codified index or peer group, might become more difficult to do.

While we might not have an answer right now about the regulatory aspects of ESG reporting, this paper will introduce analytical methods for providing valuations of ESG performance.  Our framework is objective and designed to serve all constituents.  But even before we get to that, there are two essential steps that must be completed first.  Before you can value something, especially something that is intangible, you must define it.  After it is defined, it must be measured in a way that is transparent, auditable, and objective. Finally, the valuation should utilize vetted, established, and customary valuation techniques and metrics that have been used for years to value businesses and assets for decades.  There is no need to “reinvent the wheel.” We can value ESG assets and their impact on a business today.

Define

It is difficult to measure and value things that are not well defined.  While many might know that ESG stands for Environmental, Social, and Governance, that is often where the knowledge ends. Fixed definitions are hard to come by, and the scattering of websites, scorecards, speeches, podcasts, and white papers that mention ESG in many different ways do not help.  There are, however, certain established and respected frameworks that can and should be used now.  The most well-developed thus far is the one published by the Sustainability Accounting Standards Board (“SASB”).

SASB is a nonprofit organization founded in 2011 by Dr. Jean Rogers,2  SASB’s first Chief Executive Officer.  The roots of the SASB framework are based on a 2010 academic white paper written by Dr. Rogers, along with Steve Lydenberg, who was then the Chief Investment Officer of Domini Social Investments, and Dr. David Wood, who was then Director of the Initiative for Responsible Investment at Harvard University.  The paper, entitled “From Transparency to Performance: Industry-Based Sustainability Reporting on Key Issues,” was drafted to establish standards to be used in Securities and Exchange Commission (“SEC”) filings, such as 10Q or 10K reports.  The authors wanted to propose a methodology that would help investors, regulators, and analysts to understand specifically how individual companies and companies in funds compared in terms of social and environmental goals and issues.

The name SASB is no coincidence.  It was devised to sound like “FASB,” the Financial Accounting Standards Board.  The FASB originated in the summer of 1973 to organize and codify the US Generally Accepted Accounting Principles, (“GAAP”), are used by American companies, in conjunction with the American Institute of Certified Public Accountants, the “AICPA.” The SEC provided its imprimatur later that year, which gave the FASB and its research, pronouncements, and guidelines substantial weight and credibility.  In other words, in the US, the FASB makes the accounting rules that public and private companies use so that their financial statements are rules-based and consistent.

SASB3 seeks to replicate what FASB does by creating a set of clear disclosure standards broken out by environmental, social, and governance topics, and by industry.  At the heart of the SASB framework is its “Materiality Map®” or “Map.” Eleven industry groups are shown across the top, from Consumer Goods to Transportation.  Along the left-hand side of the Map are the 26 sustainability issues that the SASB has identified and selected which can be expected to impact financial statements and the operating performance of a company. They are summarized here, as referenced directly from the SASB website:4

Environment

  • Greenhouse Gas “GHG” Emissions
  • Air Quality
  • Energy Management
  • Water & Wastewater Management
  • Waste & Hazardous Materials Management
  • Ecological Impacts

Social Capital

  • Human Rights & Community Relations
  • Customer Privacy
  • Data Security
  • Access & Affordability
  • Product Quality & Safety
  • Customer Welfare
  • Selling Practices & Product Labeling
  • Human Capital
  • Labor Practices
  • Employee Health & Safety
  • Employee Engagement, Diversity & Inclusion

Business Model & Innovation

  • Product Design & Lifecycle Management
  • Business Model Resilience
  • Supply Chain Management
  • Materials Sourcing & Efficiency
  • Physical Impacts of Climate Change

Leadership & Governance

  • Business Ethics
  • Competitive Behavior
  • Management of the Legal & Regulatory Environment
  • Critical Incident Risk Management

By creating this framework, SASB seeks to “help businesses around the world identify, manage and report on the sustainability topics that matter most to their investors.”5  It is a smart strategy, because this work is happening in parallel to regulatory work that might evolve out from the Congress and the SEC.  SASB has developed a first mover advantage, and many companies and investor funds are already using the framework today.  BlackRock, mentioned above, publishes a SASB disclosure document, easily downloaded from its website.6  This very disclosure document highlights the fact that a company’s bottom line and its brand can be impacted measurably by environmental and social indicators. There is growing empirical evidence provided by academics, institutional investors, and consulting firms that has confirmed this.  Most recently, $1 of every $4 dollars is invested in the US today under an ESG/ SRI label.  In our view, it will be SASB and its framework that will drive this narrative.

In addition to SASB, there are two other organizations that should be noted in this context.  One of them is the Financial Stability Board (“FSB”) Task Force on Climate-related Financial Disclosures (“TCFD”), created in 2015.   TCFD’s stated mission is to “develop voluntary, consistent climate-related financial risk disclosures for use by companies in providing information to investors, lenders, insurers, and other stakeholders.  The Task Force will consider the physical, liability and transition risks associated with climate change and what constitutes effective financial disclosures across industries.  The work and recommendations of the Task Force will help companies understand what financial markets want from disclosure in order to measure and respond to climate change risks, and encourage firms to align their disclosures with investors’ needs.”7

According to the TCFD, climate risk is financial risk that is non-diversifiable and can impact corporations through revenues, expenditures, assets and liabilities, and capital and financing. In 2017, TCFD released its report outlining recommendations for reporting climate-related risks. It organized those risks into the following categories:

Transitional Risks

  • Policy and Legal
    • Carbon pricing and reporting obligations
    • Mandates on and regulation of existing products and services
    • Exposure to litigation
  • Technology
    • Substitution of existing products and services with lower emissions options
    • Unsuccessful investment in new technologies
  • Market
    • Changing customer behavior
    • Uncertainty in market signals
    • Increase cost of raw materials
  • Reputation
    • Shift in consumer preferences
    • Increased stakeholder concern/negative feedback
    • Stigmatization of sector

Physical Risks

  • Acute: Extreme weather events
  • Chronic: Changing weather patterns and rising mean temperature and sea levels

TCFD’s recommendations are organized around four areas that represent how organizations operate: governance, strategy, risk management, and metrics and targets. TCFD provides recommended disclosures for these four areas and guidance on how to implement the recommendations for the financial sector ( banks, insurance companies, asset managers, asset owners) and the non-financial sector (energy, transportation, materials and buildings, and agriculture, food and forest products). It also provided a list of principals for effective disclosure.

Esg A Valuation Framework

TCFD disclosures provide transparency to the financial community on the climate-related risks a company faces. This is important because it gives the markets a realistic assessment of those risks. A key component of disclosure is demonstrating mitigation measures and efforts. When the financial community understands those risks in terms of impacts and ability and willingness to mitigate, it rewards those companies most organized and committed to mitigating those risks. By providing rigorous assessment of risks, including scenario planning, and by demonstrating forward thinking, actionable risk mitigation plans, companies can ease the concern financial institutions and the public sector may have for their climate-related risks.

The TCFD is critical because it is a global institution that has input from global institutions, financial and non-financial. SASB standards and TCFD recommendations are complementary. TCFD’s Implementation Annex extensively references SASB standards as an effective tool for implementing TCFD recommendations.

The United Nations’ Sustainable Development Goals (SDGs) were adopted by UN member states in 2015 as a universal call to action to end poverty, protect the planet and ensure that all people enjoy peace and prosperity by 2030. According to the UN, they are “the blueprint to achieve a better and more sustainable future for all. They address the global challenges we face, including those related to poverty, inequality, climate change, environmental degradation, peace, and justice. The 17 Goals are all interconnected, and in order to leave no one behind, it is important that we achieve them all by 2030.”8

The UN SDGs are becomingly increasingly import. Companies, especially those operating internationally, are encouraged to map their operations and performance to the SDGs and to disclose this mapping, along with SASB and TCFD mapping and disclosure.

Esg A Valuation FrameworkMeasure

What good is any of this if it cannot be quantified?  Eight years ago, an article in the Financial Times quoted the infamous management consultant Peter Drucker in the context of corporate reporting of ESG related topics: “What gets measured gets managed.”9  That was eight years ago!  If we posit that ESG can be defined, and has been defined, and that the SASB framework will either be that which is chosen by regulators, or at the very least, play a substantial role in its definitions, then we can move on to measurement.  We know what ESG is when we see it.

How do we measure it?  Most observers contend that this is hard to do, even impossible.  Perhaps the environmental category or “E” of ESG, can be quantified because methane and CO2 emissions, waste, water pollution, etc. can be measured volumetrically.  Companies are already reporting how much they have measurably cut their GHG emissions, add it is becoming more common.10 But how do you measure the “S” and “G” components of ESG? Why is this hard to do? We have some good news.  These things are not hard to measure.  And we owe the solution to the “Big Data” revolution that has that has occurred, sometimes quietly, over the past several years.

What is Big Data?  It’s about counting using more comprehensive and sophisticated techniques through advances in information systems.  Digitization plays a key role.  We live in an age where vast swaths of information have been digitized, rather than stored as paper.  Digitization means that counting can be done more quickly, efficiently, and accurately.  As long as the critical data needed to evaluate not just environmental categories, but the social and governance categories as well is accessible, then it can be processed and analyzed.  We contend that much of this information already exists inside of companies today, but has not been organized from an ESG perspective as yet.

A comprehensive process map for this kind of work is outside the scope of this paper, but we can provide an overview of the most standard tasker flow.

  1. Identification – The data pertaining to a specific ESG factor needs to be located, identified, and described.
  2. Harvesting – The data needs to be harvested or collected.
  3. Complexity – The complexity of the data needs to be evaluated. This includes an assessment of its size, how it is stored, if a particular language is used, and how the data is interrelated.
  4. Structure – How is the data structured? Is it numerical or verbal, or both?  Is it continuous or discrete?  These are important things to consider when using specific tools to sort and analyze the data.

The growth of different types of tools that are used today to manage and assess data are plentiful, and include such well-established ones like R, Python, MATLAB, SQL, MongoDB, and Tableau.

Referring to a project and study one of us was involved in with a different firm, several years ago, the data was harvested from the Client’s ERP system, and R was used to organize, clean, and study the data.  Sam Gafford and Derya Eryilmaz published the results of this project and study, and their outstanding work, in The Electricity Journal, back in in 2018.11

In this case, the task was to study the energy efficiency benefit for a specific product (the “Product”).  We used the client’s residential customer database with 15-minute interval data for the years 2014, 2015, and 2016.  These customers were spread across the Electric Reliability Council of Texas’ (ERCOT) competitive market territory. ERCOT is the entity that manages the electrical grid for about 85% of Texas customers. Depending on the product chosen and whether or not the customer received subsidies, customers were assigned to four categories.  “Conventional” customers were the most common type of customer.  “Budget” customers also used the product, but they received subsidies from the state.  “Cash Managers” were also product users with subsidies who chose to manage their spending more actively on electricity on a daily basis.  “Energy Managers” actively managed their spending on electricity like Cash Managers but were not subsidized. Once the populations were determined, two key problems were addressed.  The first was the potential for a small subset of super-users to skew the averages because of the asymmetrical nature of the distributions of consumption.  The second was the potential for a higher incidence of disconnections in one population group to cause us to mistake forced savings for behavioral changes.

To address the first issue, we identified several extreme energy users and excluded these outlier customers from the data, in addition to the customers who dropped the product in each year. An outlier customer was defined as a residential customer whose daily energy consumption was an order of magnitude greater than the median of the energy usage of the sample.

To address the second issue, we eliminated all zero-usage intervals when measuring the average usage for that interval by each population.  However, by eliminating zero-usage intervals from the averages, we could count only the customers who were on-flow and be assured that any energy efficiency found would be independent of disconnections.

Self-selection happens when customer choice for a given product is not truly random.  Because the client operated in a competitive marketplace, the product choice was not random and was not controlled.  Because of the features of the product, we expected it to appeal particularly to consumers who were credit-challenged.  We selected a random sample of the conventional customers, who were the most numerous.  We employed power analysis in R to determine the appropriate sample size for the conventional customer dataset to yield statistically meaningful results.

There are established methods to address self-selection bias in empirical analysis.  Two commonly used methods are the “matching method” and the “instrumental variable” approach.  We chose the instrumental variable approach, which assumes a strong correlation between an intermediate variable and the variable of interest, the decision to use the Product.

The instrumental variable approach is preferred mainly because, unlike the matching method which would have required us to impossibly justify and measure all determinative household characteristics, we were able to validate the instrumental variable with statistical methods.  An acceptable instrumental variable was highly correlated with the Product and not correlated with the customer’s energy consumption.

For the study, we assumed the product adoption rate was highly determinative of the decision to become a product customer.  Specifically, we defined customer adoption rate Adoptioni as the percentage of a given zip code’s client customers that selected the product. The adoption rate was highly correlated with the customer product preference and not directly related to customers’ energy consumption.  We employed a two-stage least squares (2SLS) estimation methodology.

In the first stage of the two-stage least squares estimation, we used the Adoptioni rate to predict a customer’s product choice, which is the variable called Treatmenti,t . This variable took the value 1 for the product customers and 0 otherwise.  Using the predicted Treatmenti,t from the first stage, we estimated average energy savings for Energy Managers and Cash Managers separately in the second stage of Regression Equation 1.  The estimated coefficient b1 on the Treatmenti,t variable represented the average daily energy savings per customer.

We also controlled for humidity and time fixed effects in the second stage of Regression Equation 1.

First Stage:

Treatmenti,t = ao + a1 Adoptioni + a2 Humidt + φt + τi,t

Second Stage:

kWhi,t = bo + b1 Treatmenti,t + b2 Humidi,t + φt + εi,t

Where i = customer;  t = day;

kWhi,t = Average daily usage of customer i on day d;

bo = Customer specific fixed effect (i.e., controlling for the customer characteristics that did not change over time such as house size);

b1 = Average daily energy savings for customers (i.e., Energy Manager or Cash Manager);

b2 = The coefficient that captures the impact of average daily dewpoint by customer zip code on average daily energy consumption;

Adoptioni = Product adoption rate by zip code (i.e., percentage). This variable was used as the instrumental variable to correct for self-selection bias;

Treatmenti,t =An indicator variable taking the value 1 if the customer was a Product customer or 0 otherwise;

Humidi,t = Average daily dew point by customer zip code that captures the humidity;

φt = Time fixed effects. This is a set of indicator variables that controlled unobserved factors that changed over time such as daily, monthly, and seasonal impacts on average daily energy consumption; and

εi,t = Identically and dependently distributed error term of the regression model.

It is important to note one limitation of this study is that we were not able include energy usage data for customers prior to becoming a product customer due to data limitations.

What happened with this fancy way of counting? The energy efficiency benefit of the product was confirmed. The most essential finding of this study is that the Product did have an energy efficiency benefit of approximately 9.6%, with an average 10.7% for conventional households, which constituted the great majority of households. This benefit was net of any reduction in consumption from disconnections. Energy efficiency stemmed from more engagement by the customer with his/her energy service. The product customer had more frequent communications about his/her usage and the associated cost, more granular information, and more real-time information. Beyond that, the product not only provided deeper information; it enabled a customer to relate his costs to his benefits in a timely and concrete financial transaction that made the communication “more real.”

The financial impact of this efficiency can be quite significant. An Energy Manager using approximately 14 MWh per year and paying 12 cents per kWh would save $183 per year from this efficiency. By way of example, if all residential customers in Texas switched to the Product, the savings would top $800 million per year if all residential customers realized a 9.6% efficiency benefit. Besides the energy savings, the efficiency could lower peak capacity requirements, meaning fewer expensive peaker plant generators would need to be maintained in the generation stack, which is also an area of future research. What if the 9.6% efficiency benefit comes out of coal? What is the emissions impact of this one simple product? How does this look from an ESG perspective?

Value

As ESG issues increasingly impact the financial performance of companies, there has been little agreement on how they impact valuation. Moreover, financial data, such as accounting statements, often do not provide the level or type of information needed to make sure that defined and measured objectives are appropriately considered. Such considerations inevitably lead to one central question: how do analysts or objective observers assign a proper valuation to a specific company, adjusted for ESG metrics? The good news is that now that ESG has become more mainstream, ESG metrics used in conjunction with more traditional financial metrics is making it easier to assess the ESG profile of a company, including its overall impact on valuation. For some C-Suite management teams and Board room executives, having the ability to assess valuation enhancements through specific ESG criterial becomes the most critical factor in deciding whether that company decides to implement an ESG program at all.

The first iterations of ESG metrics and investment criteria took a blunt and mundane approach to sustainable investing, by excluding controversial factors and issues or by aiming to deliver a particular benefit or impact. That is not necessarily the case anymore. Now that ESG has become more mainstream, just over the last 18 months, metrics have become more sophisticated and often make quantitative assessments in understanding what those metrics means. It is now possible to apply ESG considerations across a company’s activities and to quantify a defendable valuation of the ESG impact.

For example, in looking to the midstream industry, there are a set of metrics that can be used now to quantify ESG aspects of firm value. This industry generates significant quantities of greenhouse gases and other air emissions from compressor engine exhausts, oil and condensate tank vents, natural gas processing, and fugitive emissions, in addition to emissions from mobile sources. Air pollutants can have significant, localized human health and environmental impacts. At the same time, the management of fugitive emissions of methane (CH4), a potent greenhouse gas, has emerged as a major operational, reputational, and regulatory risk. Financial impacts on midstream companies will vary depending on the specific location of operations and the prevailing emissions regulations, and will likely include higher operating or capital expenditures and regulatory or legal penalties. Companies that capture and monetize, or cost-effectively reduce emissions by implementing innovative monitoring and mitigation efforts and fuel efficiency measures, could enjoy several benefits. These companies can reduce regulatory risks and realize operational efficiencies in an environment of increasing regulatory and public concerns about air quality and climate change, both in the U.S. and globally.

Specific financial impacts on midstream companies from their GHG and other air emissions could be of three types: 1) additional costs from regulations of GHGs or air emissions that aim to internalize the societal costs of emissions, 2) potential for generating additional revenues from capturing and selling GHGs like carbon dioxide and methane or generating electricity from methane, and 3) cost savings from enhanced fuel efficiency.  All of these elements impact cash flow, which is the core driver of the Income Method of valuation.

Facilities in petroleum and natural gas systems are required to report emissions from combustion, venting, equipment leaks, and flaring.  Given the significant contribution of petroleum and natural gas systems to global GHGs and other harmful air pollutants, the EPA introduced rules in 2012 for oil and gas companies to reduce emissions. These include, for example, requirements for new storage tanks at compressor stations to reduce volatile organic compound emissions by at least 95%.  Similarly, state-level legislation and regulations can also affect operations of midstream companies with significant GHG and other air emissions. As a result of California’s AB32 cap-and-trade system, several midstream facilities, including compressor and storage stations, are required to reduce emissions or buy carbon credits (or permissions to emit) from the market. Both reduction of emissions and purchase of credits pose additional costs to the industry. Regulations in this area are also constantly evolving, creating operational risks for the industry. For example, California is also conducting field measurements of fugitive methane emissions from natural gas distribution pipelines. The results of the study are expected to inform the cost-effectiveness of developing regulations specific to fugitive GHG emissions from these operations.  Violations of air emissions rules can lead to regulatory fines and penalties, including additional measures to control emissions that may entail increased operating costs or capital expenditures.

What is most salient in the context of valuation is that companies with significant GHG emissions could also face a higher risk profile, and therefore cost of capital, due to the uncertain nature of future (likely more stringent) GHG regulations.  In particular, growing concern over methane leakage are likely to increase future regulatory risks. The probability and magnitude of the impact of GHG emissions and other air emissions on financial results in this industry are likely to increase in the medium term.

More and more work is being done on the valuation aspect of ESG.  Two important papers use a top-down approach.  “ESG in Equity Analysis and Credit” analysis was published in 2018 by the PRI, the Principles of Responsible Investment arm of the UN, and the CFA Institute.13  Less than a year ago “Foundations of ESG Investing: How ESG Affect Equity Valuation, Risk, and Performance” was published in the Journal of Portfolio Management.14 Both papers, and there are others, proceed down a path that identifies quantified value enhancements at the company level from ESG programs.  They are top-down and address this issue from the perspective of risk.  They combine elements of the Income Method, which is cash flow based, and the Market Method, which is based on comparative analysis.  These approaches can be distilled into one central concept: adjusting the discount rate.

Obviously the lower the discount rate, the higher the valuation, all other items held constant.  Adjustments to Beta can accomplish this.  Beta measures systemic risk, and the performance of a company as compared with a broad index like the S&P 500 or the Russell 2000.  There are also methods to use Beta to assess a private company, if the Guideline Public Companies selected for the analysis, the “comps,” are chose properly.  For example, in a recent valuation we completed, the mean unlevered Beta of a group of 10 comps was 0.58.  The re-levered Beta for the private company we were valuing was 0.56.  But absent an assessment of the ESG components and metrics of the 10 comps, one by one then taken as a whole against the S&P 500, there was no way to adjust the Beta with adequate support.

Using Alpha, however, it could be done.  Alpha is an adjustment made to the Capital Asset Pricing Model (“CAPM”) as part of the calculation of the Weighted Average Cost of Capital, or “WACC.”  Alpha is unsystematic risk, unique to the firm undergoing valuation.  It is here that a specific adjustment can be made for ESG value.  As shown below, if the aggregate fair value of the company’s ESG program is 150 basis points, then the Alpha is reduced from 5% to 3.5%.  The valuation increases from $263.9 million to $271.5 million, implying that the hypothetical ESG program is worth almost $8 million.

Esg A Valuation Framework

But how do we support the adjustment to Alpha?  The time has come for ESG to be seen as an asset that can be defined, measured, and valued.

According to the CFA Institute, “Intangible assets are increasingly critical to corporate value, yet current accounting standards make it difficult to capture them in financial statements. This information gap can affect valuations for the worse.”15 The authors were not even talking about ESG Intangible Assets, or the potential for the identification and separation of ESG intangibles in the near term.  Their article provides and overview of intangible asset valuation and its challenges.

Intangible Assets lack physical substance but are not financial assets.  According to the International Glossary of Business Terms,16 Intangible Assets are, “non-physical assets such as franchises, trademarks, patents, copyrights, goodwill, equities, mineral rights, securities and contracts (as distinguished from physical assets) that grant rights and privileges, and have value for the owner.”  Brand can be an Intangible Asset as well, and the value of a brand can be enhanced if the brand is associated with ESG programs.  The problem is that U.S. GAAP only allows Intangible Assets to be recorded in a balance sheet if they have been acquired.  But regardless of when or if this might change one day, the valuation techniques that are used to value intangible assets can be used to value the impact of ESG on a company’s total value.

There are several methods that can be used to fairly value intangible assets, and we will look at five.  The first is the Relief from Royalty Method, or RRM.  With this technique value is calculated by using hypothetical royalty payments that would be avoided by owning an asset rather than have to pay for it via a license.  We use the RRM most of the time to perform valuations of trade and domain names, trademarks, software, and certain types of R&D.   It is unlikely that RRM can be used to value ESG at this time, there is not enough data available yet to isolate what a real royalty rate might be for that can be tied to a specific revenue stream and where data on royalty and license fees from other market transactions are available.

The Multiperiod Excess Earnings Method, (“MPEEM”), has more promise.  It is an income approach, using discounted cash-flow analysis. But instead of using the whole entity’s cash flow, with the MPEEM we will isolate the cash flows that we can prove are driven by specific ESG factors.  Usually the MPEEM is used for an intangible asset that is the main driver of a company’s valuation, but that does not have to be the case.  We often use it for customer and client related assets, but again, ESG is a new area of study and the MPEEM should not be ruled out.

A third approach is called “with and without,” or the Differential Income Model (“DIM”).  With this technique we value the company, and then revalue it with any and all ESG related factors removed.  The difference in fair value equates to the fair value of the ESG program.

Real Options modeling can also be used to value intangible assets and is most often a technique that lends itself to value that will accrue in the future, with some uncertainty.  For example, patents might have no value today, but could be very valuable in the future if developed.  Pharmaceutical intangibles are often analyzed this way.

Lastly, “Replacement Cost Method Less Obsolescence” can be used for intangible asset valuation, by calculating the replacement cost for the intangible asset if it were brand new, and then applying an obsolescence factor unique to the intangible asset.

Need for Valuation Under Mandated Disclosure

ESG disclosure is, of course, currently voluntary in the U.S., though pressure is increasingly mounting for larger, publicly traded companies to disclose. The lack of uniformity in ESG disclosures is a criticism that is being voiced by the financial community, by regulatory bodies, activist groups, politicians and even by companies that are expected to disclose. That lack of uniformity and a general belief by certain constituents and policymakers that great disclosure transparency is needed generally, is creating momentum for mandated ESG reporting.

In 2019, the House Subcommittee on Investor Protection, Entrepreneurship and Capital Markets held a hearing on ESG. Subcommittee Chair Carolyn Maloney stated during the hearing that “ESG disclosures often aren’t as detailed as they should be” and that they “lack a legalized framework.” For that reason, she noted that they are “difficult to compare across companies.”17

More recently, ESG language has appeared twice in stand-alone legislation. It even appeared in a version of The Emergency Supplemental Appropriations Bill that would provide another round of relief for the COVID-19 pandemic. In both cases, the language would require companies receiving federal aid for COVID-19 to provide disclosures that satisfy the recommendations of the TCFD. It is unlikely that this language will be enacted into law through these bills. However, once legislative language is introduced in a comprehensive bill that is supported by a party’s leadership, like the Emergency Supplemental, it is likely to appear again in different legislative vehicles. We should expect versions of this language to appear in future legislation crafted by House Democrats.

It is important to note that in recent history there are precedents for Congress enacting legislation to strengthen financial reporting requirements when perceived weaknesses are noted by Congress and the public. In 2002, the Sarbanes-Oxley Act (SOX) was signed into law to improve the reliability of financial reporting for public companies and restore investor confidence in the wake of the Enron, Tyco International and WorldCom scandals. SOX imposed strict new requirements on accountants, auditors and corporate officers, mandating senior corporate officers personally certify that corporate financial statements “comply with SEC requirements and fairly present in all material aspects the operations and financial condition of the issuer. By knowingly signing off on inaccurate financial statements, corporate officers are now subject to criminal penalties, including prison time. Similarly, the Dodd Frank Wall Street Reform and Consumer Protection Act was enacted to further regulate the financial services community following the financial crisis of 2008. It established several new government agencies assigned to oversee provision of the Act that further regulate and restrict banking practices, lending, speculative trading, and credit ratings.

Future scandals, financial crises, and events that erode public confidence and markets could also easily result in some kind of legislatively-mandated ESG requirement. A change in the control of Congress and the White House to the Democrats could also result in such a statutory mandate. The Joe Biden Presidential Campaign endorses “Requiring public companies to disclose climate risks and the greenhouse gas emissions in their operations and supply chains” is an important tenet in the Biden Plan for a Clean Energy Revolution and Environmental Justice.18

There are numerous, recent regulatory developments impacting ESG. In December 2019, an SEC Commissioner called for greater oversight of ESG. Earlier this year, the SEC’s Investors Advisory Committee issued a recommendation to create a disclosure framework for ESG investments—specifically citing the current lack of consistent comparable data in the marketplace. That report sets the stage for the SEC to issue more consistent reporting guidelines or perhaps requirements for reporting ESG.

In July 2020, the U.S. Government Accountability Office released a report that contains an overview of issues related to public companies’ disclosures of ESG information. This report examines, among other things, (1) why investors seek ESG disclosures, (2) public companies’ disclosures of ESG factors, and (3) the advantages and disadvantages of ESG disclosure policy options. The GAO analyzed 32 large and mid-sized public companies across industries to best reflect a broad market assessment.

In June 2020, the U.S. Department of Labor (“DOL”) proposed an investment rule that that would govern how private retirement plans — particularly those under the Employee Retirement Income Security Act (“ERISA”) — should be managed with respect to ESG criteria. Recognizing the proliferation of ESG-related funds and that lack of standards for what qualifies an ESG investment, the rule proposes a requirement that priority will be given to investments that maximize financial returns, as opposed to automatically incorporating ESG ‘socially-orientated’ goals. The proposed rule states what should be obvious, that the goal and benefit of an ESG investment should be to maximize returns to the investor. It also helps mat the case for further standardization of what qualifies as ESG investment.

The notion of mandated ESG reporting requirements would have seemed a big stretch two years ago, but today they appear quite possible if not likely. Legislative and regulatory forces, a growing need for standardized practices in what constitutes ESG investments, a need for standardized ESG reporting, and a growing need by investors to understanding climate-related risks and mitigation plans are all drivers for some sort of ESG mandated ESG reporting and regulation.

The emergence of such mandated reporting and standardization further necessitates the need for ESG valuation. If such reporting is required, regulators will need to understand the market and financial impacts of such requirements, investors will need to understand the impacts of those requirements on financial factors, such as shareholder value and stock price, and companies will need to understand that impacts of required reporting and ESG reporting on their performance.

Case Study: Certified Green Energy

An example of define, measure, and value is an emerging certification process for green energy. Certified green energy is something that energy customers, traders, transporters and suppliers have been increasingly interested in for years. As companies and consumers set and seek to meet low carbon goals, the carbon-content or green value of the fuels they consume becomes more relevant.

There are examples of “mark ups” for premium products that provide a societal good when it comes to the environment, and certainly when it comes to health. The proliferation of “organic” food labeling is an example. The public is increasingly avoiding foods that use growth hormones or those that constrain animals in pens or tight quarters. There is a strong movement against genetically modified organisms, due to both health and ethics concerns. Increasingly, a certain segment of society is willing to pay a premium for foods that are labeled as organic or “non-GMO” foods.  In this case, the definition and measurement has been established, and the Food and Drug Administration is the arbiter. Valuation has been set by the market-how much more does organic kale cost than non-organic kale?

The energy industry is also seeing labeling. For years, utilities and power marketers have been offering green energy alternatives that contain higher renewable content or lower carbon emissions. Lower emission transportation fuels are advertised and are being offered to certain customers. Increasingly, some customers are demonstrating a willingness to pay a premium for cleaner, greener fuels.

At the same time, companies are taking steps to analyze, disclose, and improve their ESG credentials. An important measure of ESG is disclosure of Scope 1, Scope 2 and Scope 3 greenhouse gas (GHG) emissions. Scope 1 emissions are direct emissions that come from a company’s owned or controlled sources. For instance, fuel combustion by a company as well as its vehicle fugitive emissions are Scope 1 emissions. Scope 2 emissions are emissions that come from purchased electricity, heat and steam. Scope 3 emissions are those that come from the supply chain, i.e. purchased goods and services, business travel, employee commuting, waste disposal, transportation, and distribution (upstream and downstream), etc. Green energy, consumed by companies, can improve their Scope 1 and Scope 2 emissions, and even Scope 3 emissions if they are utilized in the supply chain, thus improving ESG performance.

Green energy also creates opportunities for energy companies, all along the value chain. First, it can be deployed to win or keep market share. Second, it might be possible to charge an economic premium. And third, it can serve to improve their ESG performance, in terms of the “E” of ESG.

An example of a growing opportunity for certified green energy is natural gas. Once considered a clean-burning bridge fuel for renewables, natural gas is now being vilified as a dirty form of fossil energy. Methane, the major component of natural gas, is indeed a GHG emitter when it is released into the atmosphere. However, when it is used to create electricity and replace coal-fired generation, it is a major (if not the major) contributor to GHG reductions in the U.S. and has a much greater opportunity for contributions globally. There is a vast base of coal-fired power generation across Asia, that could be replaced with gas-fired generation.

The flaring of natural gas and venting of natural gas in the U.S. shale plays is not helping the situation. It is damaging the reputation of natural gas in the U.S. and globally. For instance, in Europe, which needs to import natural gas, governments and private sector purchasers of natural gas are looking at ways to guarantee that the gas they buy meets green standards. Companies do not want “dirty” gas from U.S. shale operations and the EU is looking at creating green standards (production and transportation data certification) for natural gas right now. Competition between U.S. LNG producers/exporters and exporters from Russia, the Middle East, and Africa is fierce.

Green gas certification could be a differentiator for American companies. There have already been some pilot programs in the U.S. for green gas labeling and transport. This work has demonstrated that certifications can be done and that transactions can take place. It is clear at this point that there is no standard for certification, but that attempts are being made to do so. There also appears to be a lack of alignment with established ESG factors, something that is would be attractive to all parties involved in a certified green gas transactions. Plus, it does not address the “S” and “G” elements of ESG.

Finally, there is a missing piece when it comes to the valuation of certified green energy. Obviously, the green energy premium will ultimately be established by supply and demand, i.e., what the buyer is willing to pay and what the seller is willing to sell it for. (Just as with organic kale mentioned above.) But other factors need to be considered on the front end of a green gas program. There needs to be an established value of the benefit that certified green gas brings to the buyer and the seller in terms of all ESG factors. That valued premium will set the state for certified green gas transactions.

There are three steps is the process of establishing a certified green energy program and marketplace, whether it is for natural gas, renewable electricity, hydrogen, renewable fuels, or other green energy products. They are:

  • Define green energy: There needs to be a clear and standardized definition of each form of green energy. The definition needs to reflect the qualification of factors that make an energy form green.
  • Certify green energy: A standard certification process needs to be established to certify that an energy commodity meets the criteria agreed upon for it to meet the green energy definition. This certification should be performed by a qualified third party that is attached to an academic institution and should be subject to an audit process.
  • Value green energy: A valuation process should be established to determine the value of certified green energy products based on their benefit and value from an ESG perspective. That valuation should be provided by a qualified, independent valuation firm that has the requisite energy, commodity, and intangible asset valuation expertise.

ESG Standardization

It has been widely reported that one of the shortcomings of ESG, as it is currently being applied, is the lack of standardization. There need to be a set of nationally and internationally recognized standards for what qualifies and ESG performance, what constitutes a green fund or a green bond or even green energy.

With this in mind, Cornerstone and ValueScope are embarking on a collaborative research effort with The International Research Institute for Climate and Society (IRI), at Columbia University. This collaboration will focus on addressing critical ESG issues through research and implementation. It will enable Cornerstone and ValueScope to offer their clients, and other participants in this research effort, a role in establishing best practices and standards, as well as taking part in critical research and facilitated discussions that will provide the structure for successful and sustainable future of ESG principles and performance.

Conclusion

Valuation work associated with ESG might be relatively new, but the techniques and tools necessary to perform ESG valuation already exist.  Both public and private companies can articulate their various ESG programs, policies, investment, and strategies using the SASB framework.  Advances in data science, underpinned by widespread digitization of information, make it far easier today to measure just about anything with the right effort and process.  And intangible asset valuation concepts, such that the MPEEM and DIM, can and should be applied to unique ESG cash flows.  ESG valuations can be used to reconcile and support an adjustment to the CAPM, then the WACC, via Alpha. ESG is important and valuable, but it will be even more valuable when it is clearly quantified and valued using conventional and customary approaches. A DEFINE-MEASURE-VALUE approach is the right way to tackle this important and challenging issue.

About the Authors

Jack Belcher serves as a principal for Cornerstone Advisory Services. He has over 25 years of experience in energy and energy policy. Jack provides strategic and tactical advice to energy and transportation companies and financial institutions, focusing on government relations, regulatory affairs, public policy, strategic communications, situational risk management, and Environmental, Social, and Governance (ESG) performance. He is also a founder and managing Director of the National Ocean Policy Coalition. Jack previously served as executive vice president of HBW Resources, LLC, regulatory affairs and policy manager for Shell North America’s Exploration & Production Division, and staff director for the U.S. House of Representatives Subcommittee on Energy and Mineral Resources. Prior to that, Jack worked for the Independent Petroleum Association of America, Hart Energy Publications, and Texaco Gas Marketing Inc. He holds a B.A. in Government from The University of Texas at Austin.

Paul Looney services clients in the upstream, midstream and downstream sectors on government, regulatory and strategic business matters. Paul works with Cornerstone’s clients to ensure that they are compliant with federal regulatory guidelines at agencies that include FERC, DOE, EPA, DOI and with statutory requirements borne from Congressional authorization and appropriation legislation. His expertise also includes working with state and federal regulators in the permitting of large-scale energy projects including inter and intrastate pipelines, CNG and LNG facilities and upstream oil and gas projects. His experience also includes the permitting of exports, such as crude, natural gas and various refined petroleum and chemical products. Previously, Paul was executive vice president of strategic development at HBW Resources in Houston, Texas and prior to HBW, was principal and co-founder of the Washington, D.C. lobbying firm, The Washington Capitol Group. Earlier in his career, Paul served as government affairs director at the American Institute of Aeronautics and Astronautics where he worked with the firm’s corporate members in pursuing defense and energy-related regulations and legislation. Paul began his career in government service in Washington, D.C. at the U.S. Department of Interior in Congressional Affairs at the Bureau of Land Management and later served as legislative assistant to U.S. Congressman Ed Royce (R-CA). Looney holds a B.A. from the University of Texas at Austin and an M.P.A. in International Affairs from George Mason University.

Tom McNulty leads ValueScope’s Houston Office and Energy Practice. His responsibilities include financial consulting, valuation analysis, transaction and dispute advisory, and expert testimony. Tom McNulty has 25 years of experience working across the entire energy value chain.  He draws on a rare combination of industry, banking, consulting, and government experience to provide his clients with transaction, financial advisory, litigation, and valuation opinion services.  Tom holds the prestigious CQF (Certificate of Quantitative Finance) and FRM (Financial Risk Management) designations and received his BA from Yale University and MBA from Northwestern’s Kellogg School with various honors.

Sources:

[1]  https://www.blackrock.com/corporate/sustainability

[2] https://rogersassociatesllc.com/index.php/about-me/

[3] https://www.sasb.org/

[4] https://materiality.sasb.org/

[5]  https://www.sasb.org/

[6] https://www.blackrock.com/corporate/literature/continuous-disclosure-and-important-information/blackrock-2019-sasb-disclosure.pdf

[7] https://www.fsb-tcfd.org/about/#

[8] https://www.un.org/sustainabledevelopment/sustainable-development-goals/

[9] “Calls for corporate disclosure of social impact,” Ed Crooks, Financial Times, June 17, 2012.

[10] https://www.nblenergy.com/climate-change

[11] “Can a daily electricity bill unlock energy efficiency? Evidence from Texas,” Derya Eryilmaz and Sam Gafford, The Electricity Journal, Volume 31, Issue 3, April 2018, Pages 7

[12] “ESG in Equity Analysis and Credit Analysis,” Matt Orsagh, Justin Slogett, and Anna Georgieva, UN-PRI and the CFA Institute, 2018.

[13] “Foundations of ESG Investing: How ESG Affect Equity Valuation, Risk, and Performance,” Guido Giese, Linda-Eling Lee, Dimitris Milas, Zoltan Nagy, and Laura Nishikawa, the Journal of Portfolio Management, Volume 45, Number 5, July, 2019.

[14] “The Intangible Valuation Renaissance: Five Methods, “Antonella Puca, CFA, CIPM, CPA and Mark L. Zyla, CFA, CPA/ABV, ASA, CFA Institute, January 11, 2019.

[15] https://www.nacva.com/content.asp?contentid=166#terms_i

[16] https://www.brinknews.com/the-us-just-had-its-first-hearing-in-congress-on-esg-issues-whats-next-on-the-agenda/

[17] https://joebiden.com/climate/

The information presented here is not nor should it be treated as investment, financial, or tax advice and is not intended to be used to make investment decisions.

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ESG Valuation Considerations – Top Down or Bottom Up?

Click to Download:  ESG Valuation Considerations – Top Down or Bottom Up?

Executive Summary

Issue

The term Environmental, Social & Governance, commonly called “ESG,” is not a new concept.  It was a hot topic before the COVID pandemic, in discussions to measure and value how companies engaged in sustainable and societally beneficial activities.  It will return as a topic across the business, regulatory, and investment communities again soon.

Challenge

The challenge is that it is difficult to value things that are not clearly defined and measured, with some sort of consensus.

Solution

Valuation work associated with ESG might be relatively new, but the techniques and tools necessary to perform ESG valuation exist already.  Intangible asset valuation concepts can and should be applied to unique ESG cash flows.  This work can be used to reconcile and support an adjustment to the CAPM, then the WACC, via Alpha and Beta.  We know ESG is important and valuable, but it will be even more valuable when it is clearly quantified and valued using conventional and customary approaches.

It started sometime last year, during the fourth quarter.  The morning business show Squawk Box began to mention “ESG” on a daily basis.  Sometimes it was one of the hosts, sometimes it was a guest. Then there were two inflection points that marked a higher level of discourse.  First, on December 17th, 2019, SEC Commissioner Hester Peirce went on live television to call for greater oversight of how ESG is used by companies and the investment community.  “The notion that we can come together and we can get our regulator to focus on an amorphous set of qualities other than the long-term financial value of a corporation, I think we’re fooling ourselves,” she said that day on CNBC’s Squawk on the Street.  By that time, more than $17 billion had been invested into sustainable-focused ETFs and open-end funds during 2019.  In 2018, the number was about $5 billion.

“The first issue is that we don’t even know what ESG means,” Peirce continued.  As more and more ESG investing happens, there will be more and more scrutiny as to how a fund defines its ESG qualifications.  Pierce added “Not only is it difficult to define what should be included in ESG, but, once you do, it is difficult to figure out how to measure success or failure.”

The second inflection point was triggered by the “Fundamental Reshaping of Finance” open letter to CEOs on January 14, 2020, by Blackrock Chairman and Chief Executive Officer Larry Fink.  “In a letter to our clients today, BlackRock announced a number of initiatives to place sustainability at the center of our investment approach, including: making sustainability integral to portfolio construction and risk management; exiting investments that present a high sustainability-related risk, such as thermal coal producers; launching new investment products that screen fossil fuels; and strengthening our commitment to sustainability and transparency in our investment stewardship activities.”1

While we might not have an answer right now about the regulatory aspects of ESG reporting, this paper will introduce analytical methods for providing valuations of ESG performance.  Our framework is objective and designed to serve all constituents.  But even before we get to that, there are two essential steps that must be completed first.  Before you can value something, especially something that is intangible, you have to define it.  After it is defined, it must be measured in a way that is transparent, auditable, and objective. Finally, the valuation should utilize vetted, established, and customary valuation techniques and metrics that have been used to value businesses and assets for decades.  There is no need to “reinvent the wheel.” We can value ESG assets and their impact on a business today.  By using techniques that are already accepted in the valuation community, it will not matter which body ultimately sets the standards.  Regardless of whether it is the FASB, the SEC, the AICPA, the ASA; getting in front of this now will create a first-mover advantage.  By focusing now on ESG, companies have the opportunity to affect current shareholder value.

What does this really mean?  Environmental, Social, Governance or “ESG,” is a term very few had heard of even two years ago. Today ESG is not only a dominant topic of discussion across the American business and investment community, it is driving business decisions, impacting corporate structures and organizational charts and it is having a profound impact on investment decisions. The recent global pandemic and economic crisis has not slowed down the drive by companies to establish ESG programs and report ESG metrics, it has accelerated it, as companies seek ways to attract investment capital and demonstrate rigorous ESG risk management in their organizations.

But what has remained elusive for businesses and investors has been a way to quantify the actual and potential risks, losses, benefits, and rewards associated with ESG decisions. The missing piece, the way to tie ESG to valuation, has been the problem facing corporate leaders and Boards, who, for good reason, tie every decision to value creation. They have a fiduciary duty to do so.  How do you justify making substantial investments and fundamental changes to corporate structures and culture without empirical evidence that it will make a direct impact on shareholder value, total shareholder return, net present value, and individual rates of return? What about stock price?

These are fair questions.  Do ESG programs impact firm value?  If they do, how exactly can the valuation impact be measured?  What will need to be addressed by regulators that could allow this valuation impact to be reported?  Will ESG assets be recorded on balance sheets one day soon, just as intangible assets such as goodwill and intellectual property are recorded today?

Valuation

As ESG issues are increasingly impacting the financial performance of companies, there has been little agreement on how they impact valuation. Moreover, financial data such as accounting statements often do not provide the level or type of information needed to make sure the above objectives are appropriately considered. Such considerations inevitably lead to one central question: how do analysts or objective observers assign a proper valuation to a specific company, adjusted for ESG metrics?

The good news is that now that ESG has become more mainstream, ESG metrics used in conjunction with more traditional financial metrics is making it easier to assess the ESG profile of a company, including its overall impact on valuation. For some C-Suite management teams and Board room executives, having the ability to assess valuation enhancements through specific ESG criterial becomes the most critical factor in deciding whether that company decides to implement an ESG program at all.

The first iterations of ESG metrics and investment criteria took a blunt and mundane approach to sustainable investing, by excluding controversial factors and issues or by aiming to deliver a particular benefit or impact. That is not necessarily the case anymore. Now that ESG has become more mainstream, just over the last 18 months, metrics have become more sophisticated and often make quantitative assessments in understanding what those metrics means. It is now possible to apply ESG considerations across a company’s activities and to quantify a defendable valuation of the ESG impact.

More and more work is being done on the valuation aspect of ESG.  Two important papers use a top-down approach.  “ESG in Equity Analysis and Credit Analysis” was published in 2018 by the PRI, the Principles of Responsible Investment arm of the UN, and the CFA Institute.2   Less than a year ago “Foundations of ESG Investing: How ESG Affect Equity Valuation, Risk, and Performance” was published in the Journal of Portfolio Management.3  Both papers, and there are others, proceed down a path that identifies quantified value enhancements at the company level from ESG programs.  They are top-down and address this issue from the perspective of risk.  They combine elements of the Income Method, which is cash flow based, and the Market Method, which is based on comparative analysis.  These approaches can be distilled into one central concept: adjusting the discount rate.

Obviously the lower the discount rate, the higher the valuation, all other items held constant.  Adjustments to Beta can accomplish this.  Beta measures systemic risk, and the performance of a company as compared with a broad index like the S&P 500 or the Russell 2000.  There are also methods to use Beta to assess a private company, if the Guideline Public Companies selected for the analysis, the “comps,” are chose properly.  For example, in a recent valuation we completed, the mean unlevered Beta of a group of 10 comps was 0.58.  The re-levered Beta for the private company we were valuing was 0.56.  But absent an assessment of the ESG components and metrics of the 10 comps, one by one then taken against the S&P 500, there was no way to adjust the Beta with adequate support.

Using Alpha, however, it could be done.  Alpha is an adjustment made to the Capital Asset Pricing Model (“CAPM”) as part of the calculation of the Weighted Average Cost of Capital, or “WACC.”  Alpha is unsystematic risk, unique to the firm undergoing valuation.  It is here that a specific adjustment can be made for ESG value.  As shown below, if the aggregate fair value of the company’s ESG program is 150 basis points, then the Alpha is reduced from 5% to 3.5%.  The valuation increases from    $263.9 million to $271.5 million, implying that the hypothetical ESG program is worth almost $8 million.

Esg Valuation Considerations - Top Down Or Bottom Up?

But how do we support the adjustment to Alpha?  The time has come for ESG to be an asset that can be defined, measured, and valued.  According to the CFA Institute, “Intangible assets are increasingly critical to corporate value, yet current accounting standards make it difficult to capture them in financial statements. This information gap can affect valuations for the worse.”4   The authors were not even referring to ESG Intangible Assets, or the potential for the identification and separation of ESG intangibles in the near term.  Their article provides and overview of intangible asset valuation and its challenges.

Intangible assets lack physical substance but are not financial assets.  According to the International Glossary of Business Terms,  intangible assets are, “non-physical assets such as franchises, trademarks, patents, copyrights, goodwill, equities, mineral rights, securities and contracts (as distinguished from physical assets) that grant rights and privileges, and have value for the owner.”5  Brand can be an intangible asset as well, and the value of a brand can be enhanced if the brand is associated with ESG programs.  The problem is that US GAAP only allows intangible assets to be recorded in a balance sheet if they have been acquired.  But regardless if or of when this might change, the valuation techniques that are used to value intangible assets can be used to value the impact of ESG on a company’s total value.

There are several methods that can be used to fair value intangible assets, and we will look at five here.  The first is the Relief from Royalty Method, or RRM.  With this technique, value is calculated by using hypothetical royalty payments that would be avoided by owning an asset rather than having to pay for it via a license.  We use the RRM most of the time to perform valuations of trade and domain names, trademarks, software, and certain types of R&D.   It is unlikely that RRM can be used to value ESG at this time, as there is not enough data available yet to isolate what a real royalty rate might be for that can be tied to a specific revenue stream and where data on royalty and license fees from other market transactions are available.

The Multiperiod Excess Earnings Method, (“MEEM”) has more promise.  It is an income approach, using discounted cash-flow analysis. But instead of using the whole entity’s cash flow, with the MEEM we will isolate the cash flows that we can prove are driven by specific ESG factors.  Usually the MEEM is used for an intangible asset that is the main driver of a company’s valuation, but that does not have to be the case.  We often use it for customer and client related assets, but again, ESG is a new area of study and the MEEM should not be ruled out.

A third approach is called “with and without,” or the Differential Income Method.  With this technique we value the company, and then revalue it with any and all ESG related factors removed.  The difference in fair value equates to the fair value of the ESG program or assets.

Real Options modeling can also be used to value intangible assets and is most often a technique that lends itself to value that will accrue in the future, with some uncertainty.  For example, patents might have no value today, but could be very valuable in the future if developed.  Pharmaceutical intangibles are often analyzed this way.

Lastly, “Replacement Cost Method Less Obsolescence” can be used for intangible asset valuation by calculating replacement cost for the intangible asset if it were brand new, and then applying an obsolescence factor unique to the intangible asset.

Conclusion

Valuation work associated with ESG might be relatively new, but the techniques and tools necessary to perform ESG valuation exist already.  Both public and private companies can articulate their various ESG programs, policies, investment, and strategies.  And intangible asset valuation concepts, such that the MEEM and the Differential Income Method, can and should be applied to unique ESG cash flows.  This work can be used to reconcile and support a top-down adjustment to the CAPM, then the WACC, via Alpha.  We know ESG is important and valuable, but it will be even more valuable when it is clearly quantified and valued using conventional and customary approaches.

ValueScope: Measuring, Defending and Creating Value for Our Clients

ValueScope is a leader in the application of fair value measurement applying the Mandatory Performance Framework for better compliance with the Public Company Accounting Oversight Board.

Esg Valuation Considerations - Top Down Or Bottom Up?

Sources:

[1] https://www.blackrock.com/corporate/sustainability

[2] ESG in Equity Analysis and Credit Analysis,” Matt Orsagh, Justin Slogett, and Anna Georgieva, UN-PRI and the CFA Institute, 2018.

[3] “Foundations of ESG Investing: How ESG Affect Equity Valuation, Risk, and Performance,” Guido Giese, Linda-Eling Lee, Dimitris Milas, Zoltan Nagy, and Laura Nishikawa, the Journal of Portfolio Management, Volume 45, Number 5, July, 2019.

[4]  “The Intangible Valuation Renaissance: Five Methods, “Antonella Puca, CFA, CIPM, CPA and Mark L. Zyla, CFA, CPA/ABV, ASA, CFA Institute, January 11, 2019.

[5]  https://www.nacva.com/content.asp?contentid=166#terms_i

For more information, contact:

Thomas J. McNulty CQF, FRM, MBA

PRINCIPAL AND MANAGING DIRECTOR, HOUSTON
tmcnulty@valuescopeinc.com

The information presented here is not nor should it be treated as investment, financial, or tax advice and is not intended to be used to make investment decisions.

If you liked this blog you may enjoy reading some of our other blogs here.

Middle Market Private Equity M&A Activity – Q1 2020

Click to Download:  Middle Market Private Equity M&A Activity – Q1 2020 Market Valuations Shift

Executive Summary

Valuations Heightened

The simple average Enterprise Value (EV) to EBITDA multiple of 7.4x for Q1 2020 was marginally higher than the previous four quarters. This was the net result of a shift in sentiment considering size and industry factors.

Size Premium

Size became an even greater pricing consideration for the middle market as transaction multiple variances widened for acquisition targets above and below $50 million.

Continued Use of Leverage

Total debt to EBITDA remained at 3.9x from 2019. Senior debt to EBITDA rose steadily to 3.5x, up from 3.2x and 3.0x in 4Q and 3Q 2019, respectively.

Distribution Takes the Top

Transaction multiples for the distribution industry sharply rose above the health care services and technology industries for the first time over the past five years.

Based on our review of GF Data’s latest M&A Report, the reported results for Q1 2020 display a slight increase in transaction multiples, contrary to previous, first-quarter declines.  Although enterprise value (EV) to EBITDA multiples rose to 7.4x, an increase of 0.3x from Q4 2019, material shifts occurred between company size and industries as a result of the COVID-19 pandemic. The total number of reported Q1 2020 transactions remained normal at 62. Most of these transactions took place in the first two months of the quarter before business conditions weakened in early March.

Middle Market Private Equity M&Amp;A Activity - Q1 2020

Average EV/EBITDA transaction multiples increased for the larger companies in the $50 – 250 million enterprise value range and decreased for the smaller companies in the $10 – 50 million range. The increased market uncertainty likely caused a premium to be paid for the larger and perceived safer, companies.

Industry Analysis

We analyzed industry average EV/EBITDA multiples of acquisition targets to gain a more in-depth understanding of how the market perceived industry risk and growth prospects as COVID-19 began to disrupt the marketplace during the first quarter. Approximately 80% of the reported deal volume comprises four industries: manufacturing, business services, health services, and distribution.

Middle Market Private Equity M&Amp;A Activity - Q1 2020

The average EV/EBITDA transaction multiple for health care services experienced a steep decline to 7.4x in Q1 2020, down from 8.4x in 2019. The health care services industry has been negatively impacted in the short-run by the COVID-19 pandemic, as both practices and patients avoided preventative check-ups and elective treatments.  On the contrary, the distribution industry average EV/EBITDA multiple increased markedly to surpass all other recorded industries. The distribution industry was valued extremely high in the first quarter as consumer e-commerce presence and demand for deliver-to-door goods grew considerably. Manufacturing and business services transaction multiples remained approximately the same over the last few years. The technology industry experienced a dip in its average EV/EBITDA valuation multiple to its lowest level since 2016. There was no recorded Q1 2020 transaction data for the retail and media telecom industries.

For more information, contact:

Middle Market Private Equity M&Amp;A Activity - Q1 2020

Michael Hanan

ASSOCIATE
Full Bio →

 

The information presented here is not nor should it be treated as investment, financial, or tax advice and is not intended to be used to make investment decisions.

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Illiquid vs. Insolvent – Understanding the Difference

Click to Download:  Illiquid vs. Insolvent: Understanding the Difference

Executive Summary

The Issue:

Companies are facing cash shortfalls as they struggle to reopen from the COVID-19 lockdown.  Companies facing short-term liquidity challenges can seek new cash sources, such as the government’s Payroll Protection Program “PPP” or a bank line-of-credit.  However, certain companies may never achieve the revenue and profitability necessary to remain viable as a going-concern and may ultimately be forced into bankruptcy.  Understanding whether your company faces a liquidity or solvency issue will allow you to most efficiently utilize your available resources.

Illiquid vs. Insolvent

Operating models of illiquid companies may be viable in the long-term, but cash issues could arise in the near-term due to poor cash management or an exogenous shock to the company’s operating performance.  Insolvent companies, on the other hand, have an unsustainable operating model to support operating and debt obligations over the long-term.

What Needs to be Done?

A complete understanding of the company’s financial obligations and operating outlook is necessary to understand whether the company is experiencing a liquidity or solvency issue.  Companies which are publicly traded or have bank debt may require solvency opinions to be performed.  ValueScope’s team of experienced financial analysts and consultants can help you understand what your options are to get through this difficult time.

Our team of professionals provides:

    • Experience- we’ve conducted solvency and liquidity analyses for clients across the country
    • Credibility- Ph.D.’s, CFA’s, CPA’s, ASA’s, CVA’s, and MBA’s
    • Independence- we have the personnel, expertise and research resources to provide the assurance you require for a solvency opinion

The Issue at Hand

As businesses have been unable to fully function because of the COVID-19 pandemic, governments have stepped in to provide stimulus packages to equip them with the resources to survive the short-term.  In the United States, the Payroll Protection Program (“PPP”) was set up to provide small businesses with a direct financial incentive to keep their workers on the payroll [1].  Yet the PPP, or any realistic government program, can only solve a business’s short-term liquidity issues.  When a business’s operating performance struggles for a prolonged period of time, and their short and long-term cash inflows are no longer able to meet their financial obligations, the company could become insolvent.

Understanding a Liquidity Issue

A company’s liquidity is a measure of its ability to meet its near-term financial obligations.  Companies can be profitable with positive cash flow and experience liquidity issues.

As an example, assume ABC Company has the following cash flow statement:

Illiquid Vs. Insolvent - Understanding The Difference

As the cash flow statement indicates, ABC Company has positive monthly net income of $100, and sufficient cash flow to cover their necessary capital expenditures and debt repayment obligations.  As a result, the net monthly cash flow is positive $50.  However, a profitable company can still experience a short-term liquidity issue.

As mentioned above, liquidity issues arise when a company cannot meet their near-term financial obligations.  Imagine that ABC Company has the following balance sheet:

Illiquid Vs. Insolvent - Understanding The Difference

Companies experiencing a liquidity problem often face a disconnect between their current assets and current liabilities.  As the ABC Company balance sheet indicates, the company’s current ratio is below 1.0, meaning current liabilities exceed current assets [2, 3].

Additionally, assume $50 of the salaries payable are due today and $25 of the short-term debt is due tomorrow.  Currently ABC Company’s cash on hand is insufficient to meet these needs.  ABC Company is now unable to meet their debt obligations and could be forced into bankruptcy if they cannot meet their obligations.

Dealing with Liquidity Issues

Fortunately, liquidity issues can be resolved in the short-term through obtaining additional financing, such as a line of credit, and in the long-term through better cash flow management.  Improved cash flow management could include negotiating better terms on a company’s AR and AP, and better managing inventory levels.

The PPP is designed to keep companies from experiencing liquidity issues by providing them with the cash necessary to pay their day-to-day expenses and keep them from experiencing a liquidity issue.  However, the PPP is not indefinite, in which case businesses which struggle to regain their customers could ultimately experience a solvency issue.

Understanding When Illiquid Becomes Insolvent

While there are numerous operational and financial options for companies experiencing illiquidity issues, companies experiencing insolvency have far fewer options.  Insolvency includes illiquidity, but without realistic financing options and immediate operational opportunities for improvement.

As an example, assume that XYZ Company has the following cash flow statement:

Illiquid Vs. Insolvent - Understanding The Difference

Unlike our illiquid company, XYZ Company’s monthly cash flow is not sufficient to cover their debt repayment obligations.  Even if they were to cut their capital expenditures to $0, XYZ Company would not generate sufficient cash flow to service their debt.  In this scenario, any short-term financing or accounts receivable improvement would only provide a temporary solution.

Additionally, imagine the XYZ Company has the following balance sheet:

Illiquid Vs. Insolvent - Understanding The Difference

In addition to having cash flow issues, XYZ Company also has total liabilities which exceed total assets.  Between their short-term and long-term debt, XYZ Company has total debt of $850.  Even if XYZ Company sold all of their assets at book value, they would not be able to cover their debt obligations.

Dealing with Insolvency

Companies facing insolvency do not generate the income and cash flow necessary to support their operational and debt obligations.  These companies must identify opportunities to increase net income and cash flow from operations, either through increasing revenue or decreasing expenses.  If the company is unable to improve their operations, their debt burden will be too great, and the company will eventually be forced into bankruptcy.

ValueScope Can Assist You

Companies facing liquidity and solvency issues face tremendous challenges.  Whether it is dealing with creditors, requiring solvency opinions, or working to improve cash flow management, ValueScope’s team of financial and valuation consultants can assist you and help get you through this difficult time.

[1] Loans made through the PPP will be forgiven if all employees are kept on staff for the next eight weeks and the money is used for payroll, rent, mortgage interest, and utilities. (Source: https://www.sba.gov/funding-programs/loans/coronavirus-relief-options/paycheck-protection-program-ppp)

[2]  Current Ratio = Current Assets / Current Liabilities.  The current ratio is the most basic liquidity test. It signifies a company’s ability to meet its short-term liabilities with its short-term assets. A current ratio greater than or equal to one indicates that current assets should be able to satisfy near-term obligations. A current ratio of less than one may mean the firm has liquidity issues. (Source: Morningstar).

[3] Evaluating a “good” current ratio requires a review of the business model, industry averages, and historical performance.

[4]  Currently the PPP funds must be spent in the first eight weeks for the loan to be forgiven.

For more information, contact:

Illiquid Vs. Insolvent - Understanding The Difference

Benjamin Westcott, CFA

MANAGER
Full Bio →

The information presented here is not nor should it be treated as investment, financial, or tax advice and is not intended to be used to make investment decisions.

If you liked this blog you may enjoy reading some of our other blogs here.

The COVID-19 Market Decline: Now May Be the Best Time to Gift

Click to Download:  THE COVID-19 MARKET DECLINE:

NOW MAY BE THE BEST TIME TO GIFT

It has certainly been a rough couple of weeks with the recent fall off in the stock market and the shutdown of many businesses, but there may be a silver lining for people who intend to gift in the near future.  The recent decline in market valuations provides an opportunity to gift at lower values, potentially allowing you to gift assets using your lifetime exemption that would have otherwise resulted in a taxable event before the decline.  Given the additional uncertainty surrounding the Presidential Election and what might happen to the estate and gift tax exemption level, now may be the best time to do some gifting.

The U.S. Stock Market Value Over the Last Five Years

From March 23, 2015 through February 19, 2020, the S&P 500 increased from 2104.42 to 3386.15, a 60.9% return excluding dividends.  Between February 19, 2020 and March 19, 2020, the market decreased by 28.85% to a value of 2409.39.  The market decline over the last month decreased the total return over the five-year period ending February 19, 2020 to just 14.5%.  The chart below shows the S&P 500’s value over the five-year period ending March 19, 2020.

The Covid-19 Market Decline: Now May Be The Best Time To Gift

Looking at the performance of the stock market this year, we see a decline of 25.4% year-to-date through March 19, 2020.  However, the year did not start that way.  From December 31, 2019 to February 19, 2020, the S&P 500 increased from 3230.78 to 3386.15, a gain of 4.81%.  The index then fell to 2409.39 as of March 19, 2020, a decline of 28.85%.  The chart below shows the S&P 500’s value year-to-date through March 19, 2020.

The Covid-19 Market Decline: Now May Be The Best Time To Gift

Enterprise Value to EBITDA (EV/EBITDA) Multiples Over the Last Five Years

From March 23, 2015 through February 20, 2020, the Enterprise Value (EV) to EBITDA multiple for the S&P 500 increased from 10.60x to 14.73x, an increase of 38.96%.  Between February 20, 2020 and March 19, 2020, the EV/EBITDA multiple decreased by 25.19% to a value of 11.02x (only 3.96% above the value five years earlier).  The following chart shows the S&P 500’s EV/EBITDA multiple over the five-year period ending March 19, 2020.

The Covid-19 Market Decline: Now May Be The Best Time To Gift

The EV/EBITDA multiple at the end of last year was 14.06x, which was in the 97th percentile of the EV/EBITDA multiple distribution over the last five years.  The recent value of 11.02x on March 19, 2020 is below the 25th percentile.  The chart below shows the distribution of the S&P 500’s EV/EBITDA multiple over the five years ending March 19, 2020.

The Covid-19 Market Decline: Now May Be The Best Time To Gift

Appendix A (download the paper to view Appendices) contains the major valuation multiples for the S&P 500 and its industry sectors as of December 31, 2019.  Additionally, it shows the rank of the industry sectors based on each valuation multiple.  Appendix B contains the same information as of March 19, 2020. 

Appendix C shows the percentage change in the valuation multiples from December 31, 2019 to March 19, 2020 as well as the rank of the industry sectors based on largest decline in each valuation multiple.  As one would expect, the Energy Sector had the largest decline in all multiples, except for price to earnings (P/E), where the Energy Sector actually had an increase.  The Financials Sector saw the next largest decline in valuation.  The Utilities and Consumer Staples Sectors saw the smallest declines in valuation, which is expected given they are both defensive industries.  That said, both industries still saw significant declines in valuation.

Conclusion

The significant recent declines in valuation multiples provides an opportunity to execute gifting at lower values that could have been done previously.  Given the additional uncertainty surrounding the Presidential Election and what will happen to the estate and gift tax exemption level following the election, it may very well be an opportune time to gift.

[1]  A 10.2% annualized return over the 4.9-year period.

[2]  A 2.7% annualized return over the 5.0-year period.

[3] While the S&P 500 reached a high on February 19, 2020, the EV/EBITDA multiple reached a high on February 20, 2020.

[4]  Earnings before interest, taxes, depreciation, and amortization or EBITDA is a measure of earnings (profitability) of a company and is frequently used as a proxy for operating cash flow.

[5]  The daily EV/EBITDA multiples were obtained from S&P CapitalIQ.  CapitalIQ aggregates the multiples of the index constituents, using a weighting based upon market cap or enterprise value.

For more information, contact:

The Covid-19 Market Decline: Now May Be The Best Time To Gift

Michael Conroy, CFA

DIRECTOR
mconroy@valuescopeinc.com

Mr. Conroy has more than 20 years of consulting and business valuation experience, concentrating on complex estate and gift valuation matters. He provides business valuation and financial consulting services to companies in a broad range of industries. Working with domestic and international clients, Mr. Conroy has performed thousands of business appraisals involving gift and estate tax, financial reporting, mergers, and acquisitions (valuations for buyers/sellers, fairness, and solvency opinions), litigation support, expert testimony, and other company requirements (including stock options and ESOPs). Mr. Conroy previously worked with the national valuation firm CBIZ Valuation Group, LLC here he was a senior manager. Prior to that, he taught chemistry and physics to high school and college students at Xavier College in Ba, Fiji, for two years as a U.S. Peace Corps volunteer.

The Covid-19 Market Decline: Now May Be The Best Time To Gift

Jason Wainwright, CFA, ABD

SENIOR MANAGER
jwainwright@valuescopeinc.com

Mr. Wainwright is a Senior Manager at ValueScope Inc., Inc. In this position, he has worked on and managed numerous business valuations and projects for firms spanning multiple industries, including energy, defense, consumer products, professional services, and healthcare. Mr. Wainwright is a CFA charterholder, has a BBA in Finance & Economics from Texas Wesleyan University, and a MS in Quantitative Finance from the University of Texas at Arlington. Additionally, Mr. Wainwright completed all of the course work and the written and oral comprehensive examinations toward a Ph.D. in Finance from the University of Texas at Arlington.

 

The information presented here is not nor should it be treated as investment, financial, or tax advice and is not intended to be used to make investment decisions.

If you liked this blog you may enjoy reading some of our other blogs here.

Valuation During a Pandemic

Valuation During a Pandemic: How to Approach Covid-19 When Investing in Common Stocks

In financial markets, infrequent or rare events are referred to as “Black Swan” events.  The term “Black Swan” was popularized by Nassim Nicholas Taleb in his 2007 book, The Black Swan:  The Impact of the Highly Improbable.  Taleb describes Black Swan events as possessing three key attributes:

  1. Extremely rare
  2. Severe impact
  3. Obvious in hindsight

Such events can have fundamental causes such as the 2008 market decline and recession or simply can be the result of herd events where people rush to reset expectations.  Regardless of the cause, the US stock market and securities markets in general have proven to be surprisingly resilient since World War II.

The chart below depicts the S&P 500’s value from September 12, 2008 (the trading day before Lehman Brothers declared bankruptcy) through December 21, 2010.  On September 12, 2008, the index closed at 1251.70.  Over the following six months, the S&P 500 fell 46.0% to 676.53.  The market recovered over the following 21 months, reaching 1254.60 on December 21, 2010.

Valuation During A Pandemic

Similar to the 2008 crash, the coronavirus, or Covid-19, typifies a Black Swan event.  Due to the high incidence of severe cases and lack of sufficient hospital and emergency facilities to handle the pandemic if left unchecked, suppression strategies to slow the spread and peak number of cases requiring hospitalization are being adopted [1].   These suppressions strategies include:

  • Self-quarantine for persons exposed to persons with the virus;
  • Closing schools for periods of time;
  • Limiting the size of group meetings;
  • Restricting or closing many retail businesses;
  • Limiting food service to drive-through or take-out;
  • Limiting travel (banning some international destinations and persons originating from certain places) and screening passengers departing and arriving on planes and ships
  • Banning unnecessary travel outside the US (e.g., to parts of Italy and China).

Obviously, such suppression strategies will have economic consequences that will suppress or depress economic activity in many business sectors but could reward others.  Additionally, the greater the uncertainty as to how long, how severe, and how permanent the damage, the greater will be the valuation consequences.

The following chart provides a comparison of the stock market during the 2008 crash following the Lehman Brothers bankruptcy and the Covid-19 crash that we are currently experiencing.  We have indexed the starting values to 100 to provide a better comparison.  March 17, 2020 was the 19th trading day of the Covid-19 crash.  Since the high of 3386.15 on February 19, 2020, the market has declined 25.3% to close at 2529.19 on March 17th.

Valuation During A Pandemic

As shown in the chart above, the trajectory of the Covid-19 crash is similar to that of the 2008 crash.  By day 19 of the 2008 crash, the market had lost 27.3%, declining from 1251.70 to 909.92.  The key question is:  How will Covid-19 actual impact valuations moving forward?  This paper seeks to provide a framework for answering that question.

Market Valuation:  The Two Key Factors

Fundamentally, all valuations should be based on two factors: 1) expectations of the amount and timing of future cash flows and 2) the perceived “systematic” risks associated with such cash flows.  It follows then that changes in valuations result from changes in these two factors.  John Campbell and Tuomo Vuolteenah describe the sources of market crashes as:

”The value of the market portfolio may fall because investors receive bad news about future cash flows; but it may also fall because investors increase the discount rate or cost of capital that they apply to these cash flows.” [2]

Factor 1:  Expectations Regarding the Amount and Timing of Cash Flows

For most businesses, especially those in hospitality (e.g., restaurants, hotels/motels), entertainment (e.g., sporting events), and travel (e.g., airlines), there will be an extended period where business will be depressed (even without government mandates or restrictions) or entirely shut down.  Some estimates project extremely depressed activity levels in the United States could be as short as mid-May or at least until August 2020.  Additionally, it may be that periodic shutdowns in specific communities, regions of the world, or countries may occur until there is confidence that anti-viral regimens have proven successful in limiting and treating the illness and become more widely available, vaccines are at least safe and partially effective and more widely available, and/or the capacity of the health care facilities and systems to treat the severe cases is manageable.   That may mean that we cannot expect a complete resumption of previous levels of travel and commerce in some business sectors until as late as mid-2021 but we might observe partial recoveries in at least some activities over time.

For the most adversely affected businesses, there will be questions regarding the extent of the losses and the ability to sustain them.  Business which requires travel, larger groups, or social interaction are likely to suffer the greatest losses.  At this point in time, at least until the next set of quarterly earnings, conference calls, and revised guidance, the extent of the losses will be uncertain even within defined periods of time, and the length of time those losses will occur will still remain highly uncertain.  This explains in large part the high volatility (i.e., large fluctuations) in the US stock exchange indices over the past two weeks.

Resiliance

 Resilience relates to the ability of businesses to withstand periods of depressed economic activity.  Resilience is affected by a company’s degree of operating leverage and financial leverage.  Operating leverage is affected by the fixed costs and expenses a business must incur to remain either minimally open (if remaining open but with reduced economic activity) or to prevent a loss of the value of assets or foreclosure (e.g., rents, maintenance, storage costs, minimum salaries of retained personnel).  Financial leverage is a function of the amount of liquid assets (cash and investments, which reduce leverage) a business has and the amount of liabilities, especially interest-bearing debts, a business must honor, and the rate of payments required to avoid a default, foreclosure, or bankruptcy. [3]

Mitigation

Mitigation is related in part to the degree to which government subsidies or supports may be received, creditors may extend credit or defer required payments, and the extent to which the company will be able to raise additional funds, if needed, in order to avoid failure and soften the losses.  Government support is likely only in key business sectors, is uncertain as to amount and types (more likely in the form of loans which will have to be repaid once the economy recovers) and will likely vary by country and business sector.  US airlines, for example recently estimated losses of at least $58 billion and appear to be hopeful that at least some types of favorable loans might be provided for relief, but no specific indication exists as to the extent or type of mitigation.  Many creditors of businesses suffering short-term losses or distress may be willing to defer or reduce required or past-due payment amounts on liabilities in order to prevent any otherwise viable business from being forced into bankruptcy.

Cash Flow Expectations and Valuation

To simplify the problem of valuing a common stock, it might be possible to think in terms of the cash flow from now through the end of the crisis, the price at the end of the crisis,  and the probability that the business survives the crisis.  In this framework, the value of a common stock would be as follows:

Valuation During A Pandemic

where:

P0   =    the current price of the security

psurvive  = probability that the business will survive until the end of the crisis

CF =    the “cash” earnings or net cash flow per share between now and the end of the crisis

P1   =    the price of the security at the end of the crisis

r     =    the required rate of return over the crisis period which is the function of the long-term market risk-free interest rate and risk premium required for the given stock

In an even more simple way to proceed, think of CF as the amount of dividends you expect through the end of the crisis.  For many companies that do not pay dividends, the amount expected is zero. [4]  Given that, the only question is determining psurvive, P1, and r.

The reason why the stock market indices are so volatile (and implied volatilities used to value stock options are so high) is because investors have different and rapidly changing views about the cash flows during the crisis, the probability of survival, the value at the end of the crisis, and the required rate of return for each company that is publicly traded and for the market as a whole.  To the extent that many investors are looking at broad stock market indices and funds (ETFs or mutual funds), it is entirely likely that some common stocks will be inappropriately valued initially when panic selling occurs.

Some companies, like utilities and communications providers, may experience reduced revenues but have sufficient and sustained revenues (unless they have high debt loads) to remain minimally profitable during the interim period.  In that case, we might consider even a positive but reduced level of earnings in the short term with positive cash flow during the crisis and a probability of survival that would equal 100% or close to it.

Some grocery stores and pharmacies might actually be experiencing an increase in demand and sudden surge in revenues, but investors may be substantially overestimating the long-term effects.  Investors may be both overestimating the effects of cash flow increasing and implicitly assuming that the price after the crisis will increase as well when that may not be a reasonable assumption.  In other words, the sudden surge in buyers in grocery stores for certain products over the weekend may simply be temporary and once the one-time fears and sudden increases in demand have been fulfilled, revenues will revert to more traditional replacement level demand or may even decline later, to the extent only necessities are purchased by customers until the economic uncertainties are resolved.  This would mean that the short-term effects will be extremely modest or immaterial from a valuation standpoint.

Even when valuing a REIT (Real Estate Investment Trust), you may have to consider the extent to which certain properties derive a portion of their rents from the revenues of their larger tenants, experience increased vacancies, or have to decrease or defer rent payments from tenants until the economy recovers.  In that case, you might discount the amount of dividends that a REIT will pay or be able to pay from now until, say, June 30, 2020.

The oil and gas exploration and production industries are particularly interesting.  The availability of new methods of extraction and production have increased the estimated reserves available worldwide and lowered the costs.  Additionally, demand is affected by economic activity and, thus, expected to be depressed at least until sometime in 2021.  Finally, Russia and Saudi Arabia were unable to agree on reduced production levels, and Russia reportedly believes it can squeeze out the US producers that are heavily indebted to reduce the growth and amount of US production coming into the world market and depressing prices.  In that case, many US oil and gas producers may be facing substantial losses or declines in revenues, especially due to the extent they must drill, complete, and stimulate wells to continue to sustain production and/or are more heavily indebted.  Thus, for many US oil and gas producers, the probability of survival, will likely be significantly less than 100% and cash flow will certainly be negative for the company unless they own a lot of low-cost producing reserves.  Dividend payments will likely be suspended and the value remaining at June 30, 2021 (P1) may be reduced.

Factor 2: “Systematic” Risk and Uncertainty

Investors will naturally discount future values for the time it takes to realize those returns and for the underlying uncertainty.

“Systematic risk”

Most investors are considering a broad portfolio of investments.  They are not concerned with risks that are unique to a given company if those “company-specific” risks can be offset or can be substantially diluted by holding a diversified mix of common stocks.  Instead, they care more about “systematic” risk and especially “downside” risks that occur when the decline in value coincides with market-wide stock price declines and economic downturns.  For this reason, the discounts investors require do vary over time.  During periods of relatively stable economic activity and growth, the discounts for “systematic” risk tend to be reduced over time.  This is one reason the US stock market indices since 2010 have increased steadily and implied “risk premiums” over this period of time through say early February 2020 have generally declined.  However, in the current market conditions, with the belief that the US and world economy is in or will be in a severe recession in 2020, the “risk premium” has increased and is expected to increase substantially.  This means that the discount on the future value will be greater but even more importantly, sometimes investors apply the increased discount rate to the projected value of the stock and reduce the projected growth rates in the future for the economy and the business.  The simple “Gordon Growth” model is as follows:

Valuation During A Pandemic

where:

P0   =    the current price of the security

CF =    the steady-state level of “cash” earnings or net cash flow per share

g   =    the projected “normal” level of growth in earnings per share

r     =    the required rate of return which is the function of the long-term market risk-free interest rate and risk premium required for the given stock

Given the recent stock market declines, investors appear to be assuming generally that even when the economy recovers and stabilizes, CF may be lower in the future than now on a per share basis, g may be lower than previously expected, and the risk premium is greater due to uncertainty than it has been in the past. 

If, however, the economy stabilizes and recovers by June 2021, then the risk premium may revert back to normal and the stock market indices may entirely recover by June 2021 or at some point thereafter.  This may create a short-term investment opportunity at some point in 2020.  For example, Goldman Sachs on March 16, 2020 issued a general report indicating that it expected US stocks to potentially decline another 16% to a bottom around 2,000 on the S&P 500 Index from 2,386 at the close of trading on Monday, March 16, 2020.  The all-time high was reached on February 16, 2020, at 3,394.  Thus, by March 16, 2020, the S&P 500 Index (a broad US market index for common stocks) had fallen almost 30% from the high one month earlier.  If Goldman Sachs is correct, we could expect as much as a 41% decline from the highs realized earlier on February 16, 2020, in the next few months.

What is interesting, however, is Goldman Sachs is also predicting that the US stock market will recover most of the losses realized in the past month by the end of 2020.  Goldman Sachs projected the S&P 500 Index to be at 3,200 at year end under the scenario presented.  In other words, investors by the end of 2020 will have greater clarity and less uncertainty and assume that the economy and stock prices will entirely recover.  That would mean that share prices for larger US stocks would increase 26.5% from the close on Tuesday, March 17, 2020. 

Most investors are not making this assumption.  If they were assuming this to be true, then the S&P 500 Index would likely have recovered to at least 2,800 already.  It is more likely and assumed by most investors that at least some of the damage suffered in 2020 will be sustained and some companies will not recover from the economic effects by the even end of 2021. 

Uncertainty

Risks that are identifiable and understood tend to be managed and discounted in a normal and predictable manner.  Uncertainties that are more general and greater than normal, on the other hand, are not well managed or “priced” by investors.  Investors tend to overstate the “risks” in the face of uncertainty on average and, thus, tend to increase the risk premium in the expected return for investments more than they should and discount the longer-term average expected rate of return on such investments. 

Professor Damodaran, a corporate finance and valuation professor at the Stern School of Business at New York University, maintains an estimate of the equity risk premium. [5]  He estimated that the equity risk premium increased 55 basis points (0.55%) from February 1, 2020 to March 1, 2020, which only captures part of the market reaction to date. [6] In broad terms, that is more than a 10% increase in the equity risk premium in one month.  Also, long-term growth rates have declined in his estimates.  While approximate, this does give a good idea of the effects of uncertainty and suddenly negative news on how investors discount for risk and uncertainty.  By March 17, 2020, the implied equity risk premium increased by perhaps another 70 basis points (0.70%), which means that the equity risk premium increased by about 25% in one month due to uncertainty.     

Assuming the economy stabilizes and risk premiums revert to prior levels, this creates opportunities for investing against market sentiment.  For example, if an investor made a bet on the S&P 500 Index at the end of October 2008 (after the Lehman Brothers collapse but well before the market had bottomed out), and reinvested all dividends through March 17, 2020, the total return would have been 232.38%, or 11.1% per annum.    If an investor bet at the end of February 2009 (when the market was close to the bottom) and held until the end of January 2020 (close to the peak), then the total return would have been 450.5%, or 16.9% on an annualized basis. 

Obviously, it is not possible to “time” the market so perfectly, but the lesson from this example is that investors who hold on and don’t panic often come out with reasonable returns over longer investment horizons and holding periods. 

What the current stock prices in the US tell us is that investors may be over-reacting to short-term events that, assuming no systematic failures of the financial system occur, may provide unusual investment opportunities in the short-term. 

On the other hand, Goldman Sachs may be too optimistic in not accounting for the dilution in share values and debts that may be required to raise capital or borrow to cover losses in the short term in order to keep companies from failing and the risks of some companies failing.  At least some investors are betting on that happening.  Furthermore, if the US and world economy suffers more systematic damage to the institutions and faith in those institutions, a series of more serious consequences may follow, as occurred in the 1930s during the Great Depression.  The effects of the Great Depression were systematic in terms of failing financial institutions and the time required to recover.  Ultimately, a world war occurred, and it required a unique set of circumstances to pull the US economy out of the depression.  We highly doubt that will occur in this instance but cannot say that the risk is zero of at least some systemic damage occurring.  

Conclusion

We cannot predict what will occur and recognize tremendous uncertainty exists at this time as to the ultimate economic effects of the current pandemic.  But reacting and thinking logically helps to avoid panic selling into a downturn or overly enthusiastic buying in a booming market (which may have been the case by February 16, 2020).

[1]  See Walsh, “US, UK coronavirus strategies shifted following UK epidemiologists’ ominous report,” CNN, March 17, 2020.  Using simulation modeling, researchers estimated that “even if all patients were able to be treated, we predict there would still be in the order of 250,000 deaths in [Great Britain] and 1.1-1.2 million in the US.” Perhaps 15% of all persons infected will experience severe symptoms requiring treatment including oxygen and 5% of more will require critical treatment with ventilation, according to WHO.  Mortality estimates have been as high as 1% to 4% generally and are much greater for persons above the age of 60 or with known weaknesses in immune responses or adverse circulatory or respiratory conditions)

[2]  Campbell, J. Y., & Vuolteenaho, T. (2004). Bad Beta, Good Beta. The American Economic Review, 94(5), 1249–1275. Retrieved from http://www.jstor.org/stable/3592822

[3]  Financial distress can impose additional costs and cause even greater losses and, if severe, can inhibit a business from recovering once economic activity recovers.  See Hakala and Keath, “Analysis and Valuation of Distressed Equity Securities,” Valuation Strategies, September/October 1999, pp. 24-34.  Publisher: Warren, Gorham & Lamont.

[4]  Some companies will pay dividends over the interim period and possibly at a decreasing rate or amount as economic conditions deteriorate. 

[5]  Damodaran’s estimated equity risk premiums are updated on a monthly basis at:  http://pages.stern.nyu.edu/~adamodar/. 

[6]  The S&P 500 index decreased by 9.07% from February 3, 2020 to February 28, 2020 and decreased by an additional 18.16% from March 2, 2020 to March 17, 2020.

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Dr. Scott Hakala has extensive practical knowledge of finance, economics, statistics, and business valuation theory. His expertise includes: corporate finance, restructuring and cost of capital; the valuation of securities and business interests (transactions, mergers, acquisitions, fairness opinions); the valuation of intangible assets (patents, trademarks); analysis of publicly traded securities (insider trading studies, trading analyses, event analyses, materiality, damages in securities litigation); expert testimony and economic loss analyses (commercial litigation); wage and compensation determination (reasonable compensation studies, lost personal income, wrongful termination); transfer pricing; derivative securities (options pricing and valuation); and antitrust and industry structure, strategic pricing, marketing and cost allocation analyses.

 

The information presented here is not nor should it be treated as investment, financial, or tax advice and is not intended to be used to make investment decisions.

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Economic Overview – Third Quarter 2019

U.S. Economic Report – September 30, 2019

During the second quarter of 2019, the U.S. economy grew at an annual rate of 2.0% over the prior quarter.  Household spending has been a primary driver of growth, and the economy continues to perform strongly despite slowing global growth and headwinds from trade disputes.

Overview of the U.S. Economy

According to the third estimate released by the Bureau of Economic Analysis (BEA), the U.S. economy grew in the second quarter of 2019, with real gross domestic product (GDP) increasing at an annual rate of 2.0%, following a first quarter increase of 3.1%.  The increase in real GDP in the second quarter reflected positive contributions from PCE, federal government spending, and state and local government spending that were partly offset by the negative effects from private inventory investment, exports, nonresidential fixed investment, and residential fixed investment [1].  This brings the US economy its twenty-first consecutive quarter with positive GDP growth.  For comparison, the longest streak of consecutive quarters is thirty-nine, which occurred between 1991 and 2001.

Economic Overview Third Quarter 2019

Forecasters surveyed by the Federal Reserve Bank of Philadelphia predicted, on average, a 1.8% annual real growth rate for the third quarter of 2019 and 2.0% for the fourth quarter of 2019.  The forecasters predicted, on average, that real GDP will grow 2.3% in 2019, 1.9% in 2020, 2.0% in 2021, and 2.1% in 2022.  The forecast for 2021 was higher than previous estimates, while the forecasts for 2019, 2020, and 2022 were revised downward from previous estimates [2].

Population

Population growth is an important driver of long-term growth in an economy.  The total population increased from 327.7 million in August 2018 to 329.7 million in August 2019 [3].  The working age population (15-64) declined slightly from 206.6 million in August 2018 to 206.2 million in August 2019 [4].

Economic Overview - Third Quarter 2019

The labor force participation rate has hardly budged in recent years and remains lower than pre-2008 levels.  In August 2019, the civilian labor force participation rate was 63.2% [5].  The minimum participation rate in the past decade was 62.4%, recorded in September 2015, while the maximum of 66.4% was recorded in December 2006.  This is at least partially explained by the aging population but could be evidence of slack in the labor market.

Economic Overview - Third Quarter 2019

Employment

Nonfarm payroll employment, according to the Bureau of Labor Statistics (BLS), rose by 130,000 in August 2019.  The unemployment rate (U3) in August 2019 remained at 3.7%.  This is at the bottom end of the Federal Open Market Committee (FOMC) participants’ projections of the long-run natural rate of unemployment, which range from 3.6% to 4.5%.  The BLS reported job gains in federal government, health care, and financial activities [6].

Forecasters surveyed by the Federal Reserve Bank of Philadelphia predicted, on average, that the unemployment rate will be 3.7% in 2019, 3.6% in 2020, 3.9% in 2021, and 4.0% in 2022 [7].

The U6 unemployment rate, which includes all marginally attached workers and those employed part-time for economic reasons, declined from 7.4% in August 2018 to 7.2% in August 2019 [8].  The gap between U3 and U6 has declined from the 10-year high of 7.4% in September 2011 to 3.5% in August 2019.

Economic Overview - Third Quarter 2019

The average number of weeks unemployed has declined to near pre-2008 levels and has decreased over the past twelve months, from 22.6 weeks in August 2018 to 22.1 in August 2019 [9].  This is far below the 10-year high of 40.7 weeks in July 2011 and slightly above the low of 16.5 weeks in March 2008.  The number of jobless claims increased slightly, from 214,750 in August 2018 to 215,600 in August 2019 [10].

Economic Overview - Third Quarter 2019

Inflation

According to the BLS, the Consumer Price Index for All Urban Consumers (CPI-U) increased 0.1% in August 2019 on a seasonally adjusted basis.  Over the previous 12 months, the all-items index increased 1.7% before seasonal adjustment [11].  The index for all items less food and energy rose 2.4% for the twelve-month period ending August 2019.  The energy index fell 4.4% over the last year, while the food index increased 1.7%.  The price pressures measure estimates the probability that the personal consumption expenditures price index inflation rate will exceed 2.5% over the next twelve months.  This price pressures measure reported a probability of 2.2% in August 2019, which is below the average of 8.2% over the past two years [12].

Economic Overview - Third Quarter 2019

Forecasters surveyed by the Federal Reserve Bank of Philadelphia predicted, on average, headline CPI inflation to be 1.9% in 2019, 2.0% in 2020, and 2.2% in 2021.  Over the next ten years, forecasters expect CPI inflation to average 2.20% annually [13].

Interest Rates

The interest rate on the three-month Treasury bill decreased from 2.15% as of September 28, 2018 to 1.84% as of September 30, 2019 [14].  The interest rate on the ten-year Treasury note decreased from 3.05% to 1.68% over the same period [15].

Economic Overview - Third Quarter 2019

On September 18, 2019, the Federal Open Market Committee (FOMC) announced their decision to lower the federal funds target range to 1.75 – 2.00%.  The following charts display projections from FOMC participants of the midpoint of the federal funds target range at the end of each calendar year [16].

Economic Overview - Third Quarter 2019

The following table represents the market’s reactions leading up to and following the FOMC meeting.

Economic Overview - Third Quarter 2019

As of September 30, 2019, the yields on Moody’s Aaa-rated corporate bonds and Baa-rated corporate bonds were 3.01% and 3.88%, respectively [17].

The spread between the twenty-year Treasury Bond and the one-year Treasury Bill declined from 0.54% as of September 28, 2018 to 0.19% as of September 30, 2019 [18].  A combination of increasing short-term interest rates from federal funds rate hikes and tempered long-term growth expectations have caused the yield curve to flatten in recent years [19].  The spread between long- and short-maturity Treasury securities have long been used as a predictive measure for future economic performance.  A recent paper from the Federal Reserve showed that the probability of a near-term recession has increased in recent years.  However, when additional information was incorporated into their model, such as the excess bond premium, the component of corporate bond spreads in excess of an estimate of the compensation for expected default losses, the recession probability was significantly lower [20].

Economic Overview - Third Quarter 2019

Corporate Profits

According to the BEA, profits from current production (corporate profits with inventory valuation and capital consumption adjustments) increased $75.8 billion in the first quarter of 2019 over the first quarter, compared to a decrease of $78.7 billion in the first quarter of 2019 over the fourth quarter of 2018 [21].

Economic Overview - Third Quarter 2019

Stock Markets

The S&P 500 Total Return Index closed at 5,144.1 on September 28, 2018 and closed higher at 5,330.3 on September 30, 2019.  This corresponds to an annual return of 3.6%.  The Dow Jones Industrial Average Total Return Index closed at 58,028.5 on September 28, 2018 and closed higher at 60,471.5 on September 30, 2019.  This corresponds to an annual return of 4.2%.  The NASDAQ Composite Total Return Index closed at 9,322.1 on September 28, 2018 and closed higher at 9,370.9 on September 30, 2019 [22, 23].  This corresponds to an annual return of 0.5%.  In the graph below, the September 28, 2018 values were set to 100. 

Economic Overview - Third Quarter 2019

Construction & Housing Starts

Construction spending and housing starts are two other important indicators for the economy.  Construction spending may indicate the sentiment in real estate markets and the soundness of the economy while housing starts are an alternative indicator of consumer sentiment.  Increases in demand for newly constructed homes can lead to job growth in the construction industry, increased demand for appliances and furniture, and ripple effects throughout the economy.  Housing starts increased from 1.279 million units in August 2018 to 1.364 million units in August 2019 [24].  Construction spending, a seasonally adjusted annual figure, decreased from $1.312 trillion in August 2018 to $1.287 trillion in August 2019 [25].

Economic Overview - Third Quarter 2019

Consumer Confidence

The Conference Board reported that the Consumer Confidence Index declined in September 2019 to 125.1 from 134.2 in August [26].  The index is based on a survey of consumer perceptions of present economic conditions and expectations of future conditions.  The survey is based on a representative sample of 5,000 U.S. households and is considered a leading indicator of future consumer expenditures and economic activity.

The University of Michigan Survey of Consumers reported that the Index of Consumer Sentiment decreased in August 2019 to 89.8, down from 98.4 in July 2019 and 96.2 in August 2018 [27].  The index is based on a survey of consumer perceptions of present economic conditions and expectations of future conditions.  The survey is based on a sample of 500 phone interviews consisting of 50 core questions conducted across the continental U.S.  This is considered a leading indicator of future consumer expenditures and economic activity.

Economic Overview - Third Quarter 2019

In September, the survey focused on the variation in consumer sentiment based on political party affiliation.  The survey results are presented in the following table.

Economic Overview - Third Quarter 2019

Conclusion

In conclusion, the economy performed well in the second quarter of 2019; however, it has shown signs of slowing down.  Economic growth has slowed, and many economists have revised growth expectations downward.  The yield curve remains inverted, with the 10-year Treasury bond falling below the 3-month Treasury bill.  Every recession since the 1960s has been preceded by an inversion of the Treasury yield curve.  Inflation has been modest, and the labor market remains tight with the unemployment rate hovering around the FOMC participants’ projection of the natural rate of unemployment.  Equity markets have rebounded from a dip at the beginning of August 2019.  Consumer sentiment remains optimistic with a wide divergence based on the individual’s political party.

Federal Reserve Chairman Jerome Powell recounted his thoughts on the economy’s performance at post-meeting press conference on September 18, 2019:

The U.S. economy has continued to perform well.  We are into the 11th year of this economic expansion, and the baseline outlook remains favorable. The economy grew at a 2½ percent pace in the first half of the year.  Household spending—supported by a strong job market, rising incomes, and solid consumer confidence—has been the key driver of growth.  In contrast, business investment and exports have weakened amid falling manufacturing output.  The main reasons appear to be slower growth abroad and trade policy developments—two sources of uncertainty that we’ve been monitoring all year.

The following table displays a summary of the economic indicators, their performance over the past year, and whether this is viewed as a positive or negative sign for the economy at large.  The leading, lagging, and coincident indices were obtained from The Conference Board and were measured as of August 2019 [28].

Economic Overview - Third Quarter 2019

[1]      U.S. Department of Commerce, Bureau of Economic Analysis, Gross Domestic Product: Second Quarter 2019 (Third Estimate), September 26, 2019

[2]      Federal Reserve Bank of Philadelphia, Third Quarter 2019 Survey of Professional Forecasters, August 9, 2019

[3]      U.S. Bureau of Economic Analysis, Population [POPTHM], retrieved from FRED, Federal Reserve Bank of St. Louis, October 10, 2019

[4]      Organization for Economic Co-operation and Development, Working Age Population: Aged 15-64: All Persons for the United States [LFWA64TTUSM647N], retrieved from FRED, Federal Reserve Bank of St. Louis, October 10, 2019

[5]      U.S. Bureau of Labor Statistics, Civilian Labor Force Participation Rate [CIVPART], retrieved from FRED, Federal Reserve Bank of St. Louis, October 10, 2019

[6]      United States Department of Labor, Bureau of Labor Statistics, The Employment Situation: August 2019, September 6, 2019

[7]      Federal Reserve Bank of Philadelphia, Third Quarter 2019 Survey of Professional Forecasters, August 9, 2019

[8]      U.S. Bureau of Labor Statistics, Total unemployed, plus all marginally attached workers plus total employed part time for economic reasons [U6RATE], Civilian Unemployment Rate [UNRATE], retrieved from FRED, Federal Reserve Bank of St. Louis, last accessed October 10, 2019

[9]      U.S. Bureau of Labor Statistics, Average (Mean) Duration of Unemployment [UEMPMEAN], retrieved from FRED, Federal Reserve Bank of St. Louis, October 10, 2019

[10]      U.S. Employment and Training Administration, Initial Claims [ICSA], retrieved from FRED, Federal Reserve Bank of St. Louis, October 10, 2019

[11]      United States Department of Labor, Bureau of Labor Statistics, Consumer Price Index: August 2019, September 12, 2019

[12]      Federal Reserve Bank of St. Louis, Price Pressures Measure [STLPPM], retrieved from FRED, Federal Reserve Bank of St. Louis, October 10, 2019

[13]      Federal Reserve Bank of Philadelphia, Third Quarter 2019 Survey of Professional Forecasters, August 9, 2019

[14]      Board of Governors Federal Reserve System, 3-Month Treasury Bill: Secondary Market Rate [DTB3MS], retrieved from FRED, Federal Reserve Bank of St. Louis, last accessed October 10, 2019

[15]      Board of Governors Federal Reserve System, 10-Year Treasury Constant Maturity Rate [DGS10], retrieved from FRED, Federal Reserve Bank of St. Louis, last accessed October 10, 2019

[16]      Federal Open Market Committee, Summary of Economic Projections, September 18, 2019

[17]      Moody’s, Moody’s Seasoned Aaa Corporate Bond Yield© [DAAA], Moody’s Seasoned Baa Corporate Bond Yield© [DBAA], retrieved from FRED, Federal Reserve Bank of St. Louis, last accessed October 10, 2019

[18]      U.S. Department of the Treasury, Daily Treasury Yield Curve Rates, last accessed October 10, 2019

[19]      Johansson, Peter, and Andrew Meldrum (2018). “Predicting Recession Probabilities Using the Slope of the Yield Curve,” FEDS Notes. Washington: Board of Governors of the Federal Reserve System, March 1, 2018, https://doi.org/10.17016/2380-7172.2146.

[20]      Gilchrist, S., and E. Zakrajšek (2012), “Credit Spreads and Business Cycle Fluctuations,” American Economic Review 102(4), pp. 1692-1720.

[21]      U.S. Department of Commerce, Bureau of Economic Analysis, Corporate Profits: Second Quarter 2019, September 26, 2019

[22]      Total return indices include returns from both income and capital gains

[23]       S&P Capital IQ Database, last accessed October 10, 2019

[24]      U.S. Census Bureau and U.S. Department of Housing and Urban Development, Housing Starts, New Privately-Owned Housing Units Started [HOUST], retrieved from FRED, Federal Reserve Bank of St. Louis, last accessed October 10, 2019

[25]      U.S. Census Bureau, Total Construction Spending, Seasonally Adjusted Annual Rate [TTLCONS], retrieved from FRED, Federal Reserve Bank of St. Louis, last accessed October 10, 2019

[26]      The Conference Board, Consumer Confidence Index, September 24, 2019

[27]      University of Michigan, Surveys of Consumers, September 2019

[28]      The Conference Board, The Conference Board Leading Economic Index® (LEI) for the U.S. Remained Unchanged in August, September 19, 2019

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A Review of the Risk Premium Method for Regulated Electric Utility ROEs

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A Review of the Risk Premium Method for Regulated Electric Utility ROEs

Energy ROE

In utility financial economics, the cost of capital, or rate of return, is the cost of an electric utility’s invested funds, both debt and equity. The cost of equity capital is the rate of return that common shareholders require on their investment, commensurate with the risks they assume and the expected returns from other similar investments (opportunity cost). In the regulatory process, the principles established in the US Supreme Court Bluefield1 and Hope2 decisions guide most state regulatory commissions in establishing returns. In particular, the Bluefield decision noted:

A public utility is entitled to such rates as will permit it to earn a return on the value of the property which it employs for the convenience of the public equal to that generally being made at the same time and in the same general part of the country on investments in other business undertakings which are attended by corresponding risks and uncertainties; but it has no constitutional right to profits such as are realized or anticipated in highly profitable enterprises or speculative ventures.

From both the investor and company point of view, it is important that there be enough revenue not only for covering operating expenses, but also to pay a return on bondholders and stockholders providing the capital for the utility to invest. These funds are required to service debt and pay dividends on equity (common and preferred stock and retained earnings).

From both the investor and company point of view, it is important that there be enough revenue not only for covering operating expenses, but also for the capital costs of a regulated utility.

By that standard, the return to the equity owner should be commensurate with returns on investments in other enterprises having corresponding risks. That return, moreover, should be sufficient to assure confidence in the financial integrity of the enterprise, so as to maintain its credit rating and to continue to attract capital.3 A long-term comparison of the rates of return on different sources of capital is shown in the Capital Market Line Figure 1, with data calculated by Morningstar. As shown, the data plots the realized rates of return from different investments versus their risk, as measured by the standard deviation of their returns. The resulting line demonstrates the relationship and positive correlation between risk and rates of return; investors require higher rates of return for an investment with more risk.

The return to the equity owner should be commensurate with returns on investments in other enterprises having corresponding risks. That return, moreover, should be sufficient to assure confidence in the financial integrity of the enterprise, so as to maintain its credit rating and to continue to attract capital.

Energy Roe

THE ISSUE AT HAND

The Risk Premium Methodology, or analysis, is based on a comparison of allowed rates of return on equity from decided rate cases, as compared to various sources of debt capital and their corresponding costs. Like the Capital Asset Pricing Model, the risk premium methodology is an example of a build-up approach used to estimate a utility’s ROE. The cost of equity for a regulated utility (or any company) is composed of the following components:

The real rate of return
+ Inflationary return
+ Industry risk/return
+ Company-specific risk/return
+Other risks

Return on equity (ROE)

The examples in Figure 2 compare authorized ROEs of electric companies to long-term utility debt rates, between 2000 and 2018. As shown, the authorized rates of return on equity from various commissions are summarized into a quarterly authorized ROE on the vertical axis and are compared against the cost of utility debt (represented by Moody’s Utility BAA yield (“Triple B”) on the horizontal axis of the graph. In the lower right corner of the graph, the regression calculation is shown as a reference for all of the figures in this article. The first item of interest is that with a slope of approximately 35 percent, a utility’s allowed rate of return moves up and down at a slower pace as compared to changes in interest rates/debt costs.

Energy Roe

Although the data above illustrates the correlation between authorized equity rates of return and the cost of debt, it ignores “regulatory lag.” Regulatory lag reflects the fact that a utility will file a rate case at a certain point in time but will not receive a final decision, with an allowed rate of return, for a period of time, approximately one year. Therefore, it is more appropriate to compare the authorized ROEs from commission decisions with interest rates as of one year prior.

ANALYSES OF AUTHORIZED RATES OF RETURN AND INTEREST RATES

In Figure 3, the timing has been shifted to compare authorized rates of return with debt costs from one year prior.

Energy Roe

Regulatory lag reflects the fact that a utility will file a rate case at a certain point in time but will not receive a final decision, with an allowed rate of return, for a period of time, approximately one year.

Making this change to the “regulatory lag” timing assumed improves the coefficient of variability, or R-squared, of the analysis. In a “perfect world,” the R-squared from the analysis would be 1.0, indicating that 100 percent of the changes in authorized ROEs are due to changes in interest rates, but many other financial and economic risk factors exist. Considering the build-up approach mentioned earlier, a risk premium approach based on authorized rates of equity returns and utility debt costs would address the following return components:

A Review Of The Risk Premium Method For Regulated Electric Utility Roes

RETURN ON EQUITY

Another debt index to consider is the cost of long-term US Treasury Bonds with a maturity of 30 years.4

Figure 4 is similar to the one based on Moody’s utility bonds, but it is “higher,” meaning it has a y-intercept that is 1.2 percent higher to account for the risk differential between risk-free Treasury bonds and a Triple- B utility bond index. The following are the build-up components for this analysis:

A Review Of The Risk Premium Method For Regulated Electric Utility Roes

Energy Roe

Although Figure 5 could be used to simply look up an implied ROE for a certain level of interest rates, some additional precision, and better correlation, can be gained by calculating the implied “premium” (the amount the authorized ROE exceeds the cost of debt) for each quarter and comparing that to debt costs 12 months prior. While the downward slope may look odd at first, recall that this is the equity premium, which is added to the cost of debt, to determine an implied return on equity. The downward slope reflects that as interest rates increase, the corresponding authorized returns on equity also increase, but at a lower rate.

A Review Of The Risk Premium Method For Regulated Electric Utility Roes

A similar relationship is seen in the comparison of authorized rates of returns and utility bond yields in Figure 6:

A Review Of The Risk Premium Method For Regulated Electric Utility Roes

INDICATED UTILITY ROES

Combining the two methodologies above with current interest rates, these models suggest an equity rate of return in the range of 9.7 percent to 9.9 percent. As previously discussed, the risk premium approach is one of the methodologies considered to determine a fair return on equity for regulated utilities. However, it is important to note that this methodology has relative strengths and weaknesses, like all simplified financial models taught in academia. The risk premium analysis does a reasonable job of capturing real interest rates, inflation, and industry risk factors. However, to determine a credible conclusion for a fair ROE, more analysis is required.

A Review Of The Risk Premium Method For Regulated Electric Utility Roes

As illustrated in Figure 7, most of the data points lie within an approximate 125- basis point (1.25 percent) range around the trend-line indication. For public utility companies, these risks would be expected to reflect company-specific risk factors from their geographical concentration, state and federal regulation, and potential mergers and acquisitions, among other risk factors. For a utility that is not public nor owned by a public holding company, additional risk factors not reflected earlier would also need to be considered. The common stock of smaller private utilities is considered to be a riskier investment than a public utility’s stock, commanding higher returns from investors. Some of the key factors affecting this are a small utility’s lack of liquidity, less access to competitive debt financing, and geographical concentration, as well as company-specific factors such as aging infrastructure or litigation risk.

CONCLUSION

In summary, the risk premium methods discussed earlier provide a reasonable starting point for a utility’s ROE, but other risk factors and other financial models must be considered in concluding a fair return on equity for a utility. The analyses shown earlier provide another insight into what investors expect and what commissions authorize for allowed returns. Like all financial approaches to estimating an appropriate rate of return, however, this data and analyses are best considered in addition to other financial models.

1. Bluefield Waterworks & Improvement Company v. Public Service Commission of West Virginia, 262 U.S. 679, 692, 693 (1923).

2. Federal Power Commission v. Hope Natural Gas Co., 320 U.S. 591, 603 (1944).

3. Ibid.

4. Although 10-year Treasuries are sometimes referenced, given the long-lived nature of utility assets, the longer-term bonds better match a utility’s underlying assets.

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Brad R. Currey, CEIV, CFA

DIRECTOR – ENERGY PRACTICE LEADER
bcurrey@valuescopeinc.com
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Economic Overview – Fourth Quarter 2018

U.S. Economic Report – December 31, 2018

Economic Overview Fourth Quarter 2018

During the third quarter of 2018, the U.S. economy grew at 3.4% over the prior quarter.  Despite recent turmoil in equities markets, economic indicators point toward continued economic growth.

Overview of the U.S. Economy

According to the third estimate released by the Bureau of Economic Analysis (BEA), the U.S. economy grew in the third quarter of 2018, with real gross domestic product (GDP) increasing at an annual rate of 3.4%, following a second quarter 2018 increase of 4.2%.  The increase in real GDP in the first quarter reflected positive contributions from PCE, private inventory investment, nonresidential fixed investment, federal government spending, and state and local government spending that were partly offset by the negative effects from exports and residential fixed investment.1 This brings the US economy its eighteenth consecutive quarter with positive GDP growth.  For comparison, the longest streak of consecutive quarters is thirty-nine, which occurred between 1991 and 2001. Economic Overview Fourth Quarter 2018.

Economic Overview Fourth Quarter 2018

Forecasters surveyed by the Federal Reserve Bank of Philadelphia predicted, on average, a 2.6% annual real growth rate for the fourth quarter of 2018 and 2.4% for the first quarter of 2019.  The forecasters predicted, on average, that real GDP will grow 2.9% in 2018, 2.7% in 2019, 2.1% in 2020, and 1.7% in 2021.  The forecasts for 2018, 2020, and 2021 are higher than previous estimates, while the forecast for 2019 is lower than previous estimates for the same periods.2

Population

Population growth is an important driver of long-term growth in an economy.  The total population increased from 326.9 million in November 2017 to 329.2 million in November 2018.3  The working age population (15-64) increased from 205.8 million in November 2017 to 206.8 million in November 2018.4

Economic Overview - Fourth Quarter 2018

The labor force participation rate has hardly budged in recent years and remains lower than pre-2008 levels.  In November 2018, the civilian labor force participation rate was 62.9%.5   The minimum participation rate in the past decade was 62.3%, recorded in September 2015, while the maximum of 66.4% was recorded in December 2006.  This is at least partially explained by the aging population but could be evidence of slack in the labor force.

Economic Overview - Fourth Quarter 2018

Employment

Nonfarm payroll employment, according to the Bureau of Labor Statistics (BLS), rose by 155,000 in November 2018.  The unemployment rate (U3) in November 2018 was unchanged at 3.7%.  The BLS reported job gains in health care, manufacturing, and transportation and warehousing.6 This is slightly below the Federal Open Market Committee (FOMC) participants’ projections of the long-run natural rate of unemployment, which have a range of 4.0 to 4.6%.

Forecasters surveyed by the Federal Reserve Bank of Philadelphia predicted, on average, that the unemployment rate will be 3.9% in 2018, 3.7% in 2019, 3.8% in 2020, and 4.0% in 2021.7

The U6 unemployment rate, which includes all marginally attached workers and those employed part-time for economic reasons, has declined from 8.0% in November 2017 to 7.6% in November 2018.  The gap between U3 and U6 has declined from the 10-year high of 7.4% in September 2011 to 3.9% in November 2018.

Economic Overview - Fourth Quarter 2018

The average number of weeks unemployed has declined to near pre-2008 levels, to 21.7 weeks in November 2018, from 25.2 in November 2017.  This is far below the 10-year high of 40.7 weeks in July 2011, and slightly above the 16.5 weeks in March 2008.  The number of jobless claims has also been declining.  For the week ending December 22, the number of seasonally adjusted jobless claims was 216,000, while for the prior year that number was 242,000.8

Economic Overview - Fourth Quarter 2018

Inflation

According to the BLS, inflation, as measured by changes in the Consumer Price Index for All Urban Consumers (CPI-U), was unchanged in November 2018 on a seasonally adjusted basis.  Over the previous 12 months, the all items index increased 2.2% before seasonal adjustment.  The index for all items less food and energy rose 2.2% for the twelve-month period ending November 2018.  The energy index rose 3.1% over the last year, while the food index increased 1.4%.The price pressures measures the probability that the personal consumption expenditures price index inflation rate will exceed 2.5% over the next twelve months.  This price pressures measure reported a probability of 4.9% in December 2018, which is reasonably low relative to the past five years.10

Forecasters surveyed by the Federal Reserve Bank of Philadelphia predicted, on average, headline CPI inflation to be 2.4% in 2018, 2.3% in 2019, and 2.3% in 2020.  Over the next ten years, forecasters expect CPI inflation to average 2.21% annually.11

Economic Overview - Fourth Quarter 2018

Interest Rates

The interest rate on the three-month Treasury bill increased from 1.42% as of January 2, 2018 to 2.40% as of December 31, 2018.12  The interest rate on the ten-year Treasury note increased from 2.46% to 2.69% over the same period.13

Economic Overview - Fourth Quarter 2018

On December 19, 2018 the FOMC announced their decision to increase the federal funds target range from 2.0 – 2.25% to 2.25 – 2.5%.  This increase was anticipated, and the FOMC’s added the following sentence to their official statement:

The Committee judges that risks to the economic outlook are roughly balanced, but will continue to monitor global economic and financial developments and assess their implications for the economic outlook.14

The following charts display projections from FOMC participants of the midpoint of the federal funds target range at the end of each calendar ear, as well as the implied probabilities of the federal funds rate path from federal funds rate futures markets. 15, 16  Most FOMC participants have revised their forecast of the federal funds rate from three rate hikes in 2019 down to two.

Economic Overview - Fourth Quarter 2018

Economic Overview - Fourth Quarter 2018

The following table below represents the market’s reaction during the lead up to and following the FOMC meeting.

Economic Overview - Fourth Quarter 2018

As of December 31, 2018, the yields on Moody’s Aaa-rated corporate bonds and Baa-rated corporate bonds were 3.99% and 5.14%, respectively.17

The spread between the twenty-year and the one-year treasury bills declined from 0.82% as of December 29, 2017 to 0.24% as of December 31, 2018.18  A combination of increasing short-term interest rates from federal funds rate hikes and tempered long-term growth expectations have caused the yield curve to flatten in recent years.  The spread between long- and short-maturity Treasury securities have long been used as a predictive measure for future economic performance.  A recent paper from the Federal Reserve showed that the probability of a near-term recession has increased in recent years.19  However, when additional information was incorporated into their model, such as the excess bond premium,20 the component of corporate bond spreads in excess of an estimate of the compensation for expected default losses, the recession probability was significantly lower.

Economic Overview - Fourth Quarter 2018

Corporate Profits

According to the BEA, profits from current production (corporate profits with inventory valuation and capital consumption adjustments) increased $78.2 billion in the third quarter of 2018 over the second, compared to an increase of $65.0 billion in the second quarter of 2018 over the first.21

Economic Overview - Fourth Quarter 2018

Stock Markets

The S&P 500 Total Return22 Index closed at 4,672.65 on December 29, 2017 and closed lower at 4,441.63 on December 31, 2018.  This corresponds to an annual return of negative 4.9%.  The Dow Jones Industrial Average Total Return Index closed at 53,317.96 on December 29, 2017 and closed lower at 51,462.77 on September 30, 2018.  This corresponds to an annual return of negative 3.5%.  The NASDAQ Composite Total Return Index closed at 7,935.29 on December 29, 2017 and closed lower at 7,709.91 on December 31, 2018.23  This corresponds to an annual return of negative 2.8%.  In the graph below, the December 29, 2017 values were set to 100.  Each of these indices were near their all-time highs in September.

Economic Overview - Fourth Quarter 2018

Construction & Housing Starts

Construction spending and housing starts are two other important indicators for the economy.  Construction spending may indicate the sentiment in real estate markets and the soundness of the economy, while housing starts are an alternative indicator of consumer sentiment.  Increases in demand for newly-constructed homes can lead to job growth in the construction industry, increased demand for appliances and furniture, and can have a ripple effect throughout the economy.  Housing starts decreased from 1,265 thousand units in October 2017 to 1,217 thousand units in October 2018.24  Construction spending, a seasonally adjusted annual rate, increased from $1,247,531 million in October 2017 to $1,308,848 million in October 2018.25

Economic Overview - Fourth Quarter 2018

Consumer Confidence

The Conference Board reported that the Consumer Confidence Index decreased in December 2018 to 128.1, down from 136.4 in November 2018.26 The index is based on a survey of consumer perceptions of present economic conditions and expectations of future conditions.  The survey is based on a representative sample of 5,000 U.S. households and is considered a leading indicator of future consumer expenditures and economic activity.

The University of Michigan Survey of Consumers reported that the Index of Consumer Sentiment increased in December 2018 to 98.3, up from 97.5 in November 2018 and 95.9 in December 2017.27  However, this is lower than the 10-year high in March 2018 of 101.4.  The index is based on a survey of consumer perceptions of present economic conditions and expectations of future conditions.  The survey is based on a sample of 500 phone interviews consisting of 50 core questions are conducted across the continental U.S.  This is considered a leading indicator of future consumer expenditures and economic activity.

According to Surveys of Consumers chief economist, Richard Curtin, consumers reported more negative than positive news regarding job prospects for the first time in two years.  It is possible that the recent stock market performance influenced the results of recent months and remains to be seen if this is indicative of a long-term trend.

Economic Overview - Fourth Quarter 2018

Conclusion

In conclusion, the economy continued to perform well in the third quarter of 2018, which bodes well for the fourth.  Economic growth continued to exceed expectations, inflation has been modest while unemployment remains low, hovering around FOMC participants’ projections of the natural rate of unemployment.  Equities markets, however, have experienced volatility in recent months, erasing the gains seen over the course of 2018.  Consumer and investor sentiment remain optimistic, despite a recent downward tick.  Threats to the economy include potential ramifications from rising tariffs, the impact of the Federal Reserve’s decision to increase the federal funds rate, and a ripple effect from the declines in the stock market.

Federal Reserve Chairman Jerome Powell recounted his thoughts on the economy’s performance at post-meeting press conference on December 19, 2018:

Since September, the U.S. economy has continued to perform well, roughly in line with our expectations.  The economy has been adding jobs at a pace that will continue bringing the unemployment rate down over time. Wages have moved up for workers across a wide range of occupations—a welcome development.  Inflation has remained low and stable and is ending the year a bit more subdued than most had expected.  Although some American families and communities continue to struggle, and some longer-term economic problems remain, the strong economy is benefiting many Americans.

The following table displays a summary of the economic indicators, their performance over the past year, and whether this is viewed as a positive or negative sign for the economy at large.  The leading, lagging, and coincident indices were obtained from The Conference Board.

Economic Overview - Fourth Quarter 2018

[1] U.S. Department of Commerce, Bureau of Economic Analysis, Gross Domestic Product: Third Quarter 2018 (Third Estimate), December 21, 2018

[2] Federal Reserve Bank of Philadelphia, Third Quarter 2018 Survey of Professional Forecasters, August 10, 2018

[3] U.S. Bureau of Economic Analysis, Population [POPTHM], retrieved from FRED, Federal Reserve Bank of St. Louis, January 2, 2018

[4] Organization for Economic Co-operation and Development, Working Age Population: Aged 15-64: All Persons for the United States [LFWA64TTUSM647N], retrieved from FRED, Federal Reserve Bank of St. Louis, January 2, 2018

[5] U.S. Bureau of Labor Statistics, Civilian Labor Force Participation Rate [CIVPART], retrieved from FRED, Federal Reserve Bank of St. Louis

[6] United States Department of Labor, Bureau of Labor Statistics, The Employment Situation: November 2018, December 7, 2018

[7] Federal Reserve Bank of Philadelphia, Fourth Quarter 2018 Survey of Professional Forecasters, November 13, 2018

[8] United States Department of Labor, Bureau of Labor Statistics, Unemployment Insurance Weekly Claims, December 27, 2018

[9] United States Department of Labor, Bureau of Labor Statistics, Consumer Price Index: November 2018, December 12, 2018

[10] Federal Reserve Bank of St. Louis, Federal Reserve Economic Data, Series: STLPPM, Price Pressures Measure, last accessed January 3, 2019

[11] Federal Reserve Bank of Philadelphia, Fourth Quarter 2018 Survey of Professional Forecasters, November 13, 2018

[12] Federal Reserve Bank of St. Louis, Federal Reserve Economic Data, Series: DTB3MS, 3-Month Treasury Bill: Secondary Market Rate, last accessed January 3, 2019

[13] Federal Reserve Bank of St. Louis, Federal Reserve Economic Data, Series: DGS10, 10-Year Treasury Constant Maturity Rate, last accessed January 3, 2019

[14] Wall Street Journal, Fed Statement Tracker, https://projects.wsj.com/fed-statement-tracker-embed/

[15] Federal Open Market Committee, Summary of Economic Projections, December 19, 2018

[16] Federal Reserve Bank of Atlanta, Market Probability Tracker, last accessed January 3, 2019

[17] Federal Reserve Bank of St. Louis, Federal Reserve Economic Data, Series: DAAA, Moody’s Seasoned Aaa Corporate Bond Yield©, Series: DBAA, Moody’s Seasoned Baa Corporate Bond Yield©, last accessed January 3, 2018

[18] U.S. Department of the Treasury, Daily Treasury Yield Curve Rates, last accessed January 3, 2018

[19] Johansson, Peter, and Andrew Meldrum (2018). “Predicting Recession Probabilities Using the Slope of the Yield Curve,” FEDS Notes. Washington: Board of Governors of the Federal Reserve System, March 1, 2018, https://doi.org/10.17016/2380-7172.2146.

[20] Gilchrist, S., and E. Zakrajšek (2012), “Credit Spreads and Business Cycle Fluctuations,” American Economic Review 102(4), pp. 1692-1720.

[21] U.S. Department of Commerce, Bureau of Economic Analysis, Corporate Profits: Third Quarter 2018, December 21, 2018

[22] Total return indices include returns from both income and capital gains

[23] S&P Capital IQ Database, last accessed January 3, 2019

[24] Federal Reserve Bank of St. Louis, Federal Reserve Economic Data, Series: HOUST, Housing Starts, last accessed January 3, 2019

[25] Federal Reserve Bank of St. Louis, Federal Reserve Economic Data, Series: TTLCONS, Total Construction Spending, Seasonally Adjusted Annual Rate, last accessed January 3, 2019

[26] The Conference Board, Consumer Confidence Index, December 27, 2018

[27] University of Michigan, Surveys of Consumers, December 2018

[28] The Conference Board, The Conference Board Leading Economic Index® (LEI) for the U.S. Increased Slightly in November, December 20, 2018

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Marty Hanan is the founder and President of ValueScope, Inc., a valuation and financial advisory firm that specializes in valuing assets and businesses and in helping business owners in business transactions and estate planning.  Mr. Hanan is a Chartered Financial Analyst and has a B.S. Electrical Engineering from the University of Illinois and an MBA from Loyola University of Chicago.

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