A Synthesis of Equity Valuation Techniques and the Terminal Value Calculation for the Dividend Discount Model

This paper lays out alternative equity valuation models that involve forecasting for finite periods and shows how they are related to each other. It contrasts dividend discounting models, discounted cash flow models, and residual income models based on accrual accounting. It shows that some models that are apparently different yield the same valuation. It gives the general form of the terminal value calculation in these models and shows how this calculation serves to correct errors in the model. It also shows that all models can be interpreted as providing a particular specification of the terminal value for the dividend discount model. In so doing it shows how one calculates the terminal value for the dividend discount formula. The calculation involves weighting forecasted stocks and flows of value with weights determined by a parameter that can be discovered from pro forma analysis.     

Financial Forecasting,Risk and Valuation: Accounting for the Future

Valuation involves forecasting payoffs and discounting expected payoffs for risk. Forecasting is often seen as the province of the statistician, risk determination the province of asset pricing. This paper elaborates on the idea that financial forecasting, risk determination and valuation are a matter of accounting. Accounting not only provides information to forecast payoffs but also specifies the payoffs to be forecasted. Further, accounting determines the transition from the present to the future and thus implicitly the evolutionary parameters that a statistician might estimate for forecasting. Accounting also bears on risk determination in the way it handles uncertainty. Accordingly, accounting is involved in both the numerator and the denominator of a valuation model. Indeed, a valuation model is a model of accounting for the future, and the effectiveness of a valuation model rides on the accounting principles employed.     

Financial Turbulence and the Japanese Main Bank Relationship

Under the Japanese main bank relationship, a bank holds equity in a firm and plays a leading role in its decision-making and financing. This may leave a firm dependent on its main bank for financing due to its information advantage over other potential lenders. This dependency may be particularly severe during episodes of financial turbulence. We examine the sensitivity of returns on portfolios of Japanese firm equity to the returns of their main banks using a three-factor arbitrage-pricing model. We find no significant dependence when coefficient values are held constant over the entire sample. However, the data strongly suggest a structural break in the relationship subsequent to the last quarter of 1997, a turbulent period for Japanese financial markets. When a structural break is introduced, main bank sensitivity increases after the break, usually to significantly positive levels.     

The effect of early resolution of uncertainty on the valuation of assets: A dichotomy into market and non-market information

We reconsider how the temporal resolution of uncertainty about the future payoffs from capital assets affects the initial valuation of these assets. Our results regarding valuation indicate that, in an intertemporal CAPM framework, the early resolution of market uncertainty leads to an increase in the value of the market portfolio. The values of individual assets change in direct proportion to their betas. We reconcile the differing conclusions of Ross (1989) and Epstein and Turnbull (1980) regarding the early resolution of what they term idiosyncratic and asset specific information respectively.     

Heterogeneity in Financial Market Participation: Appraising its Implications for the C-CAPM

This paper presents empirical evidence that accounting for heterogeneity in financial market participation is important for evaluating the empirical performance of the Consumption-based Capital Asset Pricing Model (C-CAPM). Using the US Consumer Expenditure Survey as a common testing ground, I re-assess three well-known characterizations of the equity premium puzzle (i) the inconsistency of the representative agent's IMRS with Hansen and Jagannathan bounds; (ii) Mehra and Prescott's calibration of a large representative agent's risk aversion; (iii) Hansen and the Singleton's large structural estimates of the preference parameters based on aggregate data. In all three cases, the estimates of risk aversion conditional upon financial market participation are not as far from reasonable values as the corresponding unconditional ones. The differences suggest that part of the equity premium puzzle can be accounted for by the use of a representative agent assumption rather than a more appropriate "representative stockholding agent assumption.     

Enhancement of value investing strategies based on financial statement variables: the German evidence

This paper examines the added-value of combining traditional valuation ratios with each other as well as with some financial statement variables in the German stock markets during the 2000–2015 period. The results show that combination pays off and, moreover, that the benefits of combination are greater in Germany than in most other developed stock markets. Particularly, we find strong evidence of the added-value of using Piotroski’s F-score as a supplementary selection criterion for value stocks as well as for low-accrual stocks. Our results show further that the F-score also boosts the efficacy of other valuation ratios besides the book-to-price ratio. In addition, the inclusion of F-score besides a relative value measure tends to increase the average market equity of portfolio firms. The decomposition of the full-sample-period performance into separate bull- and bear-period performance shows clearly that the better performance of F-score-boosted portfolios is mostly attributable to their outperformance during bearish periods, even though on average, they also generate higher bull-period returns than the comparable value portfolios formed without F-score. The use of F-score as a supplementary criterion also increases the proportion of stocks that earn above-market-average returns during the subsequent holding period. For the first time in the financial literature, we also document a strong relationship between high F-score stocks and momentum stocks.     

Supervisor and Market Analysts: What Should Research be Seeking?

This article is primarily directed towards examining the desirability of incorporating market signals in the process of supervision of commercial banks by regulators and insurers. But the ideas developed here can also be applied to the general problem of using market information to assess the solvency and safety of any financial or non-financial institution.Market prices and yields of securities anticipate actions by regulators, central banks, and other players due to the fact that such actions may materially influence the risk and the expected return associated with investment decisions pertaining to those securities. It is well known that the yield curve of government securities such as T-bills, T-notes and T-bonds reflect the market's consensus regarding the actions that the Federal reserve may take as they pertain to the valuation of such securities. The extent to which the market has already discounted the future actions of the central bank will no doubt play a role in the way in which the central bank may think about its actions, its actual effect and how it relates to its intended effects.The extent to which market prices can provide useful guides depends on the underlying market structure and the practices in the industry.While markets may do lot of the hard work in aggregating and incorporating future actions, the task of supervision and regulation can never be put on automatic pilot. Ideally, supervisory policies should effectively combine the market signals with initiatives that serve to maintain the safety and the soundness of the underlying markets. I will begin by exploring the extent to which equity prices may be used as a signal of bank credit risk. I will then explore the advantages and disadvantages of using subordinated debt securities to derive a market signal.     

Two Different Ways of Treating Corporate Cash in FCF Valuations—and the Importance of Getting the Cost of Capital Right

The methods for calculating free cash flow presented in texts on financial statement analysis and valuation appear to be very different from those in corporate finance texts, causing some confusion among academics as well as practitioners. Financial statement analysis and valuation texts generally begin by valuing just the enterprise operations—that is, the entity that engages in the firm's primary revenue‐generating activities—and then adding back the value of its cash holdings and other financial assets. The corporate finance approach is typically to value all the assets together, including financial assets that are not used in the production of the goods and services provided by the firm. Using a simple example, the authors show that the valuation of the equity ownership of the firm should be the same for both methods of calculating free cash flow, provided the analyst makes the appropriate adjustments to the method for calculating the cost of capital (WACC) used to discount forecasted free cash flows to a present value.     

On Transitory Earnings

The paper develops a concept of transitory earnings and contrasts this source of earnings to core (or recurring) earnings. It is shown that any two of the following three attributes of transitory earnings imply the third: (i) forecasting irrelevance with respect to next-period aggregate earnings, (ii) value irrelevance, and (iii) unpredictability. The paper makes the case that the current dirty surplus items make sense, especially if one expands the valuation perspective to also allow for agency considerations.     

A Rude Awakening: Internet Shakeout in 2000

This study explores various value-drivers of business-to-consumer (B2C) Internet companies' share prices both before and after the market correction in the spring of 2000. Although many market observers had predicted that the shakeout would eventually occur (e.g., Perkins and Perkins 1999), the ultimate and previously unanswered challenge lay identifying which stocks would fall and which ones would survive the shakeout. We develop an empirical valuation model and provide evidence that the Internet stocks that this model suggests were relatively over-valued prior to the Internet stock market correction experienced relatively larger drops in their price-to-sales ratios when the shakeout occurred. This result is robust to the inclusion of competing explanatory variables suggested by the economics literature related to industry rationalizations.We examine the ability of a valuation model comprised of both financial (accounting) variables and nonfinancial web traffic metrics to explain Internet companies' market values during each of 1999 and 2000. Our findings suggest that the reach and stickiness web traffic performance measures are value-relevant to the share prices of Internet companies in each of 1999 and 2000. Our findings of significance for the year 2000 contradict the recent claims of some analysts that web traffic measures are no longer important. We also explore the valuation role of our proxy for B2C companies' current rate of cash burn and find that this proxy is a significant value-driver in each of 1999 and 2000, but with differential valuation implications for each period. Our results suggest that the market was favorably disposed towards Internet companies' aggressive cash expenditures in 1999, but appeared to adopt a more critical view of Internet companies' cash burn rates in 2000. Our results further suggest that investors adopted a more skeptical attitude towards expenditures on intangible investments as the Internet sector began to mature. We find that investors appear to implicitly capitalize product development (R&D) and advertising expenses (customer acquisition costs) during the earlier period when the market was more optimistic about the prospects of B2C companies. However, only product development costs are implicitly capitalized into value, on average, subsequent to the shakeout in the spring of 2000. Finally, we provide statistical evidence to support the conjecture that different parameter vectors characterize the estimated market valuation models for each of 1999 and 2000. Overall, our study provides a preliminary view of the shakeout and maturation of one of the most important New Economy industries to emerge to date–the Internet.