Implications of Components of Income Excluded from Pro Forma Earnings for Future Profitability and Equity Valuation

Abstract:  This study addresses three research questions relating to total exclusions, special items, and other exclusions. Are each of these pro forma exclusion components forecasting irrelevant? Are each of the exclusion components value irrelevant? Are the valuation multiples on the exclusion components justified by their ability to forecast future profitability as predicted by the Ohlson (1999) model? Findings are generally consistent with the market-inefficiency results presented in Doyle et al. (2003) . Total exclusions are valued negatively by the market despite the prediction that total exclusions will be valued positively. Valuation results also suggest that stocks with positive other exclusions are overpriced.     

Note on the behavior of residual security returns for winner and loser portfolios

Portfolios are formed directly and exclusively upon residual return behavior in the months prior to portfolio formation. The empirical behavior of residual return in the post-formation period is then examined. Based upon the overall time period studied (1932 through 1977), the average residual return is essentially zero in the months subsequent to the portfolio formation. However, systematic (i.e., non-zero) residual behavior is observed in particular years. Moreover, the results suggest the possibility that ‘abnormal’ returns observed after certain events (e.g., earnings announcements) may at least in part reflect more general phenomena associated with being ‘winners’ and ‘losers’ in terms of residual returns in the months previous to the event.     

Reliability and relevance of fair values: private equity investments and investee fundamentals

Review of Accounting Studies - We directly test the reliability and relevance of investee fair values reported by listed private equity funds (LPEs). In our setting, disaggregated fair value...     

Accruals,Cash Flows,and Equity Values

We find, as predicted, that the differential ability of accrual and cash flow components of earnings to help forecast future abnormal earnings and the persistence of the components result in the components having different valuation implications. We base our tests on Ohlson (1999) applied to fourteen industries. We find: (1) Accruals and cash flows aid in forecasting future abnormal earnings incremental to abnormal earnings and equity book value. (2) Accruals and cash flows provide explanatory power for equity market value incremental to equity book value and abnormal earnings. (3) There is evidence that accruals and cash flows valuation coefficients are consistent with the Ohlson model.     

Multivariate Tweedie lifetimes: the impact of dependence

Systematic longevity risk is increasingly relevant for public pension schemes and insurance companies that provide life benefits. In view of this, mortality models should incorporate dependence between lives. However, the independent lifetime assumption is still heavily relied upon in the risk management of life insurance and annuity portfolios. This paper applies a multivariate Tweedie distribution to incorporate dependence, which it induces through a common shock component. Model parameter estimation is developed based on the method of moments and generalized to allow for truncated observations. The estimation procedure is explicitly developed for various important distributions belonging to the Tweedie family, and finally assessed using simulation.     

The Tail Stein's Identity with Applications to Risk Measures

In this article, we examine a generalized version of an identity made famous by Stein, who constructed the so-called Stein's Lemma in the special case of a normal distribution. Other works followed to extend the lemma to the larger class of elliptical distributions. The lemma has had many applications in statistics, finance, insurance, and actuarial science. In an attempt to broaden the application of this generalized identity, we consider the version in the case where we investigate only the tail portion of the distribution of a random variable. Understanding the tails of a distribution is very important in actuarial science and insurance. Our article therefore introduces the concept of the “tail Stein's identity” to the case of any random variable defined on an appropriate probability space with a Lebesgue density function satisfying certain regularity conditions. We also examine this “tail Stein's identity” to the class of discrete distributions. This extended identity allows us to develop recursive formulas for generating tail conditional moments. As examples and illustrations, we consider several classes of distributions including the exponential family, and we apply this result to demonstrate how to generate tail conditional moments. This holds a large promise for applications in risk management.     

The Pricing of Dividends in Equity Valuation

Abstract:   This study uses Ohlson's (1995 and 2001 ) accounting‐based equity valuation model to structure tests of four explanations for the anomalously positive pricing of dividends reported by Rees (1997) and Fama and French (1998) . First, we find that dividends are not simply a proxy for publicly available information that helps predict future abnormal earnings. Second, although dividends act as if they signal managers' private information about future profitability, they remain positively priced for firms with low incentives to signal. Third, dividends do not signal management's willingness to abstain from incurring agency costs. Fourth, however, controlling for one‐year‐ahead realized forecast errors yields a pricing of dividends that is very close to that of dividend displacement. After showing that dividends are not simply a proxy for analysts' misforecasting, we conclude that dividends appear to be positively priced because they are a proxy for the mispricing by investors of current earnings or book equity.