This paper constructs a model of accrual measurement and tests its implications for the evolution of the book-to-market ratio. The model captures the intuition that book value is untimely or smoothed relative to market value, so that movements in market value have relatively high variance and low predictability, compared with movements in book value. Empirical tests of the model use lagged market value changes to forecast the mean reversion of the book-to-market ratio. This paper complements recent research investigating the role of book-to-market ratios in security analysis. Accounting theorists (e.g., Edwards and Bell [1961] and Feltham and Ohlson [1995]) have long recognized the critical role of book-to-market ratios as predictors of abnormal earnings in earnings-based valuation models. Tests of such valuation models (e.g., Ou and Penman [1993]) confront the practical problem of determining the horizon beyond which abnormal earnings are expected to be zero. The model in this paper implies that this horizon is determined by the remaining useful life of assets, and that the expected path of abnormal earnings over this horizon reflects the pattern of expiration of the useful lives of assets in place.

The use of accounting measures and disclosures in banks’ contracts and regulation suggests that the quality of banks’ financial reporting is central to the efficacy of market discipline and nonmarket mechanisms in limiting banks’ development of debt and risk overhangs in economic good times and in mitigating the adverse consequences of those overhangs for the stability of the financial system in downturns. This essay examines how research on banks’ financial reporting, informed by the financial economics literature on banking, can generate insights about how to enhance the stability of the financial system. We begin with a foundational discussion of how aspects of banks’ accounting and disclosures may affect stability. We then evaluate representative papers in the empirical literature on banks’ financial reporting and stability, pointing out the research design issues that empirical accounting researchers need to confront to develop well‐specified tests able to generate reliably interpretable findings. To this end, we provide examples of settings amenable to addressing these issues. We conclude with considerations for accounting standard setters and financial system policy makers.

William H. Beaver, Stephen G. Ryan, Biases and Lags in Book Value and Their Effects on the Ability of the Book-to-Market Ratio to Predict Book Return on Equity, Journal of Accounting Research, Vol. 38, No. 1 (Spring, 2000), pp. 127-148

Banking, Disclosures, Bank loan portfolio compositions, Market reaction

Financial reporting, Disclosures, Banking, Loan loss allowance

Basu's [“The Conservatism Principle and the Asymmetric Timeliness of Earnings.” Journal of Accounting and Economics 24 (1997): 3–37] measurement of conditional conservatism as the asymmetric timeliness of earnings underlies hundreds of studies. However, many subsequent studies cast doubt on the extent to which Basu's measure captures conditional conservatism versus statistical biases or alternative constructs (collectively, “biases”), thereby questioning the validity of the inferences that empirical researchers draw from analyses using the measure. We modify Basu's measure in four simple ways to remove these biases. Our key modification is the inclusion of interactive controls for return variance, a volatility proxy that captures Patatoukas and Thomas’ [“More Evidence of Bias in Differential Timeliness Estimates of Conditional Conservatism.” The Accounting Review 86 (2011): 1765–1794] return variance effect and various sources of economic optionality and adjustment costs. This inclusion captures volatility‐related effects on both the level of earnings and the sensitivity of earnings to returns, and it allows the magnitudes of these effects to vary with the sign of returns. We conduct validation analyses using placebo‐dependent variables, synthetic returns, and nonconditionally conservative earnings components that show our modified Basu measure is largely free of known biases. We further show that our measure is associated with contracting and other economic variables as predicted by theory. Our findings suggest that researchers can rely on our modified Basu measure to identify the determinants and effects of conditional conservatism.

We examine the real effects of FAS 166 and FAS 167 on banks’ loan‐level mortgage approval and sale decisions. Effective in 2010, these standards tightened the accounting for securitizations and consolidation of securitization entities, respectively, causing banks to recognize an estimated $811 billion of securitized assets on balance sheet. We find that banks that recognize more securitized assets exhibit larger decreases in mortgage approval rates and larger increases in mortgage sale rates. These effects significantly exceed those of banks’ off–balance sheet securitized assets, consistent with our results being driven by the consolidation of securitization entities rather than by securitization per se. We conduct tests that help rule out the financial crisis as an alternative explanation for our results. Further analyses suggest that mechanisms underlying the results include consolidating banks’ reduced regulatory capital adequacy, increased market discipline, and consequent desire not to recognize high‐risk mortgages on balance sheet.

As of November 2016, SEC Regulation (“Reg”) AB II requires issuers of certain types of asset‐backed securities (“ABS”) to disclose the credit‐risk attributes of each asset in the underlying pool, a substantial expansion of prior disclosure requirements. We examine how ABS issuers’ asset‐level disclosures under Reg AB II affect the (e)valuation of ABS by investors and credit rating agencies. Using difference‐in‐differences models that compare affected and unaffected types of ABS, we find that these disclosures improve the ability of initial ABS yields and credit ratings to predict the performance of the underlying assets. These results are concentrated in deals with above‐median risk layering in the underlying assets and complexity in the tranching of credit risk. We further find that asset‐level disclosures are associated with lower yields. Lastly, we provide evidence that most prospective ABS investors download asset‐level information during the price formation period prior to ABS issuance.