The Effect of Audit Quality on Earnings Management*

This study examines the relation between audit quality and earnings management. Consistent with prior research, we treat audit quality as a dichotomous variable and assume that Big Six auditors are of higher quality than non-Big Six auditors. Earnings management is captured by discretionary accruals that are estimated using a cross-sectional version of the Jones 1991 model. Prior literature suggests that auditors are more likely to object to management's accounting choices that increase earnings (as opposed to decrease earnings) and that auditors are more likely to be sued when they are associated with financial statements that overstate earnings (as compared to understate earnings). Therefore, we hypothesize that clients of non-Big Six auditors report discretionary accruals that increase income relatively more than the discretionary accruals reported by clients of Big Six auditors. This hypothesis is supported by evidence from a sample of 10,379 Big Six and 2,179 non-Big Six firm years. Specifically, clients of non-Big Six auditors report discretionary accruals that are, on average, 1.5-2.1 percent of total assets higher than the discretionary accruals reported by clients of Big Six auditors. Also, consistent with earnings management, we find that the mean and median of the absolute value of discretionary accruals are greater for firms with non-Big Six auditors. This result also indicates that lower audit quality is associated with more “accounting flexibility”.     

The WACC Fallacy: The Real Effects of Using a Unique Discount Rate

In this paper, we test whether firms properly adjust for risk in their capital budgeting decisions. If managers use a single discount rate within firms, we expect that conglomerates underinvest (overinvest) in relatively safe (risky) divisions. We measure division relative risk as the difference between the division's asset beta and a firm‐wide beta. We establish a robust and significant positive relationship between division‐level investment and division relative risk. Next, we measure the value loss due to this behavior in the context of acquisitions. When the bidder's beta is lower than that of the target, announcement returns are significantly lower.     

Going-Concern Status,Earnings Persistence,and Informativeness of Earnings*

Abstract. Valuation theory recognizes that the relation between earnings innovations and changes in security valuation is increasing in the persistence of the earnings innovations. Analyses in this article reveal that the present value of revisions in expected future benefits is a function of the length of revision horizon, suggesting that earnings persistence is determined, in part, by an entity's going-concern status. These analyses predict an inverse relation between earnings informativeness and an entity's probability of termination. Drawing on a sample of quarterly earnings and returns data from more than 1,500 distinct firms for the period 1981–1990, a statistically significant inverse relation is documented between an entity's probability of termination and the informativeness of earnings—the latter measured as the coefficient from a regression of returns on earnings. Further empirical analyses reveal that this result is a pervasive economic phenomenon not attributable to extreme conditions or other prevailing explanations of earnings informativeness. This inference is robust to variations in research design, including measurement of earnings informativeness and of termination probability and alternative specifications of the relation between returns and earnings. Consequently, the evidence in this article is consistent with a fundamental role for an entity's going-concern status in determining the usefulness of earnings. Résumé. La théorie de l'évaluation reconnaît le fait que la relation entre les nouvelles informations relatives au bénéfice net et les changements dans l'évaluation des titres s'intensifie lorsque persistent lesdites informations. Les analyses réalisées par les auteurs révèlent que la valeur actualisée des rajustements dans les gains futurs espérés dépend de l'horizon du rajustement, ce qui donne à penser que la persistance du bénéfice net est en partie fonction de la continuité de l'exploitation de l'entreprise. Selon ces analyses, le potentiel informatif du bénéfice net devrait être en relation inverse avec la probabilité de fermeture de l'entité. En s'appuyant sur un échantillon de données trimestrielles relatives au bénéfice net et au rendement recueillies auprès de plus de 1500 entreprises distinctes pour la période 1981–1990, les auteurs observent une relation inverse statistiquement significative entre la probabilité de fermeture d'une entité et le potentiel informatif du bénéfice—ce dernier étant mesuré sous forme de coefficient, au moyen d'une régression des rendements sur les bénéfices. D'autres analyses empiriques révèlent que cette conclusion est un phénomène économique répandu qui n'est pas attribuable à des conditions extrêmes ou à d'autres explications prédominantes du potentiel informatif du bénéfice net. Cette inference résiste aux variations dans le plan de recherche, y compris la mesure du potentiel informatif du bénéfice net et de la probabilité de fermeture, et les autres caractéristiques possibles de la relation entre le rendement et le bénéfice. Les résultats obtenus confirment donc que la continuité de l'exploitation joue un rôle fondamental dans la détermination de l'utilité du bénéfice net.     

Biased Auctioneers

We construct a neural network algorithm that generates price predictions for art at auction, relying on both visual and nonvisual object characteristics. We find that higher automated valuations relative to auction house presale estimates are associated with substantially higher price-to-estimate ratios and lower buy-in rates, pointing to estimates' informational inefficiency. The relative contribution of machine learning is higher for artists with less dispersed and lower average prices. Furthermore, we show that auctioneers' prediction errors are persistent both at the artist and at the auction house level, and hence directly predictable themselves using information on past errors.