Knowledge that Transforms

We document that earnings acceleration, defined as the quarter-over-quarter change in earnings growth, has significant explanatory power for future excess returns. These excess returns are robust to a wide range of previously documented anomalies and a battery of risk controls. The future return predictability appears to be consistent with investors assuming a seasonal random walk model for quarterly earnings and missing predictable implications of earnings acceleration for future earnings growth. Finally, the excess returns from the basic earnings acceleration strategy can be enhanced further by focusing on profit firms, low earnings volatility firms and on specific patterns of earnings acceleration.

We examine how cultural differences among agents influence the aggregate outcome of a common forecasting task. Using both exogenous shocks to sell-side analyst diversity and panel regression methods, we find that increases in analyst cultural diversity positively affect the quality of the consensus earnings forecast. We further provide evidence on the potential mechanisms underlying this result by showing that cultural diversity is associated with improvements in individual analyst forecasts, greater analyst conference call participation and interaction, and greater diversity in analyst education backgrounds and professional interests. Overall, our results indicate that greater cultural differences among agents producing an aggregate forecast are associated with a higher quality consensus forecast.

We study how friendly boards design the structure of optimal compensation contracts in favor of powerful CEOs. Our study yields unexpected results. First, powerful managers receive higher pay and a contract with a higher pay-performance sensitivity (PPS) if firm performance is low and vice versa. Moreover, we identify conditions where expected pay and expected PPS are both increasing in the friendliness of the board. Second, we show that friendly boards provide managers with higher salaries, more shares, but less options. Third, friendly boards offering contracts with a higher PPS also make more intensive use of relative performance evaluation (RPE). Overall, our results suggest that frequently used indicators of poor (or sound) compensation practices should be interpreted with care. Extending the scope of our model beyond executive pay, we show that powerful managers underinvest in capital but have less incentives to manage earnings.

This study examines how PCAOB international inspections of non-U.S. auditors affect international Merger and Acquisition (M&A) outcomes. We find that clients of inspected auditors are more likely to become acquisition targets after the public disclosure of auditor's inspection report. We also find that deal completion is more likely and deal announcement returns are higher if deals involve targets with auditors for which inspection reports are available. Engagement deficiencies and unremediated quality control deficiencies identified in inspection reports weaken the positive effect of PCAOB oversight on M&A outcomes. Collectively, our results suggest that PCAOB oversight reduces information uncertainty in M&A deals.

This paper reconciles conflicting evidence in prior literature on the relative ability of earnings and cash flows in predicting future cash flows. Further, we investigate the implications of temporal shifts in accrual properties and operating environment for cash flow predictability. Three key insights emerge. First, cash flows consistently outperform earnings in predicting future cash flows. Second, accruals and its components, including those capturing non-articulating events, have incremental (albeit small) predictive ability over cash flows. Third, earnings’ ability to predict future cash flows has increased over the period 1989–2015, due to changes in operating environment rather than accrual properties.

Costello, Down, and Mehta (2020) trace their slider intervention to deviations from the credit line amount recommended by a credit scoring model. The deviations are followed by larger delinquency declines and bigger sales orders, and Costello et al. interpret these results using discretion-based theories. However, incremental deviations are concentrated on newer clients rather than those the lender has accumulated soft information about. Deviations also appear larger for public than private borrowers. My discussion evaluates whether these results align with discretion-based theories, and explores alternative interpretations based on salience and unique aspects of the trade credit setting. Differences in interpretation aside, the evidence is informative about technological advances in commercial lending. I conclude with an overview of several recent advances and discuss the implications for lending research.

We document that corporate financial misconduct has significant consequences for politicians' election outcomes and, in particular, those politicians that serve on U.S. congressional committees with SEC-relevant oversight responsibilities (“SEC-relevant politicians”). These politicians display a 31% greater likelihood of losing a reelection campaign after a local firm faces SEC enforcement for financial misconduct. We also document that SEC-relevant politicians appear to influence the SEC to limit career effects due to the potential consequences from enforcement against local firms. First, the timing of enforcement action announcements around SEC-relevant politicians' elections appears opportunistic. Second, firms in the districts of SEC-relevant politicians are less likely to receive SEC enforcement actions relative to other firms and, when faced with enforcement, receive smaller penalties. Collectively, these results suggest that politicians' career concerns impede the SEC's enforcement efforts.

We propose and validate a new measure of earnings quality based on a hidden Markov model. This measure, termed earnings fidelity, captures how faithful earnings signals are in revealing the true economic state of the firm. We estimate the measure using a Markov chain Monte Carlo procedure in a Bayesian hierarchical framework that accommodates cross-sectional heterogeneity. Earnings fidelity is positively associated with the forward earnings response coefficient. It significantly outperforms existing measures of quality in predicting two external indicators of low-quality accounting: restatements and Securities and Exchange Commission comment letters.

Large net loan charge-offs are frequently associated with large decreases in nonperforming loans and large increases in loan loss provisions, inducing a V-shaped relation between loan loss provisions and nonperforming loan changes. Failure to model the asymmetry attributable to net loan charge-offs can change inferences about the presence of earnings management and the effects of delayed loan loss recognition in prior papers that assumed linearity. Future researchers should either include net loan charge-offs in linear models of loan loss provisions or explicitly model the asymmetry induced by omitting net loan charge-offs.

We investigate whether increased investor demand for financial information arising from higher market uncertainty leads to greater media coverage of earnings announcements. We also investigate whether greater coverage during times of higher uncertainty further destabilizes financial markets because of greater attention-based trading or, alternatively, improves trading and pricing by lowering investor acquisition and interpretation costs. When uncertainty is higher, we find evidence of greater media coverage of earnings announcements and that the greater coverage leads to improvements in investor informedness, information asymmetry, and intraperiod price timeliness, and greater trade by both retail and institutional investors. In contrast to the media serving an expanded role in improving capital markets during more uncertain times, we fail to find that changes in firm-initiated disclosures lead to similar improvements and find that less frequent analyst forecast revisions exacerbate problems in capital markets during earnings announcements.