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How should we measure bank capital adequacy for triggering Prompt Corrective Action? A (simple) proposal

Journal of Financial Stability 2015 20, 131-143
In this study, we test the predictive power of several alternative measures of bank capital adequacy in identifying U.S. bank failures during the recent crisis period. We find that an unconventional ratio – the non-performing asset coverage ratio (NPACR) – significantly outperforms Basel-based ratios including the Tier 1 ratio, the Total Capital Ratio, and the Leverage ratio – throughout the crisis period. It also outperforms in predicting failures among “well-capitalized” banks (as defined by the current Prompt Corrective Action guidelines). Based on our results, we argue that NPACR outperforms other ratios in at least five aspects: (i) it aligns capital and credit risks – the two primary risks of bank failures – in one measure; (ii) it is easier to calculate than the Tier 1 and Total Capital ratios, as it requires calculation of no complex risk weights; (iii) it allows one to account for various time period and cross-country provisioning rules and regimes, including episodes of regulatory forbearance and cross-country differences; (iv) it removes the incentives of both banks and regulators to mask capital deficiencies by creating/requiring insufficient loan-loss reserves; and (v) it outperforms all other commonly used capital ratios in predicting bank failures. We believe that all the above features of proposed measure promise its effective use in the prompt corrective actions by bank regulators. We also expect that this single and informative measure of bank risk can be efficiently used in empirical banking studies. The results of this study also shed light on regulatory forbearance during the recent banking crisis.

Unsophisticated Arbitrageurs and Market Efficiency: Overreacting to a History of Underreaction?

Journal of Accounting Research 2015 53(1), 175-220
ABSTRACT Prior research has documented that arbitrage activity significantly reduces or eliminates stock market anomalies. However, if anomalies arise due to unsophisticated investors’ behavioral biases, then these same biases can also apply to unsophisticated arbitrageurs and thereby disrupt the arbitrage process. Consistent with a disruption in the arbitrage process for the post‐earnings announcement drift anomaly, I document that the historically positive autocorrelation in firms’ earnings announcement news has become significantly negative for firms with active exchange‐traded options. For these easy‐to‐arbitrage firms, the firms in the highest decile of prior earnings announcement abnormal return (prior earnings surprise), on average, underperform the firms in the lowest decile by 1.59% (1.43%) at their next earnings announcement. Additional analyses are consistent with investors learning about the post‐earnings announcement drift anomaly and overcompensating. This study suggests that unsophisticated attempts to profit from a well‐known anomaly can significantly reverse a previously documented stock return pattern.

Do Competitive Workplaces Deter Female Workers? A Large-Scale Natural Field Experiment on Job Entry Decisions

Review of Economic Studies 2015 82(1), 122-155
An important line of research using laboratory experiments has provided a new potential reason for gender imbalances in labour markets: men are more competitively inclined than women. Whether, and to what extent, gender differences in attitudes toward competition lead to differences in naturally occurring labour markets remains an open question. To examine this, we run a natural field experiment on job-entry decisions where we randomize almost 9000 job-seekers into different compensation regimes. By varying the role that individual competition plays in setting the wage and the gender composition, we examine whether a competitive compensation regime, by itself, can cause differential job entry. The data highlight the power of the compensation regime in that women disproportionately shy away from competitive work settings. Yet, there are important factors that attenuate the gender differences, including whether the job is performed in teams, whether the position has overt gender associations, and the age of the job-seekers. We also find that the effect is most pronounced in labour markets with attractive alternative employment options. Furthermore, our results suggest that preferences over uncertainty can be just as important as preferences over competition per se in driving job-entry choices.

Corporate governance in China: A modern perspective

Journal of Corporate Finance 2015 32, 190-216
This paper provides a modern overview of corporate governance in China and in doing so highlights many corporate governance features and issues that are, for the most part, unique to China. We also describe how papers in this special issue advance our understanding of corporate governance in China and in general.

CEO risk preferences and dividend policy decisions

Journal of Corporate Finance 2015 35, 18-42
This study examines whether risk aversion-inducing CEO compensation motivates managers to pay more dividends regardless of investor preferences. Using inside debt (i.e., pensions and deferred compensation) and the sensitivity of CEO equity compensation to stock price changes (i.e., high CEO delta), as proxies of CEO risk aversion, we document that inside debt induces CEOs to pay dividends while convex CEO compensation decreases dividend payout.

Changing the Nexus: The Evolution and Renegotiation of Venture Capital Contracts

Journal of Financial and Quantitative Analysis 2015 50(3), 349-375
We study the evolution and renegotiation of the cash-flow rights that venture capitalists (VCs) obtain in their portfolio companies. When company performance between financing rounds is poor, subsequent contracts contain stronger VC cash-flow rights, and existing VCs tend to either give new VCs senior claims or forfeit their existing rights altogether. These results are consistent with the importance of financing problems between different VCs and with theory predicting that financing frictions worsen with poor performance. A consequence is that VC cash-flow rights are frequently significantly diluted before exit, implying that VC investments are riskier than previously estimated.

Identifying and Testing Models of Managerial Compensation

Review of Economic Studies 2015 82(3), 1074-1118 open access
We develop a pure moral hazard model, and a closely related hybrid one, where there are both hidden actions and hidden information, to derive the restrictions from optimal contract theory that characterize set identification. In pure moral hazard models, the expected utility of managers is equalized across states, whereas in a hybrid model the optimal contract equates the expected utility of truth telling with the expected utility of lying. These restrictions are testable. Our identi…cation analysis establishes sharp and tight bounds on the identified set. Our tests and estimators are based on these bounds. We apply semiparametric methods to test the models, estimate the structural parameters, and quantify the effects of hidden actions versus hidden information. The pure moral hazard model is rejected on a large panel data set measuring the compensation of chief executive officers and the …financial and accounting returns of the publicly traded …firms they manage. We do not, however, reject the restrictions of the hybrid model, and our structural estimates for that model show the degree of private information varies considerably across sectors and over fi…rm size.

Insuring Nonverifiable Losses

Review of Finance 2015 19(1), 283-316 open access
Insurance contracts are often complex and difficult to verify outside the insurance relation. We show that standard one-period insurance policies with an upper limit and a deductible are the optimal incentive-compatible contracts in a competitive market with repeated interaction. Optimal group insurance policies involve a joint upper limit and individual deductibles; insurance brokers can play a role implementing such contracts for their clients. Our model provides new insights and predictions about the determinants of insurance.