Knowledge that Transforms

We use a large pictorial sample of Chinese financial analysts to test the association between facial width‐to‐height ratio ( fWHR ) and performance in men. Financial analysts offer an ideal setting for our investigation because we can objectively track individual analysts’ behaviors and performance. We find that high‐ fWHR analysts are more likely to conduct corporate site visits and they exhibit better performance. The positive fWHR –performance association survives a battery of robustness checks and the association is more pronounced for analysts with lower status, for firms with higher uncertainty, and for analysts facing more intense competition. Our results suggest that the dominant trait predicted by fWHR is achievement drive.

This study examines whether requiring the disclosure of audited financial statements disciplines managers’ mergers and acquisitions (M&As) decisions. When an M&A transaction meets certain disclosure thresholds, the Securities and Exchange Commission (SEC) requires the public acquirer to disclose the target's audited financial statements after the merger is completed. Using hand‐collected data, I find that the disclosure of private targets’ financial statements is associated with better acquisition decisions. Furthermore, I find that this disciplining effect of disclosure is more pronounced when monitoring by outside capital providers is more difficult and costly, and when other disciplining mechanisms are weaker. Finally, these findings are robust to several alternative explanations, such as monitoring from blockholders and voluntary disclosures. In sum, the evidence suggests that the ex post mandatory disclosure of private targets’ accounting information disciplines managers’ acquisition decisions and improves acquisition efficiency.

We commemorate the 50th anniversary of Ball and Brown [1968] by chronicling its impact on capital market research in accounting. We trace the evolution of various research paths that post–Ball and Brown [1968] researchers took as they sought to build on the foundation laid by Ball and Brown [1968] to create a body of research on the usefulness, timeliness, and other properties of accounting numbers. We discuss how those paths often link back to the groundwork laid and questions originally posed in Ball and Brown [1968].

We propose the standard neoclassical model of investment under uncertainty with short‐run adjustment frictions as a benchmark for earnings‐return patterns absent accounting influences. We show that our proposed benchmark generates a wide range of earnings‐return patterns documented in accounting research. Notably, our model generates a concave earnings‐return relation, similar to that of Basu [1997], and predicts that the earnings‐return concavity increases with the volatility of firms’ underlying shock processes and decreases with the level of firms’ investments. We find strong empirical support for these predictions. Overall, our evidence suggests that our proposed benchmark is useful for understanding the joint dynamics of variables of interest to accounting research (e.g., earnings, returns, investment, market‐to‐book) absent accounting influences, a necessary precondition for inferring the effects of accounting from these dynamics.

A widely held assumption in policy making and empirical research is that increasing the strength of public enforcement improves financial reporting quality and audit quality. This paper provides a more nuanced view. In a model with a manager who can manage earnings, a strategic auditor, and an enforcement institution, we show that enforcement and auditing are complements in a weak enforcement regime but can be substitutes in a strong regime. Although stronger enforcement always mitigates earnings management, the effects of different instruments of strengthening enforcement are ambiguous. We show that they can improve or impair financial reporting quality and audit quality, depending on production risk, accounting system characteristics, and the scope of auditing relative to enforcement.

We ask whether credit rating agencies receive higher fees and gain greater market share when they provide more favorable ratings. To investigate this question, we use the 2010 rating scale recalibration by Moody's and Fitch, which increased ratings absent any underlying change in issuer credit quality. Consistent with prior research, we find that the recalibration allowed the clients of Moody's and Fitch to receive better ratings and lower yields. We add to this evidence by showing that the recalibration also led to larger fees and to increases in the market shares of Moody's and Fitch. These results are consistent with critics’ concerns about the effects of the issuer‐pay model on the credit ratings market.

How do U.S. companies respond to incentives intended to encourage domestic manufacturing? I study the Domestic Production Activities Deduction (DPAD), which was enacted in the American Jobs Creation Act (AJCA) of 2004 and was the third largest U.S. corporate tax expenditure as of 2017. Using confidential data from the U.S. Bureau of Economic Analysis, I find greater average domestic investment spending of 95.5–143.6 million, but only within the sample of domestic‐only firms and not until 2010, when the greatest statutory DPAD benefits were available. Additional evidence suggests that U.S. multinational claimants invest abroad rather than in the United States and that the increased investment by DPAD firms is accompanied by a reduction in the domestic workforce, consistent with a substitution of capital for labor. I also show that the delayed investment response is due to firms engaging in other responses first, such as changing corporate reporting to shift income across time and borders. Quantifying the extent of these effects contributes to the literature that studies this tax deduction and informs policy makers as to the effectiveness of both manufacturing incentives and U.S. corporate income tax rate reductions in stimulating real domestic activity.

This paper examines whether fraud allegations affect firms’ contracting with the government. Using a data set of whistleblower allegations brought under the False Claims Act against firms accused of defrauding the government, we find that federal agencies do not reduce the total dollar volume of contracts with accused firms; however, they substitute approximately 14% of the harder‐to‐monitor cost‐plus contracts for fixed‐price contracts. This effect is concentrated in the procurement of services and explained by contract and service substitution. Finally, we find that after the conclusion of the investigation, the government reduces the contract dollar volume by approximately 15% for cases that resulted in a settlement. Our findings indicate that contract‐design changes are used to mitigate uncertainty in suppliers’ reputation.

Gatekeepers in financial markets have the power to provide the institutional stability, fortitude, and direction necessary for the development and the smooth functioning of capital markets. At the same time, they are often motivated by their own private incentives. This along with the tradeoffs they face, and the at‐times unintended consequences of the regulations they propose and enforce, can undermine their effectiveness. A thorough understanding of gatekeepers and their roles can thus illuminate academics, the financial community, and regulators on how such gatekeepers can be the most effective and generate the greatest benefits for capital markets. Since gatekeeping roles and the literature they have inspired encompass a wide array of institutions and agencies, our overview concentrates on those that the conference papers appearing in this volume focus on. We conclude that collectively, the papers contribute to significant progress, and point out some crucial areas that call for further investigation and offer opportunities for future research.

This paper is about measuring state dependence in dynamic discrete outcomes. I develop a nonparametric dynamic potential outcomes (DPO) model and propose an array of parameters and identifying assumptions that can be considered in this model. I show how to construct sharp identified sets under combinations of identifying assumptions by using a flexible linear programming procedure. I apply the analysis to study state dependence in unemployment for working age high school educated men using an extract from the 2008 Survey of Income and Program Participation (SIPP). Using only nonparametric assumptions, I estimate that state dependence accounts for at least 30–40% of the four‐month persistence in unemployment among high school educated men.