We assess the effects of board gender quota laws using a sample of banks from 39 countries. We document an increase in both stand-alone and systemic risk post-quota among banks that did not meet the quota pre-reform; the effect is stronger for banks in countries with a smaller pool of women in finance and low gender equality. We find that the propagation of poor governance practices by overlapping female directors and deterioration in the information environment post quota are likely channels driving the results. The evidence is consistent with some banks “gaming” the reform by strategically appointing insiders, which weakens the board's monitoring function. Our results have policy implications and suggest that supply-side factors are key determinants of the outcome of mandated quotas.

Abstract Lump-sum job displacement policies (e.g., severance pay) are often presented as a better alternative to contingent policies (e.g., unemployment insurance) in the context of developing countries, under the rationale that the former are less harmful to formal employment as they do not incentivize substitution from formal to informal jobs. First, this paper provides original evidence on the employment effects of lump-sum income in the context of a developing country with high labor informality. A regression discontinuity (RD) design, using Brazilian data, shows that a transfer equivalent to fifteen days of earnings (a) increases the duration out of a formal job by 1.9 weeks, (b) reduces monthly earnings in the next job by 1.6%, and (c) reduces total earnings in the formal labor market by 3.6% over a three-year period. Second, the paper studies the impact of a one-month extension in unemployment insurance (UI) on a comparable sample of displaced workers. UI is shown to have a stronger impact on the duration out of a formal job compared with a lump-sum transfer. In addition, a novel exercise matching administrative and survey data shows that 57% of the decrease in formal employment caused by UI is compensated by an increase in the incidence of informal employment. However, workers receiving the UI extension partially recover the initial employment loss over time in such a way that the adverse impact on employment over a three-year period is similar compared with the lump-sum transfer. Moreover, UI is found to be less harmful to reemployment wages, possibly because it improves workers' bargaining power as it offers insurance against the duration of joblessness. Overall, the UI extension is less detrimental to total earnings in the formal labor market over a three-year period. Hence, although these findings indicate that contingent job insurance policies have a stronger impact on the initial duration out of a formal job and indeed incentivize informal employment, they do not support the notion that lump-sum policies are less harmful to formal employment and earnings in the medium term.

Abstract We show that credit rating agencies can influence political elections. We find that incumbent political parties experience an increase in their vote shares following municipal bond upgrades. The evidence is consistent with rating agencies affecting elections indirectly by expanding local governments’ debt capacity and directly through an impact on voters’ perceptions of the quality of incumbent politicians. To identify these effects, we examine election outcomes within neighboring counties by exploiting exogenous variation in municipal bond ratings due to Moody’s recalibration of its scale in 2010.

Different share classes on the same firms provide a natural experiment to explore how investor clienteles affect momentum and short-term reversals. Domestic retail investors have a greater presence in Chinese A shares and foreign institutions are relatively more prevalent in B shares. These differences result from currency conversion restrictions and mandated investment quotas. We find that only B shares exhibit momentum and earnings drift and only A shares exhibit monthly reversals. Institutional ownership strengthens momentum in B shares. These patterns accord with a setting where short-term reversals (which represent inventory risk premia) prevail in a market dominated by noise traders and momentum prevails in markets where noise traders are less prevalent relative to informed investors who underreact to fundamental signals. Overall, our findings confirm that clienteles matter in generating stock return predictability from past returns.

Between 2010 and 2017, Chinese investors used an investor interactive platform (IIP) to ask public companies around 2.5 million questions, the vast majority of which received a reply within two weeks. We analyze these IIP dialogues using a BERT-based algorithm and provide preliminary evidence on their causes and consequences. Our analyses show most questions reflect investors’ difficulties in processing information already in the public domain. Controlling for other news, higher IIP activity is associated with increases in trading volume, return volatility, market liquidity, and price informativeness as well as decreases in bid-ask spread. Financial statement-related postings increase around the adoption of new accounting standards. Collectively, our results show that investors face significant information processing costs but that IIP activities help reduce these costs, leading to improvements in stock price formation.

We investigate whether non-GAAP earnings disclosures increase stock price crash risk. Consistent with non-GAAP disclosures allowing managers to inflate investors’ perceptions about firm performance, our results indicate that income increasing non-GAAP reporting increases crash risk. We also find that managers can use non-GAAP reporting as a substitute for earnings management to withhold bad news from investors (the traditional explanation for crashes). Finally, we find a positive association between non-GAAP reporting and the likelihood of subsequent events that can trigger a crash. Overall, our evidence is consistent with some non-GAAP disclosures exposing investors to risks of large and sudden price declines.

We survey 462 financial journalists and conduct 18 interviews to obtain insights on the inputs to their reporting, the incentives they face, and the factors that influence their coverage decisions. We report many findings relevant to the accounting literature and identify multiple avenues for future research. For example, financial journalists say the likelihood they write about a specific company or CEO increases when the company is controversial or the CEO has a colorful personality, suggesting journalists gravitate toward provocative topics. We also find that financial journalists routinely use company-issued disclosures and private phone calls with company management when developing articles, and that they believe they are evaluated primarily on the accuracy, timeliness, and depth of their articles. Journalists also believe monitoring companies to hold them accountable is one of financial journalism's most important objectives, but they often face negative consequences for writing articles that portray companies in an unfavorable light.

We explain when and how staggered difference-in-differences regression estimators, commonly applied to assess the impact of policy changes, are biased. These biases are likely to be relevant for a large portion of research settings in finance, accounting, and law that rely on staggered treatment timing, and can result in Type-I and Type-II errors. We summarize three alternative estimators developed in the econometrics and applied literature for addressing these biases, including their differences and tradeoffs. We apply these estimators to re-examine prior published results and show, in many cases, the alternative causal estimates or inferences differ substantially from prior papers.