ABSTRACT Credit ratings on many financial instruments failed to accurately portray default risk before the global financial crisis. I find no decline in the performance of corporate credit ratings during or after the crisis, indicating that the failures of ratings on financial instruments were due to conditions unique to the rating agencies' financial instruments divisions. Rather, the preponderance of tests indicate that corporate credit rating performance improves after the crisis, consistent with the rating agencies positively responding to public criticism and regulatory pressures. At the same time, I find evidence of sophisticated market participants decreasing their reliance on corporate credit ratings after the crisis. Consistent with theoretical models of reputation cyclicality, a likely explanation is that the rating agencies suffer spillover reputation damage from their failed ratings on financial instruments. My study informs regulators, practitioners, and academics about the performance of corporate credit ratings during and after the crisis, and provides novel empirical evidence consistent with reputation concerns affecting credit rating usage decisions.

ABSTRACT We investigate the effects of financial reporting on current employee job search, that is, whether firms' public financial reports cause their employees to reevaluate their jobs and consider leaving. We develop theory for why current employees use earnings announcements (EAs) to inform job search decisions, and empirically investigate job search based on employees' activity on a popular job market website. We find that job search by current employees increases significantly during EA weeks, especially when employees are more mobile and when their information frictions are greater. We also find that employees use EAs to update their expectations about their employers' economic prospects, consistent with learning, and some evidence that positive announcements elicit less search. Our paper contributes to the burgeoning labor and accounting literature by providing among the first evidence closely linking financial reports to employee learning and job search.

ABSTRACT Fixed effects (FE) have emerged as a ubiquitous and powerful tool for eliminating unwanted variation in observational accounting studies. Unwanted variation is plentiful in accounting research because we often use rich data to test precise hypotheses derived from abstract theories. By eliminating unwanted variation, FE reduce concerns that omitted variables bias our estimates or weaken test power. FE are not costless, though, so their use should be carefully justified by theoretical and institutional considerations. FE also transform samples and variables in ways that are not immediately apparent, and in doing so affect how we should interpret regression results. This primer explains the mechanics of FE and provides practical guidance for the informed use, transparent reporting, and careful interpretation of FE models.

We analyze over 27,000 social media livestreams by Chinese mutual funds to investigate whether they achieve regulators’ goal of improving retail investment decisions. Our findings indicate that livestreams generate significant inflows, often within minutes of their start times. Yet rather than educating investors, livestreams amplify return-chasing behavior and predict sharp declines in fund performance. Investors who buy in response to livestreams would earn higher returns by holding index funds or even cash. Further analyses using deep learning algorithms reveal that livestreams are more persuasive when speakers are more physically attractive, use more positive language, and sound more excited. We conclude that livestreams primarily function as persuasive advertising and that regulators should be wary of educational efforts led by sellers of consumer financial products. We also conclude that prior evidence on the benefits of firms’ social media use in equity markets does not extend to financial product markets in this setting.

We investigate whether managers “hide” bad news by announcing earnings during periods of low attention, or by providing less forewarning of an upcoming earnings announcement. Our findings are consistent with managers reporting bad news after market hours, on busy days, and with less advance notice, and with earnings receiving less attention in these settings. Paradoxically, our findings indicate that managers also report bad news on Fridays, but we do not find lower attention on Fridays. Further, we find negative returns when the market is notified of an upcoming Friday earnings announcement, which is consistent with investors inferring forthcoming bad news.

ABSTRACT We examine the effects of stock market access, and in particular trading hours, on retail investment performance. Using discontinuities around time zone borders, we find that plausibly exogenous decreases in waking trading hours are associated with meaningful increases in retail investors’ capital gains, as reported on tax returns for the U.S. population. Our results indicate that limiting trading hours curbs active retail trading, leading to improvements in portfolio performance. Our findings identify one negative effect of decreasing barriers to entry for retail investors in trading markets. JEL Classifications: M41; M48; G40; G51.

We investigate whether unpleasant environmental conditions affect stock market participants’ responses to information events. We draw from psychology research to develop a new prediction that weather-induced negative moods reduce market participants’ activity levels. Exploiting geographic variation in equity analysts’ locations, we find compelling evidence that analysts experiencing unpleasant weather are slower or less likely to respond to an earnings announcement relative to analysts responding to the same announcement but experiencing pleasant weather. Price association tests find evidence consistent with reduced activity due to weather-induced moods delaying equilibrium price adjustments following earnings announcements. We also use our analyst-based research design to re-examine an existing prediction that unpleasant weather induces investor pessimism, and find evidence of both analyst pessimism and reduced activity in the presence of unpleasant weather. Together, our study provides new evidence that both extends and reaffirms findings of a relation between unpleasant weather and market activities, and contributes to the broader psychology and economics literature on the impact of weather-induced mood on labor productivity.