Gun violence is a major problem in the United States, and extensive prior work has shown that higher temperatures increase violent behavior. We consider whether restricting the concealed carry of firearms mitigates or exacerbates the effect of temperature on violence. We use two identification strategies that exploit daily variation in temperature and variation in gun control policies between and within states. We provide evidence that more-prohibitive concealed-carry laws attenuate the temperature-homicide relationship. Our findings are consistent with more-prohibitive policy regimes reducing the lethality of altercations.

We present a dynamic, continuous-time model in which risk averse inside equityholders set a bank’s lending, payout, and financing policies, and the exposure of bank assets to crashes. We examine whether bailouts encourage excessive lending and risk taking compared to liquidation or bail-ins with debt-to-equity conversion or debt write-downs. The effects of the prevailing insolvency resolution mechanism (IRM) on the probability of insolvency, loss in default, and the bank’s value suggest no single IRM is a panacea. We show how a bailout fund financed through a tax on bank dividends resolves bailouts without public money and without distorting insiders’ incentives.

There are significant differences among sell-side analysts in how frequently they revise recommendations. We show that much of this variation is an analyst-individual trait. Analysts who change recommendations more slowly make recommendations that are more influential and generate better portfolio returns. Slower-revising analysts tend to change recommendations following corporate news that are harder to interpret by nonstock experts, and our evidence suggests that their investment value derives from their ability to better interpret hard-to-assess information. On average, analysts change recommendations less frequently as their career progresses; however, recommendation speed-style is the dominant predictor of their recommendation value.

This paper tests the expectations hypothesis (EH) using U.S. monthly data for bond yields spanning the 1952–2003 sample period and ranging in maturity from one month to 10 years. We apply the Lagrange multiplier test developed by Bekaert and Hodrick (2001) and extend it to increase the test power by introducing economic variables as conditioning information and by using more than two bond yields in the model and testing the EH jointly on more than one pair of yields. While the conventional bivariate procedure provides mixed results, the more powerful testing procedures suggest rejection of the EH throughout the maturity spectrum examined.

Applying a Burgstahler and Dichev (1997)/Degeorge et al. (1999) type methodology to quarterly data for the 1985–2002 time period, we show that, since the mid-1990s, but not before then, managers seek to avoid negative quarterly earnings surprises more than to avoid either quarterly losses or quarterly earnings decreases. Our findings suggest that the quarterly earnings threshold hierarchy proposed by Degeorge et al. (1999) does not apply to recent years, and that managers' claim that avoiding quarterly earnings decreases is the threshold they most seek to achieve (Graham et al. 2004) is inconsistent with their actions. We provide an intuitively appealing economic rationale for why the shift in threshold hierarchy occurred; since the mid-1990s, but not before then, investors unambiguously rewarded (penalized) firms for reporting quarterly earnings meeting (missing) analysts' estimates more than they did for meeting (missing) the other two thresholds. We provide several explanations for why investors unambiguously reward firms for reporting quarterly earnings that meet or beat analysts' estimates more than for meeting the other two thresholds late (but not early) in our sample period: increased media coverage given to analyst forecasts, more analyst following, more firms covered by analysts, and temporal increases in both the accuracy and precision of analyst forecasts.

Statement of Financial Accounting Standards (SFAS) 141 (Accounting Standards Codification [ASC] 805) requires that firms record identifiable assets and liabilities acquired in business combinations at fair value. While the FASB argued that these fair values should provide users with incremental decision‐useful information, opponents have continuously argued that they are too difficult to reliably estimate and could be subject to managerial discretion. Using hand‐collected data from US mergers and acquisitions, we find that, on average, fair value adjustments predict future cash flows incrementally beyond pre‐deal book values and cash flows, goodwill, and other firm and deal characteristics. We also find that the relation between fair value adjustments and future cash flows varies predictably based on several factors that affect managers' ability and incentives to provide accurate estimates. Furthermore, despite prevailing concerns about their usefulness, we find that fair values for intangible assets predict future cash flows, on average. However, we find that this relation is driven primarily by the fair values of customer‐ and contract‐related intangible assets and that the fair values of other types of identifiable intangibles do not necessarily convey incremental decision‐useful information. Finally, we find that users appear to rely on the information conveyed by these disclosures, as evidenced by revisions to analysts' forecasts and changes in stock prices. Overall, our findings provide insight regarding the usefulness of current standards and users' reliance on fair values in business combinations.

Despite years of initiatives to improve gender equity in public accounting firms, women continue to be underrepresented at the partner level. Supporting women's aspirations to become partner is important to ensure there are more women in the pipeline of potential partners. However, we argue that challenges during the COVID‐19 pandemic are likely to have negative downstream effects on accounting firms' efforts to improve female partner representation. Therefore, using a survey of 192 certified public accountants (CPAs), we develop and test a theoretical model that examines changes in women's partner aspirations during the COVID‐19 pandemic. Using the conservation of resources (COR) theory, we predict that women experienced disproportionately higher role overload during the pandemic compared to men. We also rely upon COR theory to predict that higher levels of role overload will be associated with weakened partner‐track motivations (i.e., less value placed on the advantages of the partner level and lower willingness to make the sacrifices necessary to pursue the partner level) and weakened partner aspirations. Consequently, we expect that women public accountants experienced weakened partner aspirations through higher role overload during the pandemic. Results support our predictions as we find that women experienced higher levels of role overload, which are associated with weakened partner‐track motivations, which in turn are associated with weakened partner aspirations. In sum, our results suggest that the COVID‐19 pandemic exacerbated pre‐pandemic gender equity challenges within public accounting firms. Fortunately, we also find that higher levels of supervisor support and coworker support help limit role overload and mitigate declines in partner aspirations. We discuss several insights that firms can use to mitigate post‐pandemic declines in women's partner aspirations.

We investigate how firms' use of derivatives impacts voluntary disclosure and offer four main findings. First, we find that when firms begin using derivative instruments, they increase the frequency of management earnings forecasts. Second, using path analysis, we find a direct link between derivative usage and forecast frequency, as well as an indirect link through reduced earnings volatility. Third, we find that CEOs with more pronounced career concerns increase forecast frequency only when derivatives make earnings easier to forecast and find no evidence that investor demand drives the decision to provide a forecast. These results suggest that the primary mechanism for the association between derivative usage and forecast frequency is a reduction in the manager's costs of providing the forecasts. Finally, we find that the majority of derivative‐induced forecasts are uninformative to capital market participants, especially after FAS 161 provided the necessary underlying data to understand how firms use derivatives. Overall, we provide the first empirical evidence that firms that use derivatives issue more management forecasts, but we also find that these incremental forecasts are largely uninformative and appear driven by managerial career concerns.