Knowledge that Transforms

ABSTRACT Women often lack the opportunity to join exclusive social clubs, limiting the benefits they derive from their social networks. We investigate whether, when given the opportunity to interact with the right people in a professional setting, women gain greater advantages from these connections for career performance and advancement compared to men. Using a unique data set that documents when, where, and with whom financial analysts interact at investor conferences, we find that female analysts show greater improvement in earnings forecast accuracy than their male counterparts after interacting with a firm's executives. Further evidence suggests that female analysts overcome homophily in conference interactions with executives and that they sustain their gains, enhancing forecast accuracy for up to three years. In addition, both the capital and labor markets recognize women's superior gains from conference connections. Our findings suggest that women capitalize on professional connections, highlighting the importance of promoting structured networking opportunities for women in professional environments.

ABSTRACT Regulators are contemplating or mandating precise measurement of financial climate‐risk exposure to promote sustainable investments. We show that such mandates can be counterproductive in the presence of social funds that catalyze change by subsidizing the adoption of cleaner production technologies. Firms can exploit a social fund's impact motive by measuring their climate‐risk exposure imprecisely. This strategic imprecision prevents the fund from distinguishing between firms that require subsidies and those that would switch to clean technologies for financial reasons alone, thereby increasing the ex ante subsidies firms can extract. A by‐product of this rent‐seeking behavior is that firms adopt clean technologies more frequently than would be jointly efficient under precise measurement. Our analysis suggests that the regulatory push for precise climate‐risk measurement can reduce social funds' impact and the frequency of green transitions.

ABSTRACT This paper studies how partisan alignment between city leaders and state governors shapes information processing and bond pricing in the municipal bond market. Using a novel data set on 1,045 U.S. cities from 2005 to 2019, we show that cities with the same political affiliation as the state governor face 9 basis points lower borrowing costs than misaligned cities. The effect is stronger for riskier bonds, in states where governors hold greater authority, and for fiscally dependent cities. Aligned cities also receive more aid during fiscal distress. Partisan alignment shapes how investors interpret and respond to financial information: Nondisclosure and adverse audit findings raise borrowing costs primarily for misaligned cities, while penalties for aligned cities are markedly smaller.

ABSTRACT We examine the labor market consequences of the 2020 Regulation S‐K requiring human capital disclosure in 10K filings. Using large‐sample job‐level data and a Generative Large Language Model (GLLM), we observe that public firms subject to the regulation increase their disclosure of diversity, equity, and inclusion (DEI) information in job postings relative to a matched sample of large private firms. The increase in job‐posting disclosure is more pronounced among firms facing greater external pressure to increase their workforce diversity. These findings suggest a shift in demand for diverse candidates by public firms following the regulation. Yet, consistent with short‐term inelastic labor supply, this demand shift lengthens the recruitment period, with noticeable increases in workplace gender diversity emerging one year after the regulation, particularly among firms that demonstrate a credible commitment to DEI. Our study documents how securities regulations can impact labor market practices and underscores the challenges involved in shaping workforce diversity.

ABSTRACT Leveraging micro‐level data on individual employees’ bank and credit card transactions, we examine the impact of earnings announcement (EA) news on employee spending. Utilizing an event study methodology, we find strong evidence that EA news elicits significant reactions in employee spending. These reactions are stronger for employees located in the firm's headquarters state, with longer tenure, possessing investment experience, or earning higher wages, consistent with these employees being more likely to attend to their firm's EAs. The reactions are also stronger for the fourth fiscal quarter than interim quarters, suggesting that year‐end results garner greater employee attention. Furthermore, consistent with media facilitating employee processing of EA news, the reactions are stronger for EAs covered by a larger number of news articles. Finally, in line with the notion that EAs contain information about employees’ future cash flows, we find that EA news predicts changes in employee wages and that employees with higher past wage‐to‐EA news sensitivity exhibit stronger spending reactions. Overall, our findings provide evidence of the role of financial reporting in employees’ spending decisions.

ABSTRACT This paper studies the effect of reporting regulation on private firms' bank credit and its economic consequences. I exploit the Spanish institutional setting, which provides a unique combination of confidential loan data and regulatory features that generate quasi‐exogenous variation in reporting regulation. Using a regression discontinuity design, I find that firms subject to incremental reporting regulation obtain more bank credit primarily through cash flow–based lending, term loans, and long‐term debt, without higher interest rates. These findings are explained by stronger banking competition and greater reliance on financial statement data. However, firms do not expand their net financial position, as bank credit substitutes for other liabilities, and exhibit weaker performance consistent with the costs of reporting regulation. This evidence from a different setting offers new insights into how reporting regulation influences credit contracting for private firms and strengthens the empirical basis for policy‐making.

ABSTRACT In this paper, we develop novel measures of managerial labor market classification and competition by constructing networks of compensation benchmarking peers disclosed in proxy statements. These networks represent firms’ relative positions within the managerial labor market. Our classifications strongly predict executive moves across firms, outperforming a comprehensive set of predictors in the literature. Subsequent tests further demonstrate the strength of our methodology in capturing the multidimensional and dynamic features of the managerial labor market. We also validate our competition measures by showing that they are associated with retention tools, such as higher equity pay and longer pay duration. Finally, we apply our measures to test two theoretical predictions. First, we find that labor market competition could explain controversial pay practices. Second, we demonstrate that the labor market provides managers with tournament incentives to deliver superior future performance.

ABSTRACT Research shows that investors acquire and process less firm‐specific information on days when many firms announce earnings (hereafter earnings clusters). We show that investors gather more macroeconomic information during earnings clusters, that this behavior is amplified during negative economic shocks and concurrent macroeconomic announcements, and that these information acquisition patterns have implications for equity valuations. Our findings are consistent with the benefit of extracting macroeconomic information from earnings announcements increasing during earnings clusters, which we confirm empirically. Thus, our results help explain why investors focus less on individual firm news during earnings clusters: They rationally redirect their attention to the most beneficial information.

ABSTRACT We study plaintiff law firms in corporate litigation, focusing on “star” firms that dominate settlement outcomes. Stars are associated with larger settlements; however, much of this effect is predicted by the defendant's litigation insurance coverage, suggesting assortative matching of stars with lawsuits that have ex ante larger expected payoffs. Moreover, stars charge higher fees for a given settlement size. Additional tests suggest that visibility and information asymmetry vis‐à‐vis less sophisticated plaintiffs help sustain the stars’ market share. These findings advance our understanding of corporate litigation and the agency relationship between plaintiff law firms and their clients.

ABSTRACT This paper explores U.S. public firms’ cryptocurrency holdings and accounting practices from 2013 to 2022 against the backdrop of the recently enacted crypto accounting rule, ASU 2023‐08. Descriptive analyses suggest exponential growth in corporate crypto holdings and significant variation in crypto accounting practices, underscoring the rule's necessity. Hypothesis tests using the pre‐rule data reveal three insights with direct relevance to the rule. First, firms appear to view crypto assets more akin to investments than intangible assets, consistent with the rule's mandate of the fair value model. Second, Big 4 auditors steer firms toward the impairment model and less detailed presentation choices. This conservative approach is unlikely to meet the new rule's goal of providing the most decision‐useful information. Third, increased liquidity of crypto markets prompts the use of the fair value model and a more detailed presentation, consistent with the rule's focus on more actively traded tokens. However, within our sample, we find some evidence consistent with fair value reporting increasing stock return volatility and no evidence that it enhances earnings informativeness.