Forward‐looking information, often used by auditors to evaluate complex estimates and form conclusions about going‐concern audit report modifications, is commonly disclosed voluntarily by U.S. public companies. We experimentally examine how this disclosure behavior affects auditors’ skepticism toward such information. Prior research has shown that investors and analysts frequently interpret voluntarily disclosed forward‐looking information as credible. We demonstrate that auditors, in contrast, exhibit greater skepticism toward forecasted information that has been voluntarily disclosed (vs. mandatorily disclosed or held privately) because of their reduced trust in management, even when the forecasts align with prior year trends (vs. being more optimistic). Our results suggest that a manager's decision to disclose, rather than the disclosure content itself, leads to increased auditor skepticism. Our findings have implications not only for audit outcomes, but also for manager disclosure behavior, as increased auditor scrutiny could discourage future voluntary disclosure.

Using data on applied-for jobs for the universe of Danish UI recipients, we examine variation in job search behavior both across individuals and over time during unemployment spells. We find large differences in the level of applied-for wages across individuals but over time all individuals adjust wages downward in the same way. The decline in applied-for wages over time is descriptively small but economically important in standard models of job search. We find similar results when examining variation in the non-wage characteristics of applied-for jobs and in the search methods used to find them. We discuss implications for theory.

Retail order imbalance positively predicts returns, but on average retail investor trades lose money. Why? Order imbalance tests equal-weighted stocks, but retail purchases concentrate on attention-grabbing stocks that subsequently underperform. Long–short strategies based on extreme quintiles of retail order imbalance earn dismal annualized returns of −14.8% among stocks with heavy retail trading but earn 6.6% among other stocks. Our results reconcile the literatures on the performance of retail investors, the predictive content of retail order imbalance, and attention-induced trading and returns. Smaller retail trades concentrate more on attention-grabbing stocks and perform worse.

Forward-looking investments determine the resilience of firms’ supply chains. Such investments confer externalities on other firms in the production network. We compare the equilibrium and optimal allocations in a general equilibrium model with an arbitrary number of vertical production tiers. Our model features endogenous investments in protective capabilities, endogenous formation of supply links, and sequential bargaining over quantities and payments between firms in successive tiers. We derive policies that implement the first-best allocation, allowing for subsidies to input purchases, network formation, and investments in protective capabilities. The first-best policies depend only on production function parameters of the pertinent tier. When subsidies to transactions are infeasible, the second-best subsidies for resilience depend on production function parameters throughout the network, and subsidies are larger upstream than downstream whenever the bargaining weights of buyers are nonincreasing along the chain.

Using detailed data on U.S. households’ locations, employment, and financial portfolios, we document that individuals employed in locally clustered industries are more likely to invest in risky assets. This pattern is strongest among individuals with high labor income, employed in skilled occupations, and with strong cognitive skills. Our overall evidence suggests the relation between industry clusters and investment decisions is best explained by clusters enhancing human capital among local industry workers, in turn amplifying their effective risk tolerance. Our findings highlight the important role of local labor market composition in generating household portfolio patterns within and across geographies.

The study provides large‐scale descriptive evidence on the timing and nature of corporate financial tweeting. Using an unsupervised machine learning approach to analyze 24 million tweets posted by S&P 1500 firms from 2012 to 2020, we find that firms are more likely to tweet financial information around significantly negative or positive news events, such as earnings announcements and the filing of financial statements. This convex U‐shaped relation between the likelihood of posting financial tweets and the materiality of accounting events becomes stronger over time. Whereas research based on early samples concludes that firms are less likely to disseminate financial information on Twitter when the news is bad and material, the symmetric dissemination behavior we find suggests that these conclusions should be revised. We also show that a machine learning algorithm (Twitter‐Latent Dirichlet Allocation) is superior to a dictionary approach in classifying short messages like tweets.

Little is known about the motivations and outcomes of sellers in remunerated markets for human materials. We exploit dramatic growth in the U.S. blood plasma industry to shed light on the sellers of plasma. Sellers tend to be young and liquidity-constrained with low incomes and limited access to traditional credit. Plasma centers absorb demand for nontraditional credit. After a plasma center opens nearby, demand for payday loans falls by over 13% among young borrowers. Meanwhile, foot traffic increases by over 4% at nearby stores, suggesting that constrained households use plasma markets to smooth consumption without appealing to high-cost debt.

We use unique features of the private credit market to examine if and how currency risk impacts firms' financing and whether currency risk is a priced systematic risk at the firm level. We find that currency exposure has a large impact on loan spreads. Decomposing loan spreads, we find that exposure increases the expected default loss premium and that internationalization, growth opportunities, and relationship intensify exposure's impact. Further, exposure exacerbates firms' financing risk by increasing the need for collateral, reducing loan maturity, inducing monitoring and covenant intensity, and influencing syndicate structure. However, exposure does not affect the expected return premium in loan spreads; hence, currency risk does not appear priced in the classical sense and, therefore, should not affect the “true” cost of debt. Our findings imply that while managers should be concerned about exposure's impact on their access to, and terms of, bank financing, they should not adjust hurdle rates on account of exposure when assessing investment projects.

While formal institutions are considered important in affecting corporate behaviors, little attention has been paid to the role of informal institutions in such relation. We employ the (formal) corporate governance reforms and the (informal) individual countries' trust levels to examine how the informal institution moderates the impacts of the formal institution on corporate financial policies. Using a sample of 88,929 firm-year observations across 35 countries, we document a positive effect of corporate governance reforms on corporate financing and investment. More importantly, we find that the positive effect of the formal regulatory reforms is more pronounced with lower levels of informal country-level trust. Further analysis shows that corporate governance reforms lead to both lower under- and over-investment, and the effect is also stronger in low-trust countries. Our study sheds light on the interactive relation between corporate governance and trust and indicates that countries can offset the negative lack-of-trust effect on economic outcomes through formal regulatory reforms.