Does the early-career exposure of bank CEOs to the 1980s savings and loans (S&L) crisis affect the outcomes of banks they subsequently managed? We measure the S&L crisis exposure by the bank failure rate in the states where CEOs worked during the S&L crisis. Armed with this measure, we find that banks managed by CEOs with higher S&L crisis exposure took on less risk and that these banks better survived the financial crisis of 2008. In particular, CEOs adjusted risk attitudes in areas causing the S&L crisis: their more intense crisis experience reduced banks’ interest rate risk, exposure to risky financial innovation and credit risk. We establish the causal interpretation of the findings by evaluating the impact of crisis exposure via CEO hometown states and exploiting quasi-exogenous turnovers due to CEO retirement. Overall, CEOs learned from the past industry crisis which helped curtail their institutions’ risk exposures and enhance later crisis performance.

We document five novel facts about the role of search effort in forming trading relationships among firms by combining a variety of micro and macro datasets. These facts strongly suggest the presence of search complementarities. To study the implications of these facts for aggregate fluctuations, we build a dynamic general equilibrium model, disciplined by our new firm-level evidence on search effort. The model matches key aspects of the macro and micro data that have remained unaccounted for by standard models, including the time-varying bimodal distribution of output and the strong, nonlinear propagation of shocks. Also, changes to the volatility of shocks have nonlinear effects on macroeconomic fluctuations that advance a novel interpretation of the Great Moderation. Finally, we provide a new account of the state-dependent effects of fiscal policy.

This study extends extant research on the determinants of financial analyst bias by examining the role that political incentives play. Using a series of scheduled provincial political events in China, we document that analysts are significantly more likely to issue favorable recommendations or revise their recommendations upward during political event periods, and the effect of political events on optimism is larger for analysts employed by brokerage firms affiliated with politicians. Cross‐sectional evidence suggests that the impact of political events on analyst optimism is concentrated in those provinces where capital market development is a more important performance indicator for politicians or where the incumbent politicians face a pending promotion. Stock return analyses reveal that favorable recommendations issued during political event periods are significantly less profitable in the long run and are less credible according to investor perceptions. Reinforcing our main evidence, we also find that financial analysts are more likely to issue optimistic earnings forecasts during political event periods. Collectively, our results imply that political incentives distort analyst opinions and political‐economic factors affect the corporate information environment in China.

We study how professional fund managers’ growth expectations affect their equity investments and the consequent effects on prices. Using novel data on China’s mutual fund managers’ growth expectations, we show that pessimistic managers decrease equity allocations and shift away from more cyclical stocks. We identify a statistically significant link between managers’ growth expectations and returns on the stocks that they hold and trade. We also find that an earnings-based measure of price informativeness is increasing in forecasting managers’ investment and forecast-consistent trading, implying that active fund managers in China help move stock prices closer to underlying fundamentals.

ABSTRACT We examine how digital disruption affects bank competition using the staggered rollout of 3G mobile networks. 3G expansion increased mobile banking adoption among tech‐savvy households, reducing branch networks—especially in younger counties. Banks' strategies diverged: Less branch‐reliant banks closed branches and competed on price, while more branch‐reliant banks maintained branches but raised spreads. A structural model shows that perceived digital service improvements among younger consumers drove these shifts, reducing welfare for older savers. Counterfactuals demonstrate that subsidizing adoption for older savers can cost‐effectively reduce these disparities, facilitating a smoother digital transition.

It is common practice worldwide for corporate insiders to put up stock as collateral for personal loans. We highlight a potential problem in such pledging. When controlling shareholders face a margin call threat if stock prices fall below the required level for a loan, they have an incentive to use corporate resources for their private benefit. We develop and test a margin call hypothesis that controlling shareholders may initiate share repurchases to fend off potential margin calls associated with pledged stocks in order to maintain their control rights. Investors seem to recognize such behavior and discount the potential benefits of repurchase programs. However, share pledges are not reliably related to repurchases when control rights are not a concern. We further show that regulatory restrictions of control rights on pledging effectively reduce the likelihood of firms' repurchasing. Overall, our results shed light on the impact of share pledges on corporate decisions.

We measure financial literacy and study its impact on household use of digital finance using the 2015 and 2017 China Household Finance Survey. We find that financial literacy significantly boosts the use of digital finance, including mobile payments, online borrowing, and online financial products. This effect is more pronounced for online borrowing and online financial products than for mobile payments. This result suggests that the impact of financial literacy increases with the complexity of digital finance. Furthermore, financial literacy plays a more important role in promoting the use of digital financial services among disadvantaged groups, such as families with low income and wealth, the elderly, and residents in rural areas, compared with their counterparts.

ABSTRACT This study examines the impact of political corruption on the provision of CEO risk-taking incentives. We hypothesize that firms adjust their CEO’s risk-taking incentives to reflect the influence of local political corruption on the firms’ desired level of risk-taking. Using U.S. Department of Justice data on local political corruption, we find that the sensitivity of CEO wealth to stock volatility (vega) is lower in firms located in high-corruption districts. The negative impact of corruption on vega is more pronounced among (1) firms operating in industries that are more dependent on government procurement, (2) firms operating in more innovative industries, and (3) firms without political connections. Our study offers new insights into how the institutional environment shapes executive compensation design. Data Availability: Data are available from the public sources cited in the text. JEL Classifications: G32; G38; J33; J41; M52.

ABSTRACT While prior studies generally support that equity-based compensation induces CEOs to manipulate financial reporting, there is limited direct empirical evidence on whether financial misreporting concerns affect compensation design. A key challenge for establishing a causal relationship is that misreporting incentives and compensation policies are often endogenously determined. Exploiting the exogenous reduction in litigation threat following a 1999 ruling of the U.S. Ninth Circuit Court of Appeals, we examine how heightened misreporting concerns in a less litigious environment affect CEOs' compensation design. Consistent with the theoretical prediction that misreporting concerns prevent companies from providing more powerful incentive pay that is otherwise optimal, we find that firms headquartered in Ninth Circuit states decreased CEOs' equity portfolio vega relative to the control firms after the ruling. We further document that this reduction was concentrated among firms facing greater misreporting concerns post-ruling. JEL Classifications: J33; K22; M52.