We use a novel experiment in China to examine the effects of having a quasi-official investor own a small number of shares on specific firm outcomes. We find that, relative to control firms, pilot firms experience an increase in dissenting votes from independent directors, a reduction in tunneling and earnings management activities, and an improvement in merger performance. Independent directors questioned by the quasi-official shareholder in activism events subsequently lose board seats in the director market. Overall, our results shed light on a new mechanism for enhancing the protection of minority shareholders.

We show cash windfalls affect the real economy by spurring entrepreneurship. We identify these effects using the Spanish Christmas Lottery, which provides a unique setting as prizes are geographically concentrated and distributed among thousands of households. We find higher start-up entry, job creation, and self-employment in winning regions. Consistent with a financial constraints channel, results are strongest in sectors relying on external finance and regions with limited credit access. Newly created firms are larger, more profitable, and survive longer. For existing firms, however, growth and profitability do not respond to lottery awards, but wages increase due to tighter labor markets.

Firms become more efficient at innovation activities when they face pressure to meet earnings per share (EPS) targets using stock repurchases. Using a regression-discontinuity framework, we find that incentives to engage in “EPS-motivated buybacks” are followed by more citations and higher values for firms’ new patents. We trace these effects to improved allocation of R&D resources and a greater focus on novel innovation. The positive effects are concentrated among ex ante “innovation-efficient” firms that achieve better patenting outcomes after reorganizing (but not cutting) their R&D investments. Our findings illustrate that short-term earnings pressure can act through a free cash flow channel that motivates more efficient spending.

Dynamic equilibrium models based on present value computation not only imply that returns are predictable but also generate particular short-term patterns of predictability in asset returns. I take advantage of this to construct a set of tests of equilibrium generated predictability (EGP). I apply the tests to document two puzzles: First, option-implied or realized measures of volatility ought to predict returns but do not; and second, the variance risk premium (VRP) predicts returns but only at long horizons. VRP fails the tests of EGP as the term structure of predictable variation is inconsistent with an equilibrium interpretation.

We find that division managers who are connected to the CEO are substantially less likely than others to depart from the firm and are more likely to be promoted. Connected managers are protected when performance is poor, and they display no special ability to improve performance given this protection. Connections matter more in weak governance/incentive environments, and the external labor market and stock market appear skeptical of connected managers’ talents. While much of the evidence suggests inefficient favoritism, connected managers are protected more in peripheral segments, suggesting a possible efficiency benefit in helping to resolve intrafirm information problems.

This study employs variance ratios (VRs) to assess the roles of regulation and liquidity on cryptocurrency market efficiency, focusing on crypto-assets subject to varying degrees of regulation. Our findings reveal that cryptocurrencies supervised by FinCEN-licensed exchanges (IEO-L) exhibit market efficiency similar to SEC-regulated traditional stock offerings (IPOs). Conversely, noncompliant crypto-assets display higher market inefficiency. We also establish a connection between regulatory compliance and issuing entity reputation mechanisms. Our results indicate that compliance with existing regulatory norms enhances efficiency and reduces investor risks in crypto-assets. Furthermore, assets voluntarily adhering to regulatory norms can attain efficiency akin to government-regulated assets.

We demonstrate that investment income taxes incentivize capital allocation to the ecofriendly green sector away from the non-ecofriendly brown sector in a stylized economy. This tax reduces the arrival intensity of climate disasters, delivers the socially optimal allocation, and can be jointly implemented with a carbon tax, expanding policymakers’ toolkit to reduce climate disasters. Extending the model with heterogeneous investors, we show that investment income taxes can obtain support from a political majority and thereby relax political constraints faced by a carbon tax alone.

Using establishment-level data, we show that COVID-19 vaccinations boost business activity and firm performance in the United States. A 10-percent increase in vaccination rates results in a 4-percent to 6-percent increase in customer visits. We document the channels through which vaccinations increase store visits and the limits to the effect of vaccines on business activity. At the firm level, vaccinations increase sales and earnings, impact expansion decisions, and decrease probability of default, but the benefits vary across businesses. Vaccinations create private economic benefits to firms, shareholders, and employees, in addition to their intended public health benefits.

We show that firms’ left-tail risk positively predicts future returns of crash insurance. We proxy crash insurance with bear spreads, an option trading strategy that profits when extreme negative returns occur. Crash insurance for high (low) left-tail risk firms earns positive (negative) returns, suggesting that the downside protection it provides is not adequately priced. Our results are mainly explained by two types of underreaction: volatility underreaction in high left-tail risk portfolios and underreaction to the persistence of left-tail risk. Disagreement partially explains our results, but a risk-based approach does not.

This article examines how realized variances predict cryptocurrency returns in the cross section using intraday data. We find that cryptocurrencies with higher variances exhibit lower returns in subsequent weeks. Decomposing total variances into signed jump and jump-robust variances reveals that the negative predictability is attributable to positive jump and jump-robust variances. The negative pricing effect is more pronounced for smaller cryptocurrencies with lower prices, less liquidity, more retail trading activities, and more positive sentiment. Our results suggest that cryptocurrency markets are unique because retail investors and preferences for lottery-like payoffs play important roles in the partial variance effects.

We use the introduction of satellite coverage of major retailers to study the capital market implications of unequal access to big data. Satellite data enabled sophisticated investors with access to such data to formulate profitable trading strategies, especially by targeting the upcoming reports of retailers with bad news for the quarter. The introduction of satellite data led to more informed short-selling activity, less informed individual buying activity, and lower stock liquidity around the reports of retailers with satellite coverage. We conclude that unequal access to big data can increase information asymmetry among market participants without immediately enhancing price discovery.

We consider a model in which the correlation between shocks to consumption and to expected future consumption growth is nonzero and varies over time. We validate this assumption empirically using the model’s implication that time variation in consumption growth persistence (CGP) drives the correlation between stock and bond returns. Our model implies that the stock–bond correlation is also related to the predictive relation between bond yields and future stock returns. Finally, we provide suggestive evidence that asset price fluctuations are the primary driver of changes in CGP.

Nonbank lenders have been playing an increasing role in supplying debt, especially after the Great Recession. How important are the distortions in the greater regulation of banks that differentially limit risk-taking across alternative providers of credit? How might the growing role of nonbanks in credit markets affect financial stability? This selective review addresses these questions and discusses how banks and nonbanks helped provide liquidity to the nonfinancial sector during the COVID-19 pandemic shock. We argue that tighter bank regulation has created incentives for nonbanks to increase their participation in credit markets, a trend that creates concerns about financial stability.

We find that 43% of firms that make payouts also raise capital during the same year, resulting in 31% of aggregate payouts being externally financed, primarily with debt. Most financed payouts cannot be explained by payout smoothing in response to volatile earnings or investment (rather, they are the result of firms persistently setting payouts above free cash flow). In fact, 25% of aggregate payouts could not have been paid without the firms simultaneously raising capital. Profitable firms with moderate growth use debt-financed payouts to jointly manage their leverage and cash, thus highlighting the close relationship between payout and capital structure decisions.

Using a hand-collected sample of 18,269 equity analysts from 42 countries over the period of 2004 to 2019, we establish an intriguing negative association between a country’s institutional/economic development and its female share of equity analysts. We show that, in individualistic countries only, there is no gender gap in analyst forecast accuracy. We further show that female analysts are more skilled and more likely to drop out when underperforming in individualistic countries compared to peers in collectivistic countries. The evidence supports our hypothesis that the national cultural value of individualism encourages women to make career choices consistent with their general aversion to competition.

Using the macroeconomic forecasts of professional economists, we construct a comprehensive macro condition index that summarizes subjective expectations of output, inflation, and labor and housing market conditions. The index predicts stock returns and produces countercyclical equity premium forecasts, both in- and out-of-sample. Our results contrast with the procyclical subjective equity premia documented in recent literature. We show that the index reflects the true but unobserved macroeconomic condition that impacts the equity premium. Moreover, the predictability is not affected by belief biases and operates via a discount rate channel. The index’s predictability conforms to an explanation based on time-varying risk premia.

The credit default swap (CDS) Big Bang introduced 2 standard coupons for CDS trading. We exploit the setting of the 2 standard coupons as a natural experiment to quantify the components of the bid–ask spreads in over-the-counter markets. We find that a significant portion of the difference in the bid–ask spread between the 2 coupons is explained by the difference in funding costs. Furthermore, search intensity also explains the variation in the difference in bid–ask spread. The liquidity typically concentrates on one of the standard coupons and can suddenly switch to the other coupon. Using the sudden switch of the primary coupon, we provide further evidence to support the predictions of search-based liquidity models.

We examine compensation for endowment Chief Investment Officers (CIOs) overseeing portfolios with significant allocations to alternatives. We find widespread use of bonuses and that large endowments with high alternative allocations hire CIOs with stronger backgrounds, pay them more, and have higher pay-for-performance sensitivity. We find weak evidence of a relationship between compensation and future performance. Our results align with contract theory predictions but differ from empirical findings on pension funds. Endowments pay CIOs more, rely more on bonuses, attract more experienced professionals, and have lower turnover than pensions. This suggests more effective talent management compared to politically influenced public pensions.

Although federal judges are the ultimate arbiters of insider trading enforcement, the role of their political ideology in insider trading is unclear. Using the partisanship of judges’ nominating presidents to measure judge ideology, we first document that liberal judges are associated with heavier penalties in insider trading lawsuits than conservative judges. Next, we find that firms located in circuits with more liberal judges have fewer opportunistic insider sales. Cross-sectional analyses show that this deterrent effect is stronger when managers face a higher risk of insider trading lawsuits. Finally, we find that the Securities and Exchange Commission considers judges’ ideology when selecting litigation forums.