Abstract This paper examines whether a one-time, extensive, but temporary shock to cash supply can affect the adoption of digital payments. We exploit the 2016 demonetization episode in India, which overnight discontinued 86% of cash in circulation. Using novel administrative data from retail debit card transactions, we identify a 12% increase in digital payments in areas adversely affected by the cash shortage, which persisted well after the restoration of cash supply. Examining mechanisms, we find a limited role for social networks and stronger support for learning by doing. Further, information frictions hinder the immediate adoption of digital payments. (JEL E5, 023) Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Abstract Some market crashes occur because of significant imbalances in demand and supply. Conventional models fail to explain the large magnitudes of price declines. We propose a unified structural framework for explaining crashes, based on the insights of market microstructure invariance. A proper adjustment for differences in business time across markets leads to predictions which are different from conventional wisdom and consistent with observed price changes during the 1987 market crash and the 2008 sales by Société Générale. Somewhat larger-than-predicted price drops during 1987 and 2010 flash crashes may have been exacerbated by too rapid selling. Somewhat smaller-than-predicted price decline during the 1929 crash may be due to slower selling and perhaps better resiliency of less integrated markets.

Can fintech close the gender gap in access to financial services? Using novel survey data for 28 countries, this paper finds a large and ubiquitous ‘fintech gender gap’: while 29% of men use fintech products, only 21% of women do. This difference exceeds the gender gap in bank account ownership at traditional financial institutions. While country characteristics and individual-level controls explain about a third of the fintech gender gap, the residual gap declines by 60% when accounting for gender differences in the willingness to use new financial technology, the suitability of fintech products, and the willingness to use fintech entrants if they offer cheaper products. The paper concludes by discussing drivers of differences in attitudes and implications for policy to foster financial inclusion with new technology.

Abstract This paper examines how labor mobility restrictions like noncompete agreements affect firms’ investment decisions. Using matched employee-employer data from LinkedIn, I show that increases in the enforceability of noncompete agreements lead to widespread declines in employee departures, specifically in knowledge-intensive occupations. Established firms that rely more on these knowledge-intensive occupations increase their investment rate in physical capital. However, new firm entry in corresponding sectors declines. I provide evidence for different mechanisms to explain these patterns. Together, the findings show that labor frictions play an important role in investment decisions. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Private equity (PE) managers are required to invest their own money in the funds they manage. We examine the incentive effects of this ownership on the delegated acquisition decision. A simple model shows that PE managers select less risky firms and use more debt, the higher their ownership. We test these predictions for a sample of Norwegian PE funds, using managers’ wealth to capture their relative risk aversion. As predicted, the target company’s cash-flow risk decreases and leverage increases with the manager’s ownership scaled by wealth. Moreover, the overall portfolio risk decreases with ownership, mitigating widespread concerns about excessive risk-taking.

Abstract Prior studies on real earnings management (REM) focus mainly on estimating abnormal operating and investing activities at the firm level. We extend this literature by providing micro-level evidence regarding how financial reporting pressures influence new product release decisions, or product-level REM. Specifically, we compare how public and private studios differentially time the release of their movies. We find that, faced with pressure to boost quarterly revenues and earnings, public studios are more likely to release movies with high expected revenues in the last month of a fiscal quarter, compared to private studios. This documented result is stronger for firms with recent poor past performance, but is not present for movies in genres with a more targeted release window (e.g., romance and horror movies) and those using directors who have a history of collaboration with the studio. These results suggest that studios choose REM activities that have a lower impact on consumer demand and that minimize conflict with talent, consistent with choosing less costly activities to achieve financial reporting goals. A negative consequence of this financial reporting–driven product release strategy is that movies released in the last month of a quarter have lower international box office revenues. Taken together, these results provide evidence of the existence and consequences of product-level REM.

Abstract We study the effects of time-varying volatility and investment horizon on the economic significance of stock market return predictability from the perspective of Bayesian investors. Using a vector autoregression framework with stochastic volatility (SV) in market returns and predictor variables, we assess a broad set of twenty-six predictors with both in-sample and out-of-sample designs. Volatility and horizon are critically important for assessing return predictors, as these factors affect how an investor learns about predictability and how she chooses to invest based on return forecasts. We find that statistically strong predictors can be economically unimportant if they tend to take extreme values in high volatility periods, have low persistence, or follow distributions with fat tails. Several popular predictors exhibit these properties such that their impressive statistical results do not translate into large economic gains. We also demonstrate that incorporating SV leads to substantial utility gains in real-time forecasting.

We measure a stock’s exposure to fire sale risk through its ownership links to mutual funds that anticipate significant outflows during periods of systematic outflows from the fund industry. We find that stocks with higher exposure to this risk earn higher average returns: a portfolio that buys (shorts) stocks with the highest (lowest) exposure outperforms by 3-7% annually. Our findings cannot be explained by several known determinants of average returns and support the ex-ante pricing of the risk of fire sales. We conclude that stocks’ exposures to risks inherited from the constraints of shareholders have important implications for stock prices.

Credit unions in the United States (US) are exempt (benefit from subsidies) from federal corporate income taxes, which are traditionally justified by their non-profit cooperative status and mission of meeting the financial needs of individuals of modest means. In recent years, the efficacy and fairness of these subsidies has been debated extensively as the traditional demarcation between banks and credit unions and their respective customer bases have blurred. To investigate how credit unions allocate subsidies to various stakeholders, we estimate a structural profit model for matched pairs of credit unions and commercial banks. We find that credit unions use most (approximately 90%) of their tax exemption for the benefit of their membership via above-market deposit interest rates.