Abstract The causes and consequences of the 2008 mortgage meltdown and 2020 COVID-19 crisis are quite different: the 2008 mortgage meltdown reflected infection of the financial system due to excess leverage and poor-quality mortgage loans, and the recent crisis reflects a substantial global economic shock to contain the viral outbreak of the coronavirus. Yet the financial and medical systems share many elements, such as opacity and interconnectedness as well as adequate buffers and reserves. We examine these themes as well as asset pricing, moral hazard (though it was at the root of the crisis only in the Great Recession), the consequences for government as a systemic actor, economic concentration, and capital market regulation in the two crises. In both crises, interventions in financial markets and disruptions in the housing market played important, but differing, roles. The recent crisis elucidates open questions about the foundation of financial economics and risk sharing.

Abstract We use data from aggregate stock and dividend futures markets to quantify how investors’ expectations about economic growth evolved across horizons following the outbreak of the novel coronavirus (COVID-19) and subsequent policy responses until July 2020. Dividend futures, which are claims to dividends on the aggregate stock market in a particular year, can be used to directly compute a lower bound on growth expectations across maturities or to estimate expected growth using a forecasting model. We show how the actual forecast and the bound evolve over time. As of July 20th, our forecast of annual growth in dividends points to a decline of 8% in both the United States and Japan and a 14% decline in the European Union compared to January 1. Our forecast of GDP growth points to a decline of 2% in the United States and Japan and 3% in the European Union. The lower bound on the change in expected dividends is -17% in the United States and Japan and -28% in the European Union at the 2-year horizon. News about U.S. monetary policy and the fiscal stimulus bill around March 24 boosted the stock market and long-term growth but did little to increase short-term growth expectations. Expected dividend growth has improved since April 1 in all geographies.

Recent developments in the theory of strategic bargaining demonstrate how informational asymmetries can lead to prolonged and costly bargaining. These models can be applied to contract negotiations, yielding an economic theory of strikes. To date, however, few empirical tests of these models have been carried out. In this paper, a set of predictions concerning the incidence and unconditional duration of strikes is derived from a simple bargaining model in which the union is uncertain about the firm's future profitability. These predictions are then tested on a micro data set of major U.S. contract negotiations that took place from 1973 to 1977.

Affirmative action under Executive Order 11246 ranks among the most controversial of domestic federal policies. This study asks whether affirmative action has been successful in promoting the employment of minorities and females. It compares the change in demographics between 1974 and 1980 at more than sixty-eight thousand establishments, and finds that both minority and female employment have increased faster at establishments subject to affirmative action. Compliance reviews, while not well targeted are also found to have been effective.

Abstract This paper studies the impact of career concerns on technological change by analyzing the adoption of digital cinematography in the U.S. motion picture industry. This setting allows us to collect rich data on the adoption of this new technology at the project level (i.e., movie) and on the career of the main decision-maker (i.e., director). We find that early-career directors played a leading role in the adoption of digital technology, an effect that appears to be explained by career concerns, rather than alternative motives we consider and analyze. Technological savviness also plays a role. (JEL: G30, O33, L82, M50)Received: June 25, 2025Editor: J. Anthony Cookson 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.

Abstract In this article we develop a model to analyze patent-protected R&D investment projects when there is (imperfect) competition in the development and marketing of the resulting product. The competitive interactions that occur substantially complicate the solution of the problem since the decision maker has to take into account not only the factors that affect her/his own decisions, but also the factors that affect the decisions of the other investors. The real options framework utilized to deal with investments under uncertainty is extended to incorporate the game theoretic concepts required to deal with these interactions. Implementation of the model shows that competition in R&D, in general, not only increases production and reduces prices, but also shortens the time of developing the product and increases the probability of a successful development. These benefits to society are countered by increased total investment costs in R&D and lower aggregate value of the R&D investment projects.

This paper examines the predictions of the performance based arbitrage hypothesis for the merger arbitrage market. Performance based arbitrage [Shleifer, A., Vishny, R.W., 1997. The limits of arbitrage. Journal of Finance, 52 (1), 35–55] is the notion that funds under management are withdrawn from arbitrageurs following trading losses, resulting in inefficient prices for securities subject to arbitrage trades. I examine general comovement in merger arbitrage spreads and the response of spreads to large arbitrage losses and substantial changes in deal flow. I find little evidence that merger arbitrage spreads exhibit systematic comovement or are substantially affected by important liquidity events in this market.

Abstract Standard Bayesians’ beliefs converge when they receive the same piece of new information. However, when agents initially disagree and have uncertainty about the precision of a signal, their disagreement might instead increase, despite receiving the same information. We demonstrate that this divergence of beliefs leads to a unimodal effect of the absolute surprise in the signal on trading volume. We show that this prediction is consistent with the empirical evidence using trading volume around earnings announcements of U.S. firms. We find evidence of elevated volume following moderate surprises and depressed volume following more extreme surprises, a pattern that is more pronounced when investors hold more distant prior beliefs and are more uncertain about earnings’ precision. The evidence is consistent with the model where investors disagree about stocks’ expected returns and do not know the precision of earnings as a signal about the firm’s value.