We evaluate whether machine learning methods can better model excess portfolio returns compared to the standard regression-based strategies generally used in the finance and econometric literature. We examine 17 benchmark factor model specifications based on Expected Utility Theory and theory...

In this study, we investigate the tail dependency between bank stocks in China and 35 common risk factors. We measure univariate and multivariate conditional tail risk probabilities. The evidence indicates that tail events from risk factors in the banking, security trading, real estate, and...

We combine a customized survey and randomized controlled trial (RCT) to study the effect of higher-order beliefs on U.S. retail investors' portfolio allocations. We find that investors' higher-order beliefs about stock market returns are correlated with but distinct from their first-order...

The rapid development of cryptocurrencies motivates us to examine the factors that drive cryptocurrency prices. Using Google attention innovation ($GAI$) to measure network hype or investor speculation, this paper investigates the effect of network hype in the cryptocurrency market and proposes...

We study investors' perceptions of inflation through the lens of a high-frequency event study and document that they have a stagflationary view of the world. In response to higher-than-expected inflation, investors expect firms' nominal cash flows to remain stagnant while discount rates...

In this paper, we derive an intertemporal dividend-surprise-augmented asset-pricing model and show that the expected risk premium compensates for stock returns’ exposure to (i) the market-wide dividend-surprise hedge portfolio based on dividend yield surprise and volatilities, in addition to...

We model how a cyber attack may be amplified through the U.S. financial system, focusing on the wholesale payments network. We estimate that the impairment of any of the five most active U.S. banks will result in significant spillovers to other banks, with 38 percent of the network affected on...

We analyze how systemic cyber risk in the wholesale payments network relates to adverse financial conditions. We show that at the onset of the COVID-19 pandemic, payment activity increased, became more concentrated, and showed intraday liquidity stress. Cyber vulnerability was elevated in late...

We document a causal effect of social interactions on investor behavior using the number of local soccer games as a measure of social interaction intensity. Social transmission is identifiable in buy but not sell trades. The effect of Social Interaction Intensity (SII) on the sensitivity of...

Specialness - the premium of procuring a specific security in the repo market - increased in the second half of 2011 for Italian government bonds. We assess the impact on specialness of the outright purchase program of the Eurosystem during the same period. Bonds bought by the Eurosystem had...