Companies have overlapping exposures to many different features that might plausibly affect their returns, like whether they're involved in a crowded trade, whether they're mentioned in an M&A rumor, or whether their supplier recently missed an earnings forecast. Yet, at any point in time, only...

Why are stock prices much more volatile than the underlying dividends? The excess volatility of prices can in principle be attributed to two different causes: time-varying discount rates for expected future dividends, arising from variation in risk premia; or the irrational exuberance of...

We provide the first large-scale study of the performance of expected-return proxies (ERPs) internationally. Analyst-forecast-based ICCs are sparsely populated and not robustly associated with future returns. Earnings-model-forecast-based ICCs are well-populated, but are unreliable outside the...

These days it's become convention (reinforced by the media's treatment of wealth) to assess our net worth by tallying up the market value of our financial assets, even though it's more natural and useful to think of our wealth as a stream of dollars over time given the nature of our income and...

The longest bull market in US stock market history is over. Uncertainty over the public health and economic impact of the coronavirus pandemic will keep markets extremely volatile, making it likely we'll touch a wide range of price levels in the months ahead. Amidst such uncertainty, it's a...

We use learning in an equilibrium model to explain the puzzling predictive power of the volatility risk premium (VRP) for option returns. In the model, a representative agent follows a rational Bayesian learning process in an economy under incomplete information with the objective of pricing...

The VIX barely drops at macro-announcements. This is at odds with virtually all models that attempt to explain the "macro-announcement premium." We point out that the macro-announcement sample is too small, considering the high volatility and fat tail of daily returns. Our small-sample argument...

We study strategic disclosure timing by correlated firms in the presence of risk-averse investors. Firms delay disclosures in the hope that positively correlated firms will announce especially good news and lift their own price. Risk premia rise before disclosures, drop when disclosures occur,...

This paper tries to draw on the relative merits of both the jump risk models and the long-run risk models with a linkage established by Bayesian learning, in an attempt to improve both asset pricing approaches in producing a better mechanism for understanding asset prices regularities.Rather...

This study examines risk premia in a laboratory market featuring a long-lived asset. The research is enabled by prevention of the persistent bubbles and crashes endemic to laboratory markets utilizing long-lived assets. Positive, statistically significant risk premia are reported, in support of...