Sudden big price changes are followed by periods of high and persistent volatility. I develop a tractable dynamic rational expectations model consistent with this observation. An infinity of agents possess dispersed information about future dividends and trade in centralized markets. Information...

Modern asset pricing theory predicts an unambiguously positive relationship between volatility and expected returns. Empirically, however, realized volatility in the past often predicts expected returns in the future with a negative sign, as exemplified by the volatility-managed portfolios of...

A multiple agent model is developed where traders must receive, process, and send communications to and from a distant market. This model highlights the importance that information theory's communication constraints have on the level of price uncertainty each agent faces. The collective...

There has been a long debate on the interpretation of idiosyncratic return variation. We inform this debate by examining the extent to which stock return synchronicity is associated with the post-earnings announcement drift (PEAD) in China. We find that firms with higher synchronicity exhibit...

Excessive risk-taking of financial agents drew a lot of attention in the aftermath of the financial crisis. Low interest rates and subdued market volatility during the Great Moderation are sometimes blamed for stimulating risk-taking and leading to the recent financial crisis. In recent years,...

We demonstrate the asset pricing implications of investors' belief heterogeneity in the frequency of news arrival and its joint impact with heterogeneous beliefs about news content. Investors trade volatility derivatives against each other to speculate on the rate of news arrival: greater...

An agent based artificial market is developed to determine the impact of the interaction between investors on prices. It consists of sentiment investors, a single fundamental investor and a market maker. Sentiment investors live in a small world network and have limited liquidity. They trade...

March 2020 packed 2 ½ years of normal U.S. stock market volatility into one month, making it the most volatile month on record. Daily variability clocked in at 6%, six times higher than the average over the past 90 years. How should an investor respond to such volatility? In this article we...