This paper analyzes the impact of dispersion and correlation in investors' beliefs on the cross-section of volatilities and correlations in stock returns. Theoretically, we show that, in a baseline model with logarithmic agents and constant beliefs, there is a positive relationship between...

This paper verifies the endogenous mechanism and economic intuition on volatility clustering using the coexistence of two locally stable attractors proposed by Gaunersdorfer, Hommes and Wagener (2008). By considering a simple asset pricing model with two types of boundedly rational traders,...

We develop a continuous-time asset price model to capture short-run momentum and long-run reversal. By studying a dynamic asset allocation problem, we derive the optimal investment strategy in closed form and show that the combined momentum and reversal strategies are optimal. We then estimate...

How do traders process and learn from market information, what trading strategies should they use, and how does learning affect the market? This paper proposes a two-sided learning model of an artificial limit order market with asymmetric information to address these issues. Using a genetic...

With a growing popularity of index funds, we adopt a differences-in-opinion, general equilibrium framework to examine theoretically whether investors are better off with an index portfolio than active investing. In contrary to the conventional view, we find that, even for an active investor with...

This paper provides a difference-in-opinions equilibrium framework for pricing asset and option in a multi-period binomial economy with heterogeneous beliefs. Agents agree to disagree about their beliefs on the probability and asset return in each state of nature. By constructing a consensus...

This paper empirically estimates a heterogeneous agents model using S&P 500 data. While previous studies on heterogeneous agents models typically resort to simulation techniques, our empirical results indicate that the market is populated with fundamentalists, chartists, and noise traders. In...

In contrary to previous literature, we show in the Grossman-Stiglitz model of noisy rational expectation that the social value of asymmetric information can be improved with more informative prices when being informed is uncertain. Investors always benefit from a privately payoff-relevant...

We introduce a heterogeneous agent asset pricing model in continuous-time to show that trend chasing, switching and herding all contribute to market volatility in price and return and volatility clustering, but their impact are different. On the one hand, the fluctuations of market price and...

We propose a continuous-time heterogeneous agent model consisting of fundamental, momentum, and contrarian traders to explain the significant time series momentum. We show that the market under-reacts in short-run and over-reacts in long-run when momentum traders dominate the market, which...