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...

This paper introduces an easy to follow method for continuous time model estimation. It serves as an introduction on how to convert a state space model from continuous time to discrete time, how to decompose a hybrid stochastic model into a trend model plus a noise model, how to estimate the...

Financial markets are typically characterized by high (low) price level and low (high) volatility during boom (bust) periods, suggesting that price and volatility tend to move together with different market conditions/states. By proposing a simple heterogeneous agent model of fundamentalists and...