This paper develops and tests a heterogeneous agents model for the option market. Our agents have different beliefs about the future level of volatility of the underlying stock index and trade accordingly. We consider two types of agents: fundamentalists and chartists, who are able to switch...

GARCH-type models have been very successful in describing the volatility dynamics of financial return series for short periods of time. However, for example macroeconomic events may cause the structure of volatility to change and the assumption of stationarity is no longer plausible. In order to...

It is a well known fact that at high sampling frequencies, the contamination of microstructure noise causes the Realized Variance to be a biased measure of the Integrated Variance. Recent developments in this field propose sampling on lower frequencies, sub-sampling techniques, or bias...

This paper develops and tests a heterogeneous agents model for the option market. Contrary to the common practice in the heterogeneous agents literature of modeling the level process, we introduce heterogeneity and switching in the variance process of the stock market. The market consists of two...

The current paper proposes a conditional volatility model with time varying coefficients based on a multinomial switching mechanism. By giving more weight to either the persistence or shock term in a GARCH model, conditional on their relative ability to forecast a benchmark volatility measure,...