This paper develops the method for pricing bivariate contingent claims under general autoregressive conditionally heteroskedastic (GARCH) process. In order to provide a general framework being able to accommodate skewness, leptokurtosis, fat tails as well as the time-varying volatility that are...

To detect chaos on observational data, we first need to know the embedding dimension. We propose a consistent approach to estimate this dimension using the theoretical work of Bosq and Guegan (1994) and we apply the results to real financial data.