A New Method for Volatility Estimation with Applications in Foreign Exchange Rate Series

Abstract

The statistical properties of three foreign exchange rate series are analyzed using a redefinition of the time scale to cope with the inherent seasonal heteroskedasticity. A conditional heteroskedastic autoregressive nonlinear (CHARN) model is estimated by local linear regression techniques. The results show significant nonlinearities for the mean function as well as for the variance function.