Financial time series like exchange rates are highly persistent. An unexpected shock to the underlying variable has long lasting effects. The persistence in the volatility of the time series is usually exemplified by a highly persistent fitted GARCH model. Traditional stationary ARMA processes...

When analysing the volatility related to high frequency financial data, mostly non-parametric approaches based on realised or bipower variation are applied. This article instead starts from a continuous time diffusion model and derives a parametric analog at high frequency for it, allowing...

Many empirical studies find a negative correlation between the returns on the nominal spot exchange rate and the lagged forward discount. This forward discount anomaly implies that the current forward rate is a biased predictor of the future spot rate. A large number of studies in the existing...