long memory case, thus complementing Robinson's consistency result. An application to the relation between the volatility … realized in the stock market and the associated implicit volatility derived from option prices is offered …

We study the forecasting of future realized volatility in the foreign exchange, stock, and bond markets from variables … in the information set, including implied volatility backed out from option prices. Realized volatility is separated into … its continuous and jump components, and the heterogeneous autoregressive (HAR) model is applied with implied volatility as …

We study the relation between realized and implied volatility in the bond market. Realized volatility is constructed … from high-frequency (5-minute) returns on 30 year Treasury bond futures. Implied volatility is backed out from prices of … associated bond options. Recent nonparametric statistical techniques are used to separate realized volatility into its continuous …

in return volatility of Bollerslev and Mikkelsen (1996) by introducing a possible volatility-in-mean effect. To avoid … that the long memory property of volatility carries over to returns, we consider a filtered FIEGARCH-in-mean (FIEGARCH …-M) effect in the return equation. The filtering of the volatility-in-mean component thus allows the co-existence of long memory …

We consider the properties of three estimation methods for integrated volatility, i.e. realized volatility, the Fourier … generating mechanisms for the instantaneous volatility process, e.g. Ornstein-Uhlenbeck, long memory, and jump processes. The … volatility process. However, bid-ask bounce effects render realized volatility and especially the wavelet estimator less useful …

stock return data, which includes both features and allows the co-existence of long memory in volatility and short memory in … returns. We extend this model to allow the financial parameters governing the volatility-in-mean effect and the leverage …

in return volatility of Bollerslev and Mikkelsen (1996) by introducing a possible volatility-in-mean effect. To avoid … that the long memory property of volatility carries over to returns, we consider a filtered FIEGARCH-in-mean (FIEGARCH …-M) effect in the return equation. The filtering of the volatility-in-mean component thus allows the co-existence of long memory …

. Moreover, spot and futures price data tend to display clear patterns of time-varying volatility which also has the potential to …

. Moreover, spot and futures price data tend to display clear patterns of time-varying volatility which also has the potential to …

in return volatility of Bollerslev and Mikkelsen (1996) by introducing a possible volatility-in-mean effect. To avoid … that the long memory property of volatility carries over to returns, we consider a filtered FIEGARCH-in-mean (FIEGARCH …-M) effect in the return equation. The filtering of the volatility-in-mean component thus allows the co-existence of long memory …