Showing 1 - 10 of 11
In the cointegrated vector autoregression (CVAR) literature, deterministic terms have until now been analyzed on a case-by-case, or as-needed basis. We give a comprehensive unified treatment of deterministic terms in the additive model Xt = ᵧZt + Yt, where Zt belongs to a large class of...
Persistent link: https://www.econbiz.de/10011583206
regime states as well as the possibility of fractional cointegration. The model is motivated by the dynamics of electricity …
Persistent link: https://www.econbiz.de/10010290397
realized volatility. The jump component has very different time series properties than the continuous component, and accounting … for this allows improved forecasting of future realized volatility. We investigate the potential forecasting role of … implied volatility backed out from option prices in the presence of these new separate realized volatility components. We show …
Persistent link: https://www.econbiz.de/10010290416
We consider estimation of the cointegrating relation in the weak fractional cointegration model, where the strength of … fractional cointegration model, which has found important application recently, especially in financial economics. Previous …
Persistent link: https://www.econbiz.de/10010290372
In this paper a nonparametric variance ratio testing approach is proposed for determining the cointegration rank in … data, the strength of the cointegrating relations, or the cointegration vector(s). The latter property makes it easier to … statistic without being reflected in the asymptotic distribution. Furthermore, a consistent estimator of the cointegration space …
Persistent link: https://www.econbiz.de/10010290391
We consider estimation of the cointegrating relation in the stationary fractional cointegration model. This model has …
Persistent link: https://www.econbiz.de/10010290408
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 …
Persistent link: https://www.econbiz.de/10010290338
We study measures of foreign exchange rate volatility based on high-frequency (5-minute) $/DM exchange rate returns … using recent nonparametric statistical techniques to compute realized return volatility and its separate continuous sample … implied volatility. We find that implied volatility is an informationally efficient but biased forecast of future realized …
Persistent link: https://www.econbiz.de/10010290348
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 …
Persistent link: https://www.econbiz.de/10010290353
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 …
Persistent link: https://www.econbiz.de/10010290394