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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 …
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We consider semiparametric frequency domain analysis of cointegration between long memory processes, i.e. fractional … cointegration, allowing derivation of useful long-run relations even among stationary processes. The approach is due to Robinson …-run dynamics. We derive the asymptotic distribution theory for the FDLS estimator of the cointegration vector in the stationary …
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There are simple well-known conditions for the validity of regression and correlation as statistical tools. We analyse by examples the effect of nonstationarity on inference using these methods and compare them to model based inference using the cointegrated vector autoregressive model. Finally...
Persistent link: https://www.econbiz.de/10009767620
with general cointegration rank. Our hedge is optimal in the sense of minimum variance portfolio. We consider a model that … correlation and cointegration parameters. For short holding periods the correlation impact is predominant. For long horizons, the … hedge ratio should overweight the cointegration parameters rather then short-run correlation information. In the innite …
Persistent link: https://www.econbiz.de/10010244526
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 uni ed 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/10011517008