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macroeconomic fundamentals emanating from Germany and the U.S. We examine the reaction of intraday returns and volatility of the CAC … immediate response in returns and volatility of the German and the French stock market sampled at a five-minute frequency. The …
Persistent link: https://www.econbiz.de/10010875631
High frequency financial data allows us to learn more about volatility, volatility of volatility and jumps.  One of the … estimates time-varying volatility robustly to jumps.  We improve the scope and efficiency of multipower variation by the use of … first nonparametric high frequency estimator of the volatility of volatility.  A fundamental device in the paper is a new …
Persistent link: https://www.econbiz.de/10009650770
High frequency financial data allows us to learn more about volatility, volatility of volatility and jumps. One of the … estimates time-varying volatility robustly to jumps. We improve the scope and efficiency of multipower variation by the use of a … nonparametric high frequency estimator of the volatility of volatility. A fundamental device in the paper is a new type of result …
Persistent link: https://www.econbiz.de/10010554664
We propose a flexible GARCH-type model for the prediction of volatility in financial time series. The approach relies … computationally attractive and feasible for large dimensions. We demonstrate its strong predictive potential for financial volatility …
Persistent link: https://www.econbiz.de/10005797706
Stochastic variance models where the logarithmic volatility is modelled by an ARMA process and models with conditional … heteroscedasticity for daily returns are studied. Volatility of monthly relative changes computed as a product of daily changes is …
Persistent link: https://www.econbiz.de/10008528874
the total volatility function in a continuous-time jump diffusion model. …
Persistent link: https://www.econbiz.de/10005093922
This paper establishes uniform consistency results for nonparametric kernel density and regression estimators when time series regressors concerned are nonstationary null recurrent Markov chains. Under suitable regularity conditions, we derive uniform convergence rates of the estimators. Our...
Persistent link: https://www.econbiz.de/10010851296
We propose a modified local-Whittle estimator of the memory parameter of a long memory time series process which has good properties under an almost complete collection of contamination processes that have been discussed in the literature, mostly separately. These contaminations include...
Persistent link: https://www.econbiz.de/10010906797
We propose a jackknife for reducing the order of the bias of maximum likelihood estimates of nonlinear dynamic fixed-effect panel models.
Persistent link: https://www.econbiz.de/10010932901
volatility (HAR-RV). We implement a consistent model specification test that is robust to both distributional and model …
Persistent link: https://www.econbiz.de/10010939493