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high-frequency data better and produce more accurate forecasts than competing realized volatility and option …
Persistent link: https://www.econbiz.de/10012855793
This paper introduces Quasi-Maximum Likelihood Estimation for Long Memory Stock Transaction Data of unknown underlying distribution. The moments with conditional heteroscedasticity have been discussed. In a Monte Carlo experiment, it was found that the QML estimator performs as well as CLS and...
Persistent link: https://www.econbiz.de/10012022130
Volatility is a central tenet of financial markets, impacting a wide range of investors’ daily activities, including … considerable time and effort on finding new ways to accurately measure and estimate volatility. Incorporating intraday data in your … data to volatility forecasts …
Persistent link: https://www.econbiz.de/10014350504
on high-frequency stock trading volumes and realized volatility forecasts demonstrate the usefulness of the proposed …
Persistent link: https://www.econbiz.de/10009577035
's dynamic properties may lead to misestimation of the intraday spot volatility …
Persistent link: https://www.econbiz.de/10013007161
of volatility in finance for portfolio allocation, derivative pricing and risk management. The method has a two … average realized volatility processes can achieve a convergence rate close to OP(n−4/9) , which is better than the convergence … based on average realized volatility processes indeed performs better than that based on the price processes. Empirically …
Persistent link: https://www.econbiz.de/10011568279
investigate the impact of non-stationary microstructure noise on some volatility estimators, and design three complementary tests …
Persistent link: https://www.econbiz.de/10012970519
We revisit Wintenberger (2013) on the continuous invertibility of the EGARCH(1,1) model. We note that the definition of continuous invertibility adopted in Wintenberger (2013) may not always be sufficient to deliver strong consistency of the QMLE. We also take the opportunity to provide other...
Persistent link: https://www.econbiz.de/10011401308
This paper develops a method to select the threshold in threshold-based jump detection methods. The method is motivated by an analysis of threshold-based jump detection methods in the context of jump-diffusion models. We show that over the range of sampling frequencies a researcher is most...
Persistent link: https://www.econbiz.de/10011524214
The paper examines volatility activity and its asymmetry and undertakes further specification analysis of volatility … in volatility jumps. We also develop methods to estimate and evaluate, using price data alone, a general encompassing … model for volatility dynamics where volatility activity is unrestricted. The nonparametric application to VIX data, along …
Persistent link: https://www.econbiz.de/10013119659