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semimartingales. Based on this new sampling scheme we propose a class of volatility estimators named renewal based volatility … based volatility estimators are consistent and jump-robust estimators of the integrated variance of a general semimartingale …
Persistent link: https://www.econbiz.de/10014116287
Estimation of the volatility of time series has taken off since the introduction of the GARCH and stochastic volatility … models. While variants of the GARCH model are applied in scores of articles, use of the stochastic volatility model is less … unobserved stochastic volatility, and the varying approaches that have been taken for such estimation. In order to simplify the …
Persistent link: https://www.econbiz.de/10011386124
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
We investigate a model in which we connect slowly time varying unconditional long-run volatility with short …-run conditional volatility whose representation is given as a semi-strong GARCH (1,1) process with heavy tailed errors. We focus on … robust estimation of both long-run and short-run volatilities. Our estimation is semiparametric since the long-run volatility …
Persistent link: https://www.econbiz.de/10009719116
We propose a new methodology based on Fourier analysis to estimate the fourth power of the volatility function (spot … viewpoint. Extensions to higher powers of volatility and to the multivariate case are also discussed …
Persistent link: https://www.econbiz.de/10013084252
return and its volatility. Although this characteristic of stock returns is well acknowledged, most studies about it are … stochastic volatility context and for high frequency data. The consistency and limit distribution of the estimators are derived …, e.g. volatility of volatility …
Persistent link: https://www.econbiz.de/10013067501
Semi-parametric estimators for non-Gaussian GARCH processes based on Feasible Weighted Least Squares (FWLS) are proposed. The estimators are consistent and do not require the specification of the innovations distribution family. The FWLS estimators incorporate information related to the skewness...
Persistent link: https://www.econbiz.de/10012978175
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/10014051065
This paper formulates dynamic density functions, based upon skewed-t and similar representations, to model and forecast electricity price spreads between different hours of the day. This supports an optimal day ahead storage and discharge schedule, and thereby facilitates a bidding strategy for...
Persistent link: https://www.econbiz.de/10014107616