Results 61 to 70 of about 239,377 (84)
Overestimation in the Traditional GARCH Model During Jump Periods [PDF]
The traditional continuous and smooth models, like the GARCH model, may fail to capture extreme returns volatility. Therefore, this study applies the bivariate poisson (CBP)-GARCH model to study jump dynamics in price volatility of crude oil and heating ...
Wan-Hsiu Cheng
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Asymptotically efficient estimation of the change point for semiparametric GARCH models [PDF]
GARCH process, change point, maximum likelihood estimator, Bayesian estimator, asymptotic ...
Shiohama, Takayuki
core
The impacts of outliers on different estimators for GARCH processes: an empirical study [PDF]
The Maximum likelihood estimation (MLE) is the most widely used method to estimate the parameters of a GARCH(p,q) process. This is owed to the fact that the MLE, among other properties, is asymptotically efficient.
Ardelean, Vlad
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Selection of the Informative Base in ARMA-GARCH Models [PDF]
In this paper we consider the selection of the information set in ARMA-GARCH models using the methodology proposed in Muñoz et al. (2001) based on ideas of Phillips (1996). To that end, we analyse the performance of some selection criteria asymptotically
Laura Muñoz +2 more
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Parameter estimation in nonlinear AR–GARCH models [PDF]
This paper develops an asymptotic estimation theory for nonlinear autoregressive models with conditionally heteroskedastic errors. We consider a general nonlinear autoregression of order p (AR(p)) with the conditional variance specified as a general ...
Mika Meitz, Pentti Saikkonen
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Garch Parameter Estimation Using High-Frequency Data [PDF]
Estimation of the parameters of Garch models for financial data is typically based on daily close-to-close returns. This paper shows that the efficiency of the parameter estimators may be greatly improved by using volatility proxies based on intraday ...
Visser, Marcel P.
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The relationship between inflation, output growth, and their uncertainties: Nonlinear Multivariate GARCH-M evidence [PDF]
In this paper, we propose a nonlinear multivariate GARCH-M model. We have illustrated the actual modelling by applying the models to inflation and output growth variables and found that the effects of real and nominal uncertainties are regime-dependent ...
Tolga Omay
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Evaluation of Hedge Fund Returns Value at Risk Using GARCH Models [PDF]
The aim of this research paper is to evaluate hedge fund returns Value-at-Risk by using GARCH models. To perform the empirical analysis, one uses the HFRX daily performance hedge fund strategy subindexes and spans the period March 2003 – March 2008.
Sabrina Khanniche
core
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Closing the GARCH Gap: Continuous Time GARCH Modeling
Journal of Econometrics, 1996Bas J M Werker, Feike C Drost
exaly