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quarterly basis - for commonly used GARCH models in a large-scale study, using more than twelve years (2000-2012) of daily … following conclusions. First, updating the parameter estimates of the GARCH equation on a daily frequency improves only … overlap, reflecting that the performance is not significantly different. Second, the asymmetric GARCH model with non …
Persistent link: https://www.econbiz.de/10010326343
This paper proposes a bootstrap unit root test in models with GARCH(1,1) errors and establishes its asymptotic validity … for a wide range of GARCH specifications. …
Persistent link: https://www.econbiz.de/10004968089
In this paper I present two new Lagrange multiplier test statistics designed for testing the null of GARCH (1 …,1), against the alternative of asymmetric GARCH. For one test the alternative is the generalized QARCH (1,1) model of Sentana … [1995], and for the other the alternative is the logistic smooth transition GARCH (1,1) model of Hagerud [1996], and …
Persistent link: https://www.econbiz.de/10005771173
market portfolio;The specification of ARMA-GARCH helps capture fairly well issues such as serial correlations and fat …
Persistent link: https://www.econbiz.de/10005558864
It is generally believed that for the power of unit root tests, only the time span and not the observation frequency matters. In this paper we show that the observation frequency does matter when the high-frequency data display fat tails and volatility clustering, as is typically the case for...
Persistent link: https://www.econbiz.de/10005137272
This paper is concerned with efficient GMM estimation and inference in GARCH models. Sufficient conditions for the … estimator to be consistent and asymptotically normal are established for the GARCH(1,1) conditional variance process. In … addition efficiency results are obtained in the general framework of the GARCH(1,1)-M regression model. …
Persistent link: https://www.econbiz.de/10005423831
This paper presents a GARCH type volatility model with a time-varying unconditional volatility which is a function of … macroeconomic information. It is an extension of the SPLINE GARCH model proposed by Engle and Rangel (2005). The advantage of the … proposed here can lead to significantly improved volatility forecasts compared to traditional GARCH type volatility models. …
Persistent link: https://www.econbiz.de/10005416549
over a small time frame (e.g., a crisis period). We apply our method to test GARCH model specifications for a large panel …
Persistent link: https://www.econbiz.de/10010377229
) ARCH, GARCH and ARCH-in-mean alternatives; (2) the case where the variance increases monotonically with: (i) one exogenous … expériences de Monte Carlo que nous effectuons portent sur: (1) les alternatives de type ARCH, GARCH and ARCH-en-moyenne; (2) le …
Persistent link: https://www.econbiz.de/10005101027
This paper investigates the presence of asymmetric GARCH effects in a number of equity return series, and compare the … modeling performance of seven different conditional variance models, within the parametric GARCH class of models. The data …
Persistent link: https://www.econbiz.de/10005649300