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Stylized facts of financial time series and three popular models of volatility
Malmsten, Hans (contributor); Teräsvirta, Timo (contributor) - 2004 - [Elektronische Ressource], Rev. September 3, 2004
Conditional Heteroskedasticity (GARCH), the Exponential GARCH and the Autoregressive Stochastic Volatility model. The focus is on … heteroskedasticity ; evaluation of volatility models ; exponential GARCH ; GARCH ; modelling return series ; stochastic volatility …
Persistent link: https://www.econbiz.de/10002199620
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Evaluating exponential GARCH models
Malmsten, Hans (contributor) - 2004 - [Elektronische Ressource], Rev. September 3, 2004
testing parameter constancy. Furthermore, various existing ways of testing the EGARCH model against GARCH one are investigated … ; GARCH …
Persistent link: https://www.econbiz.de/10002199638
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Ergodicity, mixing, and existence of moments of a class of Markov models with applications to GARCH and ACD models
Meitz, Mika (contributor); Saikkonen, Pentti (contributor) - 2004 - [Elektronische Ressource], First version October 2004, revised December 2005 and April 2007
autoregressive conditional heteroskedasticity (GARCH) and autoregressive conditional duration (ACD) models with possibly complicated …
Persistent link: https://www.econbiz.de/10002465203
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Univariate nonlinear time series models
Teräsvirta, Timo (contributor) - 2005 - [Elektronische Ressource]
In this paper developments in the analysis of univariate nonlinear time series are considered. First a number of commonly used nonlinear models are presented. The next section is devoted to methods of testing linearity, which is an important part of nonlinear model building. Techniques of...
Persistent link: https://www.econbiz.de/10002679532
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A simple efficient GMM estimator of GARCH models
Skoglund, Jimmy (contributor) - 2001 - [Elektronische Ressource]
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. -- GARCH ; GARCH …
Persistent link: https://www.econbiz.de/10001600059
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An extended constant conditional correlation GARCH model and its fourth-moment-structure
He, Changli (contributor); Teräsvirta, Timo (contributor) - 2002 - [Elektronische Ressource]
The constant conditional correlation GARCH model is probably the most frequently applied multivariate GARCH model. In … first and the second-order constant conditional correlation GARCH model. The usefulness of the theoretical results of the … correlation GARCH model. -- Autoregressive conditional heteroskedasticity ; moment structure of GARCH ; multivariate conditional …
Persistent link: https://www.econbiz.de/10001693116
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Evaluating models of autoregressive conditional duration
Meitz, Mika (contributor); Teräsvirta, Timo (contributor) - 2004 - [Elektronische Ressource], First version March 2004, revised December 2004
This paper contains two novelties. First, a unified framework for testing and evaluating the adequacy of an estimated autoregressive conditional duration (ACD) model is presented. Second, two new classes of ACD models, the smooth transition ACD model and the time-varying ACD model, are...
Persistent link: https://www.econbiz.de/10001959574
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Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series : a re-examination
Teräsvirta, Timo (contributor); Dijk, Dick van (contributor) - 2004 - [Elektronische Ressource], Rev. November 9, 2004
In this paper we examine the forecast accuracy of linear autoregressive, smooth transition autoregressive (STAR), and neural network (NN) time series models for 47 monthly macroeconomic variables of the G7 economies. Unlike previous studies that typically consider multiple but fixed model...
Persistent link: https://www.econbiz.de/10002127012
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Determing the number of regimes in a threshold autoregressive model using smooth transition autoregressions
Strikholm, Birgit (contributor);  … - 2005 - [Elektronische Ressource], Rev. February 11, 2005
In this paper we propose a method for determining the number of regimes in threshold autoregressive models using smooth transition autoregression as a tool. As the smooth transition model is just an approximation to the threshold autoregressive one, no asymptotic properties are claimed for the...
Persistent link: https://www.econbiz.de/10002535492
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Testing parameter constancy in unit root autoregressive models against continuous change
He, Changli (contributor); Sandberg, Rickard (contributor) - 2005 - [Elektronische Ressource], Rev. February 8, 2005
In this paper we derive tests for parameter constancy when the data generating process is non-stationary against the hypothesis that the parameters of the model change smoothly over time. To obtain the asymptotic distributions of the tests we generalize many theoretical results, as well as new...
Persistent link: https://www.econbiz.de/10002570513