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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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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
Properties of three well-known and frequently applied first-order models for modelling and forecasting volatility in … 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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A latent factor model of European exchange rate risk premia
Alexius, Annika; Sellin, Peter - 1997
Persistent link: https://www.econbiz.de/10000958083
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A dynamic conditionally heteroscedastic stochastic frontier model
Löthgren, Mickael - 1998
Persistent link: https://www.econbiz.de/10000984774
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A nonlinear time series model of El Niño
Hall, Anthony D.; Skalin, Joakim; Teräsvirta, Timo - 1998
Persistent link: https://www.econbiz.de/10000994162
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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
This paper studies a class of Markov models which consist of two components. Typically, one of the components is observable and the other is unobservable or 'hidden'. Conditions under which (a form of) geometric ergodicity of the unobservable component is inherited by the joint process formed of...
Persistent link: https://www.econbiz.de/10002465203
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Finite dimensional Markovian realizations for stochastic volatility forward rate models
Björk, Tomas (contributor); Landén, Camilla (contributor);  … - 2002 - [Elektronische Ressource], This version: May 6, 2002
volatility/diffusion term is stochastic in the sense of being driven by a separate hidden Markov process. Within this framework … conditions for the existence of a finite dimensional Markovian realizations for the stochastic volatility models. We illustrate … the theory by analyzing a number of concrete examples. -- HJM models ; stochastic volatility ; factor models ; forward …
Persistent link: https://www.econbiz.de/10001664233
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Properties of moments of a family of GARCH processes
He, Changli; Teräsvirta, Timo - 1997
Persistent link: https://www.econbiz.de/10000971355
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Statistical properties of the asymmetric power ARCH process
He, Changli; Teräsvirta, Timo - 1997
Persistent link: https://www.econbiz.de/10000971492
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Multivariate autoregressive conditional heteroskedasticity with smooth transitions in conditional correlations
Silvennoinen, Annastiina (contributor);  … - 2005 - [Elektronische Ressource], Rev. October 2005
; Dynamic conditional correlation ; Return comovement ; Volatility model evaluation …
Persistent link: https://www.econbiz.de/10002570445