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Modelling exchange rates volatility with multivariate long-memory ARCH processes

Teyssière, Gilles - 1999 - Rev.

We consider two multivariate long-memory ARCH models, which extend the univariate long-memory ARCH models, we first consider a long-memory extension of the restricted constant conditional correlations (CCC) model introduced by Bollerslev (1990), and we propose a new unrestricted conditional...

Persistent link: https://www.econbiz.de/10009579181

Multivariate volatility models

Fengler, Matthias R.; Herwartz, Helmut - 2001

Multivariate Volatility Models belong to the class of nonlinear models for financial data. Here we want to focus on …

Persistent link: https://www.econbiz.de/10009615423

On the (nonlinear) relationship between exchange rate uncertainty and trade : an investigation of US trade figures in the Group of Seven

Herwartz, Helmut (contributor) - 2003 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10001918978

Bayesian estimation of NIG-parameters by Markov Chain Monte Carlo Methods

Lillestøl, Jostein - 2000 - Rev.

The Normal Inverse Gaussian (NIG) distribution recently introduced by Barndorff-Nielsen (1997) is a promising alternative for modelling financial data exhibiting skewness and fat tails. In this paper we explore the Bayesian estimation of NIG-parameters by Markov Chain Monte Carlo Methods. --...

Persistent link: https://www.econbiz.de/10009612011

A note on stochastic volatility, GARCH models, and hyperbolic distributions

Jaschke, Stefan R. - 1997

We establish a relation between stochastic volatility models and the class of generalized hyperbolic distributions …

Persistent link: https://www.econbiz.de/10009577459

Nonlinear GARCH models for highly persistent volatility

Lanne, Markku; Saikkonen, Pentti - 2002

In this paper we study new nonlinear GARCH models mainly designed for time series with highly persistent volatility …. For such series, conventional GARCH models have often proved unsatisfactory because they tend to exaggerate volatility …

Persistent link: https://www.econbiz.de/10009621424

Statistical inference for time-inhomogeneous volatility models

Mercurio, Danilo; Spokojnyj, Vladimir G. - 2002

This paper offers a new approach for estimation and forecasting of the volatility of financial time series. No … assumption is made about the parametric form of the processes, on the contrary we only suppose that the volatility can be … homogeneity, then the estimate of the volatility can be simply obtained by local averaging. We construct a locally adaptive …

Persistent link: https://www.econbiz.de/10009626679

Option pricing under linear autoregressive dynamics, heteroskedasticity, and conditional leptokurtosis

Hafner, Christian M.; Herwartz, Helmut - 1999

prices caused by stochastic volatility. -- option pricing ; autoregression ; heteroskedasticity ; GARCH ; leverage effect …

Persistent link: https://www.econbiz.de/10009580460

A local instrumental estimation method for generalized additive volatility models

Kim, Woocheol; Linton, Oliver - 2000

We investigate a new separable nonparametric model for time series, which includes many ARCH models and AR models already discussed in the literature. We also propose a new estimation procedure based on a localization of the econometric method of instrumental variables. Our method has...

Persistent link: https://www.econbiz.de/10009612037

Cointegrating smooth transition regressions with applications to the Asian currency crisis

Saikkonen, Pentti; Choi, In - 2000

This paper studies the smooth transition regression model where regressors are I(1) and errors are I(0). The regressors and errors are assumed to be dependent both serially and contemporaneously. Using the triangular array asymptotics, the nonlinear least squares estimator is shown to be...

Persistent link: https://www.econbiz.de/10009612025