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

Lillestøl, Jostein - 2000 - Rev.

alternative for modelling financial data exhibiting skewness and fat tails. In this paper we explore the Bayesian estimation of …

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

Bayes estimates in multivariate semiparametric linear models

Bunke, Olaf - 2002

Bayes estimates are derived in multivariate linear models with unknown distribution. The prior distribution is defined using a Dirichlet prior for the unknown error distribution and a ormal-Wishart distribution for the parameters. The posterior distribution for the parameters is determined and...

Persistent link: https://www.econbiz.de/10009626682

Selfinformative limits of bayes estimates and generalized maximum likelihood

Bunke, Olaf (contributor); Johannes, Jan (contributor) - 2003 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10001919013

Testing for short and long-run causality : the case of the yield spread and economic growth

Breitung, Jörg; Candelon, Bertrand - 2001

is proposed to test for causality at different forecast horizons. Second, the framework of Geweke (1982) and Hosaya (1991 …) is used to construct a simple test for causality in the frequency domain. This methodology is applied to investigate the … low frequencies only. -- Causality ; Time series ; Frequency domain ; Prediction …

Persistent link: https://www.econbiz.de/10009617950

Nonparametric estimation and testing of interaction in additive models

Sperlich, Stefan; Tjostheim, Dag; Yang, Lijian - 1998

Estimation …

Persistent link: https://www.econbiz.de/10009574875

The Beveridge-Nelson decomposition : a different perspective with new results

Gómez, Víctor; Breitung, Jörg - 1998

We show in the paper that the decomposition proposed by Beveridge and Nelson (1981) for models that are integrated of order one can be generalized to seasonal Arima models by means of a partial fraction decomposition. Two equivalent algorithms are proposed to optimally (in the mean squared...

Persistent link: https://www.econbiz.de/10009577456

Volatility estimates of the short term interest rate with an application to German data

Dankenbring, Henning - 1998

This paper proposes a procedure for testing alternative specifications of the short term interest rate's dynamics which takes into account that according to some restrictions the interest rate is nonstationary, i.e. the traditional test statistic has a non-standard distribution. Moreover, we do...

Persistent link: https://www.econbiz.de/10009578570

Testing the diffusion coefficient

Kleinow, Torsten - 2002

In mathematical finance diffusion models are widely used and a variety of different parametric models for the drift and diffusion coefficient coexist in the literature. Since derivative prices depend on the particular parametric model of the diffusion coefficient function of the underlying, a...

Persistent link: https://www.econbiz.de/10009622677

Estimation and testing for varying coefficients in additive models with marginal integration

Yang, Lijian; Härdle, Wolfgang; Park, Byeong U. - 2002

We propose marginal integration estimation and testing methods for the coefficients of varying coefficient multivariate … regression model. Asymptotic distribution theory is developed for the estimation method which enjoys the same rate of convergence … as univariate function estimation. For the test statistic, asymptotic normal theory is established. These theoretical …

Persistent link: https://www.econbiz.de/10009627286

Comparison of bootstrap confidence intervals for impulse responses of German monetary systems

Benkwitz, Alexander; Lütkepohl, Helmut; Wolters, Jürgen - 1999

It is argued that standard impulse response analysis based on vector autoregressive models has a number of shortcomings. Although the impulse responses are estimated quantities, measures for sampling variability such as confidence intervals are often not provided. If confidence intervals are...

Persistent link: https://www.econbiz.de/10009580485

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