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Modelling exchange rates volatility with multivariate long-memory ARCH processes
Teyssière, Gilles - 1999 - Rev.
, and the Deutschmark-US dollar. The estimation results for both models show: (i) that the unrestricted model outperforms …
Persistent link: https://www.econbiz.de/10009579181
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Semiparametric estimation of the intensity of long memory in conditional heteroskedasticity
Giraitis, Liudas; Kokoszka, Piotr; Leipus, Remigijus; … - 1999
The paper is concerned with the estimation of the long memory parameter in a conditionally heteroskedastic model … models ; semiparametric estimation ; modified R/S ; KPSS and V/S statistics ; periodogram …
Persistent link: https://www.econbiz.de/10009581091
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Modeling the US short-term interest rate by mixture autoregressive processes
Lanne, Markku; Saikkonen, Pentti - 2000
capturing both of the typical characteristics of the short-term interest rate: volatility persistence and the dependence of …
Persistent link: https://www.econbiz.de/10009612047
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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
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Option pricing under linear autoregressive dynamics, heteroskedasticity, and conditional leptokurtosis
Hafner, Christian M.; Herwartz, Helmut - 1999
linear AR(l) conditional mean, one may ask how this predictability affects option prices. We investigate the dependence of …
Persistent link: https://www.econbiz.de/10009580460
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Flexible stochastic volatility structures for high frequency financial data
Feldmann, David; Härdle, Wolfgang; Hafner, Christian M.; … - 1998
Stochastic Volatility (SV) models are widely used in financial applications. To decide whether standard parametric restrictions are justified for a given dataset, a statistical test is required. In this paper, we develop such a test based on the linear state space representation. We provide a...
Persistent link: https://www.econbiz.de/10009578026
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Semiparametric diffusion estimation and application to a stock market index
Härdle, Wolfgang; Kleinow, Torsten; Korostelev, … - 2001
The analysis of diffusion processes in financial models is crucially dependent on the form of the drift and diffusion coefficient functions. A methodology is proposed for estimating and testing coefficient functions for ergodic diffusions that are not directly observable. It is based on...
Persistent link: https://www.econbiz.de/10009613611
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Semiparametric modelling of the cross-section of expected returns in the German stock market
Stehle, Richard; Bunke, Olaf; Sommerfeld, Volker - 1997
According to the Sharpe-Lintner capital asset pricing model, expected rates of return on individual stocks differ only because of their different levels of non-diversifiable risk (beta). However, Fama/French (1992) show that the two variables size and book-to-market ratio capture the...
Persistent link: https://www.econbiz.de/10009661022
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Weekday dependence of German stock market returns
Herwartz, Helmut - 1999
The so-called 'Monday effect ' has been found for various stock markets of the world. The empirical finding that Monday … exchange the paper compares estimation results of parametric and nonparametric autoregressive models with respect to possible … weekday dependence of return data. Allowing for heteroskedastic error distributions the wild bootstrap is used to infer …
Persistent link: https://www.econbiz.de/10009580468
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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