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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 …
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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Forecasting the real output using fractionally integrated techniques
Gil-Alaña, Luis A. - 2001
The annual structure of the real GDP in the UK, France, Germany and Italy is examined in this article by means of fractionally integrated techniques. Using a version of a testing procedure due to Robinson (1994), we show that the series can be specified in terms of I(d) statistical models with d...
Persistent link: https://www.econbiz.de/10009613608
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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
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A local instrumental estimation method for generalized additive volatility models
Kim, Woocheol; Linton, Oliver - 2000
already discussed in the literature. We also propose a new estimation procedure based on a localization of the econometric …
Persistent link: https://www.econbiz.de/10009612037
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Testing stochastic cycles in macroeconomic time series
Gil-Alaña, Luis A. - 2000
A particular version of the tests of Robinson (1994) for testing stochastic cycles in macroeconomic time series is proposed in this article. The tests have a standard limit distribution and are easy to implement in raw time series. A Monte Carlo experiment is conducted, studying the size and the...
Persistent link: https://www.econbiz.de/10009611541
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Financial price fluctuations in a stock market model with many interacting agents
Horst, Ulrich - 2001
We consider a financial market model with a large number of interacting agents. Investors are heterogeneous in their expectations about the future evolution of an asset price process. Their current expectation is based on the previous states of their "neighbors" and on a random signal about the...
Persistent link: https://www.econbiz.de/10009613599
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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
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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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Time inhomogeneous multiple volatility modelling
Härdle, Wolfgang; Herwartz, Helmut; Spokojnyj, Vladimir G. - 2001
to a parametric approach, namely the multivariate GARCH model. -- stochastic volatility model ; adaptive estimation … assets, stock market indices, exchange rates etc. A particular problem in investigating multivariate volatility processes … arises from the high dimensionality implied by a simultaneous analysis of variances and covariances. Parametric volatility …
Persistent link: https://www.econbiz.de/10009612567