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Adaptive estimation for a time inhomogeneous stochastic-volatility model

Härdle, Wolfgang; Spokojnyj, Vladimir G.; Teyssière, … - 2000

is the volatility coefficient which in turn obeys an autoregression type equation log v t = w + a S t- l + nt with an …

Persistent link: https://www.econbiz.de/10009582392

Stock performance around share repurchase announcements in Germany

Seifert, Udo (contributor) - 2003 - [Elektronische Ressource], draft

Persistent link: https://www.econbiz.de/10001917087

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 returns are significantly smaller than returns measured for the remaining days of the week calls the efficiency hypothesis for pricing processes operating on stock markets into...

Persistent link: https://www.econbiz.de/10009580468

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

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

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

Modeling the interdependence of volatility and inter-transaction duration processes

Grammig, Joachim; Wellner, Marc - 1999

simultaneous estimation of the interdependent duration-volatility model. In an empirical application we utilize the model for an … indirect test of the hypothesis that volatility is caused by private information that affects prices when informed investors … trade. The result that volatility shocks significantly increase expected inter-transaction durations supports this …

Persistent link: https://www.econbiz.de/10009579173

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

Risk premia and financial modelling without measure transformation

Platen, Eckhard - 2000

This paper describes a financial market modelling framework that exploits the notion of a deflator . The denominations of the deflator measured in units of primary assets form a minimal set of basic financial quantities that completely specify the overall market dynamics, where deflated asset...

Persistent link: https://www.econbiz.de/10009612031

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