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Stock performance around share repurchase announcements in Germany

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

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

The market reaction to stock splits : evidence from Germany

Wulff, Christian - 1999

Although stock splits seem to be a purely cosmetic event, there exists ample empirical evidence from the United States that stock splits are associated with abnormal returns on both the announcement and the execution day, and additionally with an increase in variance following the ex-day. This...

Persistent link: https://www.econbiz.de/10009580473

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

Semiparametric estimation and prediction for time series cross sectional data

Bunke, Olaf - 1998

This paper discusses a methodology which uses time series cross sectional datafor the estimation of a time dependent regression function depending on explanatory variables and for the prediction of values of the dependent variable. The methodology assumes independent observations and is based on...

Persistent link: https://www.econbiz.de/10009578017

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

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

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

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

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