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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

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

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

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 …-transaction duration process and vice versa. In order to solve the estimation problems implied by this interdependent formulation, we first … propose a GMM estimation procedure for the Autoregressive Conditional Duration model. The method is then extended to the …

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

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

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

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 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

Weekday dependence of German stock market returns

Herwartz, Helmut - 1999

exchange the paper compares estimation results of parametric and nonparametric autoregressive models with respect to possible …

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

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