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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

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

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

Modelling exchange rates volatility with multivariate long-memory ARCH processes

Teyssière, Gilles - 1999 - Rev.

We consider two multivariate long-memory ARCH models, which extend the univariate long-memory ARCH models, we first consider a long-memory extension of the restricted constant conditional correlations (CCC) model introduced by Bollerslev (1990), and we propose a new unrestricted conditional...

Persistent link: https://www.econbiz.de/10009579181

Multivariate volatility models

Fengler, Matthias R.; Herwartz, Helmut - 2001

Multivariate Volatility Models belong to the class of nonlinear models for financial data. Here we want to focus on …

Persistent link: https://www.econbiz.de/10009615423

Time inhomogeneous multiple volatility modelling

Härdle, Wolfgang; Herwartz, Helmut; Spokojnyj, Vladimir G. - 2001

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 … to a parametric approach, namely the multivariate GARCH model. -- stochastic volatility model ; adaptive estimation …

Persistent link: https://www.econbiz.de/10009612567

Manipulation in political stock markets : preconditions and evidence

Hansen, Jan; Schmidt, Carsten; Strobel, Martin - 2001

Political stock markets (PSM) are sometimes seen as substitutes for opinion polls. On the bases of a behavioral model, specific preconditions were drawn out under which manipulation in PSM can weaken this argument. Evidence for manipulation is reported from the data of two separate PSM during...

Persistent link: https://www.econbiz.de/10009614875

Ergodic fluctuations in a stock market model with interacting agents : the mean field case

Horst, Ulrich - 1999

We consider a financial market model with interacting agents and study the long run behaviour of both aggregate behaviour and equilibrium prices. Investors are heterogeneous in their price expectations and they get stochastic signals about the "mood" of the market described by the empirical...

Persistent link: https://www.econbiz.de/10009582400

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

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