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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

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

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

Semiparametric bootstrap approach to hypothesis tests and confidence intervals for the hurst coefficient

Hall, Peter; Härdle, Wolfgang; Kleinow, Torsten; … - 1999

A major application of rescaled adjusted range analysis (RS analysis) is the study of price fluctuations in financial markets. There, the value of the Hurst constant, H, in a time series may be interpreted as an indicator of the irregularity of the price of a commodity, currency or similar...

Persistent link: https://www.econbiz.de/10009581110

On the (nonlinear) relationship between exchange rate uncertainty and trade : an investigation of US trade figures in the Group of Seven

Herwartz, Helmut (contributor) - 2003 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10001918978

The dynamics of implied volatilities : a common principal components approach

Fengler, Matthias R.; Härdle, Wolfgang; Villa, Christophe - 2001

maturities and moneyness dimension is neglected. In this paper we propose to estimate the implied volatility surface at each … point in time nonparametrically and to analyze the implied volatility surface slice by slice with a common principal … study a p variate random vector of k groups, say the "volatility smile" at p different grid points of moneyness for k …

Persistent link: https://www.econbiz.de/10009613597

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

Extracting implicit density functions from short term interest rate options

Nielsen, Hannah - 2001

Using option prices the expectations of the market participants concerning the underlying asset can be extracted as well as the uncertainty surrounding these expectations. In this paper a mixture of lognormal density functions will be assumed to analyze options on three-month Euribor futures for...

Persistent link: https://www.econbiz.de/10009614294

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