This paper estimates a trivariate two-factor conditional version of the Intertemporal CAPM of Merton (1973).

This paper tests a conditional version of Adler and Dumas' (1983) International CAPM with regime switching GARCH parameters.

This paper delevops a tools to analyse the ordering of concordance of random vectors.

This papfer deals with distributional free inference to test for positive quadrant dependence, i.e. for the probability that two variables are simultaneously small (or large) being at least as great as it would be were they dependent.

Partial-least squares regression (PLS) is a statistical tool specifically designed to cope with problems like small datasets, missing values and the presence of multicollinearity . The paper proceeds first with a concise review of the PLS method.

In this paper we want to discuss macroscopic and microscopicproperties of financial markets. By analyzing quantitatively a database consisting of 13 minute per minute recorded financial time series, we identify some macroscopic statistical properties of the corresponding markets, with a special...

Time varying correlations are often estimated with Multivariate Garch models that are linear in squares and cross products of the data. A new class of multivariate models called dynamic conditional correlation (DCC) models is proposed.(...)

In this paper we investigate multlvariate risk portfolios, where the risks aredependent. By provMlng some natural models for risk portfohos with thesame marginal d~stnbut~ons we are able to compare two portfohos withd~flierent dependence structure with respect to their stop-loss premiums...

In his paper we introduce a quantile-based risk measure for multivariate financial positions: the vector-valued Tail-conditional-expectation (T CE). We adopt the framework proposed by Jouini, Meddeb, and Touzi [9] to deal with multi-assets portfolios when one accounts for frictions in the...

Der Beitrag schildert die Effekte von Antwortausfällen bei einzelnen Fragen („item non-response“) auf die Ergebnissevon multivariaten statistischen Analysen. Dabei wird das Verfahren der „Data Augmentation“ angewendet,um die fehlenden Daten zu ersetzen (Schafer 1997). Anhand von...