State price density (SPD) contains important information concerning market expectations. In existing literature, a constrained estimator of the SPD is found by nonlinear least squares in a suitable Sobolev space...

In this paper we have developed a financial model of the non-life insurer to provide assistance for the management of the insurance company in making decisions on product, investment and reinsurance mix. The model is based on portfolio theory and recognizes the stochastic nature of and the...

Der Strommarkt in Deutschland befindet sich seit einigen Jahren in einem Liberalisierungsprozess,der zu einem Anstieg der Strompreisvolatilität führt. Für Elektrizitätshandelsunternehmengewinnt damit das Management des Strompreisrisikos eine zentrale Bedeutung. Vordiesem Hintergrund...

Empirically, we show that the proportion of stocks exhibiting conditional heteroscedastic residuals, is high. We suggested to use the market model with GARCH(1,1) residuals in order to describe daily stock returns and derived a test statistics for the null hypothesis of no abnormal returns,...

Specific functional forms are often used in economic models of distributions;goodness-of-fit measures are used to assess whether a functional form is appropriatein the light of real-world data. Standard approaches use a distance criterion based onthe EDF, an aggregation of differences in...

This paper introduces a novel approach for dealing with the curse of dimensionality in thecase of large linear dynamic systems. Restrictions on the coefficients of an unrestricted VARare proposed that are binding only in a limit as the number of endogenous variables tends toinfinity...

This paper demonstrates the extensive scope of an alternative to standardinstrumental variables methods, namely covariate-based methods, for identifying and es-timating effects of interest in general structural systems. As we show, commonly usedeconometric methods, speci…cally parametric,...

This paper proposes several new tests for structural change in themultivariate linear regression model. One of the most popular alternatives are Sup-Wald type tests along the lines of Bai, Lumsdaine and Stock (1998), which Bernard,Idoudi, Khalaf and Yélou (2007) show to have very large size...