Consider the portfolio problem of choosing the mix between stocks and bonds under a downside risk constraint. Typically stock returns exhibit fatter tails than bonds corresponding to their greater downside risk. Downside risk criteria like the safety first criterion therefore often select corner...

Actual portfolios contain fewer stocks than are implied by standard financial analysis that balances the costs of diversification against the benefits in terms of the standard deviation of the returns. Suppose a safety first investor cares about downside risk and recognizes the heavytail feature...

The aim of this paper is to analyze the sensitivity of Value at Risk (VaR) with respect to portfolio allocation. We derive analytical expressions for the first and second derivatives of the Value at Risk, and explain how they can be used to simplify statistical inference and to perform a local...

Risk/return management has not only evolved as one of the key success factors for enterprisesespecially in the financial services industry, but is in the times of the financial crisis crucial for thesurvival of a company. It demands powerful and at the same time flexible computational...

Zur Unterstützung einer wertorientierten Unternehmensführung sowie zur Erfüllung regulatorischerTransparenzanforderungen und gesetzlicher Publizitätsverpflichtungen benötigen Unternehmungeneine unternehmensweit konsistente Datengrundlage mit Ertrags- und Risikoinformationen. Trotz...

Die tiefe Krise, in der sich der deutsche Finanzdienstleistungsmarktderzeit befindet, ist zum Teil auch auf fehlende theoretisch fundierte Marktbearbeitungsstrategiender Marktteilnehmer zurückzuführen. Der Wirtschaftsinformatik als Wissenschaft mitGestaltungsanspruch bieten sich gerade in...

This paper publishes results on the convergence for hedging strategies in the setting of incomplete financial markets.

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.