Kimball's Prudence and Two-Fund Separation as Determinants of Mutual Fund Performance Evaluation We consider investors with mean-variance-skewness preferences who aim at selecting one out of F different funds and combining it optimally with the riskless asset and direct stock holdings. Direct...

Direkte Aktienengagements von Investoren und Performancemessung für Investmentfonds Performancemaße werden von Investoren insbesondere als Mittel zur Selektion von Investmentfonds im Rahmen von Ex-ante-Optimierungen verwandt. Unglücklicherweise existieren verschiedene Performancemaße für...

Reinsurance and CAT bonds are two alternative risk management instruments used by insurance companies. Insurers should be indifferent between the two instruments in a perfect capital market. However, the theoretical literature suggests that insured risk characteristics and market imperfections...

Enhanced machine learning methods provide an encouraging alternative to forecast asset prices by extending or generalizing the possible model specifications compared to conventional linear regression methods. Even if enhanced methods of machine learning in the literature often lead to better...

Konzentrationsrisiken unter Basel II: Wann sind Kreditportfolios unendlich granular? Die Diskussion hinsichtlich Kredit-Konzentrationsrisiken wird hauptsächlich durch die Anforderungen an das Kreditrisikomanagement getrieben, wie diese in Säule 2 von Basel II formuliert sind. So fordert Säule...

This article studies discrimination in a model in which promotions are used as signals of worker ability. The model can account for statistical and taste-based discrimination. In the short run, a positive discrimination policy is beneficial for workers in the middle of the ability distribution,...

The literature finds that cultural differences have a negative impact on the success of international labor migration. However, modeling cultural effects requires a variety of individual-level, firm-level and country-level data that are not sufficiently considered in the literature. Precisely,...

The main challenge in empirical asset pricing is forecasting the future value of assets traded in financial markets with a high level of accuracy. Because machine learning methods can model relationships between explanatory and dependent variables based on complex, non-linear, and/or...

Comparative studies investigating the estimation accuracy of statistical methods often arrive at different conclusions. Therefore, it remains unclear which method is best suited for a particular estimation task. While this problem exists in many areas of predictive analytics, it has particular...