Neben einer theoretischen Analyse ausgewählter klassischer und moderner Performancemaße präsentieren wir in diesem Papier eine speziell zum Zweck der Performanceanalyse entwickelte Erweiterung des Funktionsumfanges von MS-Excel. Der vorgestellte VBA-Quellcode ermöglicht es, die beschriebenen...

In this article, we revisit the Friday the 13th effect discussed by Kolb and Rodriguez (1987) that has received increased interest in recent research. Using a dummy-augmented GARCH model, we investigate whether the occurrence of this superstitious calendar day has significant impact on the...

In this article, we revisit the Friday the 13th effect discussed by Kolb and Rodriguez (1987) that has received increased interest in recent research. Using a dummy-augmented GARCH model, we investigate whether the occurrence of this superstitious calendar day has significant impact on the...

Dieser Beitrag illustriert mittels Monte-Carlo-Simulation die Eigenschaften des OLS- und des IV-Schätzers, wenn die erklärende Variable im einfachen linearen Regressionsmodell endogen, d. h. mit dem Störterm des Modells korreliert ist. Insbesondere werden dabei die Verzerrung des...

In this study, we compare the out-of-sample forecasting performance of several modern Value-at- Risk (VaR) estimators derived from extreme value theory (EVT). Specifically, in a multi-asset study covering 30 years of stock, bond, commodity and currency market data, we analyse the accuracy of the...

We revisit and extend the study by Chordia et al. (2014) which documents that, in recent years, increased liquidity has significantly decreased exploitable returns of capital market anomalies in the US. Using a novel international dataset of arbitrage portfolio returns for four well-known...

We revisit and extend the study by Chordia et al. (2014) which documents that, in recent years, increased liquidity has significantly decreased exploitable returns of capital market anomalies in the US. Using a novel international dataset of arbitrage portfolio returns for four well-known...