Die vorliegende Arbeit untersucht Tests auf stochastische Dominanz, welche ein grundlegendes Konzept der Entscheidungstheorie ist. Hierbei konzentrieren wir uns auf stochastische Dominanz erster und zweiter Ordnung. Diese sind die beiden wichtigsten Entscheidungsregeln und finden Anwendung in...

This paper serves two purposes. First, we introduce a new data set on the German stock market which is publicly available to all researchers. It comprises factor returns (a market factor, a size factor, a book-to-market factor, and a momentum factor) as well as returns of portfolios which are...

This paper studies the persistence of daily returns of 21 German stocks from 1960 to 2008. We apply a widely used test based upon the modified R/S-Method by Lo [1991]. As an extension to Lux [1996] and Carbone et al. [2004] and in analogy to moving average or moving volatility, the statistics is...

It is well known that the arithmetic mean of two possibly different copulas forms a copula, again. More general, we focus on the weighted power mean (WPM) of two arbitrary copulas which is not necessary a copula again, as different counterexamples reveal. However, various conditions regarding...

Persistence of stock returns is an extensively studied and discussed theme in the analysis of financial markets. Antipersistence is usually attributed to volatilities. However, not only volatilities but also stock returns can exhibit antipersistence. Antipersistent noise has a somewhat rougher...

It is well known that the arithmetic mean of two possibly different copulas forms a copula, again. More general, we focus on the weighted power mean (WPM) of two arbitrary copulas which is not necessary a copula again, as different counterexamples reveal. However, various conditions regarding...

This paper extends the popular Diebold-Mariano test to situations when the forecast error loss differential exhibits long memory. It is shown that this situation can arise frequently, since long memory can be transmitted from forecasts and the forecast objective to forecast error loss...