We develop a model of illiquidity transmission from spot to futures markets that formalizes the derivative hedge theory of Cho and Engle (1999). The model shows that spot market illiquidity does not translate one to one to the futures market but, rather, interacts with price risk, liquidity...

In this paper we apply statistical inference techniques to build neural network models which are able to explain the prices of call options written on the German stock index DAX. By testing for the explanatory power of several input variables serving as network inputs, some insight into the...

In this article we examine how model selection in neural networks can be guided by statistical procedures such as hypotheses tests, information criteria and cross validation. The application of these methods in neural network models is discussed, paying attention especially to the identification...

Diese Arbeit vergleicht verschiedene Verfahren zur Nachbildung von Aktienindizes. Eine solche Nachbildung stellt ein wichtiges Problem sowohl im passiven Portfoliomanagement als auch bei der Ausführung von Index-Arbitrage dar. Es werden unterschiedliche Kriterien abgeleitet, nach denen sich...

Die vorliegende Studie untersucht den Zusammenhang zwischen Arbitragetätigkeit und Preisführerschaft eines Marktes anhand Kursänderungen des DAX und des DAX-Futures. Dem Gleichgewichtsmodell von Garbade/Silber (1983) folgend wird der Einfluß (imperfekter) Arbitragetätigkeit auf die...

This paper compares several investment strategies designed to exploit the low-beta anomaly. Although the notion of buying low-beta stocks and selling high-beta stocks is natural, a choice is necessary with respect to the relative weighting of high-beta stocks and low-beta stocks in the...

Option-implied betas are a promising alternative to historical beta estimators, because they are inherently forward-looking and can incorporate new information immediately and fully. Recently, different implied beta estimators have been developed in previous literature, but very little is known...

The intangible costs of data breach events encompass for instance the loss of investor confidence, reputational damage and loss of competitive advantage. Yet, existing literature sheds light on this phenomenon only to a limited extent due to methodological challenges related to the estimation of...