This paper re-examines two volatility-related patterns in the cross-section of stock option returns: the low-volatility effect and the expensiveness effect. Intermediary asset pricing theory suggests specific linkages between these effects. As our empirical results show, the low-volatility...

Derivatives strategies that aim to earn variance risk premiums are exposed to sharp price declines during market crises, calling into question their suitability for the longterm investor. Our paper defines, analyzes, and proposes potential solutions to three problems (payoff, leverage and finite...

This paper studies quantile-based moment premiums. The quantile-based approach delivers robust and flexible alternatives to premiums for variance, skewness and kurtosis risk and enhances our understanding of the pricing of risks in derivatives markets. To quantify these premiums, the paper...

In this paper we investigate Metallgesellschaft’s problem of hedging long-term forwards with short-term futures. Very different hedging strategies have been proposed in the literature. We attribute these differences to the underlying valuation approaches for oil futures and empirically compare...

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...

Im Laufe des Jahres 1993 war die Metallgesellschaft Refining & Marketing (MGRM), eine US-amerikanische Tochtergesellschaft der Metallgesellschaft AG, in großem Umfang die Verpflichtung eingegangen, langfristig Öl zu Festpreisen zu liefern. Das dadurch entstehende Preisrisiko sollte über...

In this paper we empirically analyze the permanent price impact of trades by investigating the relation between unexpected net order flow and price changes. We use intraday data on German index futures. Our analysis based on a neural network model suggests that the assumption of a linear impact...

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...