Zweck dieses Beitrags ist es, mehrperiodige Modelle für ein Exportunternehmen zu untersuchen, in denen sich eine einfache Export- und Absicherungspolitik als optimal erweist. Eine Politik ist besonders einfach, wenn sie myopisch ist, wenn sie also nur von der Wechselkursverteilung der...

In diesem Beitrag soll ein Überblick über den Handel von Kreditrisiken gegeben werden. Dazu werden die wichtigsten Instrumente vorgestellt ebenso wie die Entwicklung der zugehörigen Märkte. Die Vertragsgestaltung wird insbesondere aus dem Blickwinkel untersucht, negative Effekte von...

Although there has been much attention in recent years on the effects of additive background risks, the same is not true for its multiplicative counterpart. We consider random wealth of the multiplicative form xy, where x and y are statistically independent random variables. We assume that y is...

In this paper we propose a model for the conditional multivariate density of integer count variables defined on the set Zn. Applying the concept of copula functions, we allow for a general form of dependence between the marginal processes which is able to pick up the complex nonlinear dynamics...

This paper investigates dynamically optimal risk-taking by an expected-utility maximizing manager of a hedge fund. We examine the effects of variations on a compensation structure that includes a percentage management fee, a performance incentive for exceeding a specified highwater mark, and...

In this paper we develop a model for the conditional inflated multivariate density of integer count variables with domain Zn. Our modelling framework is based on a copula approach and can be used for a broad set of applications where the primary characteristics of the data are: (i) discrete...

We propose a unified framework for estimating integrated variances and covariances based on simple OLS regressions allowing for a general market microstructure noise specification. We show that our estimators can outperform in terms of the root mean squared error criterion the most recent and...

Modelling and forecasting the covariance of financial return series has always been a challenge due to the so-called curse of dimensionality. This paper proposes a methodology that is applicable in large dimensional cases and is based on a time series of realized covariance matrices. Some...