[...]The purpose of this article is to build on this earlier work, bythe Basel Committee and others, and to consider the issues thatwould have to be addressed in developing a regulatory minimumcapital standard based on banks’ internal credit risk models. Inconducting this exercise, we consider...

[...]This paper examines some of the potential consequences ofGLB for the structure of the U.S. financial services industry. Init, we ask how the industry may evolve as this new legislationinteracts with the consolidation trend already under way, whattypes of mergers are most likely to occur,...

[...]In this paper, we therefore consider how riskmeasures, based on internal models of this type, might beintegrated into a firm’s own methodology for allocatingrisk capital to its individual business units and for determiningits optimal capital structure. We also consider theimplications of...

We give an explicit PDE characterization for the solution of the problemof maximizing the utility of both terminal wealth and intertemporal consumption under model uncertainty. The underlying market model consists of a risky asset, whose volatility and long-term trend are driven by an external...

Natural catastrophes attract regularly the attention of media and have become a source of public concern. From a financial viewpoint, natural catastrophes represent idiosyncratic risks,diversifiable at the world level. But for reasons analyzed in this pap er reinsurance markets are unable to...

Economic cycles are the key credit portfolio risk driver and they are autocorrelated over time. We then show that it is economically meaningful to define risk for credit portfolios in a multi period setup. Since one period expected shortfall fails to measure risk adequately in a multi period...

We study the dynamic utility indifference value process p(X) when the usefulness of X is evaluated via a dynamic monetary concave utility functional (DMCUF) instead of von Neumann/Morgenstern expected utility. A DMCUF is minus a dynamic convex risk measure. The key tools for our investigations...

Measuring and modeling financial volatility is the key to derivative pricing, asset allocation and risk management. The recent availability of high-frequency data allows for refined methods in this field. In particular, more precise measures for the daily or lower frequency volatility can be...

Recently, Frittelli and Scandolo ([9]) extend the notion of risk measures, originally introduced by Artzner, Delbaen, Eber and Heath ([1]), to the risk assessment of abstract financial positions, including pay offs spread over different dates, where liquid derivatives are admitted to serve as...