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The Tail that Wags the Dog: Integrating Credit Risk in Asset Portfolios

NORBERT J. JOBST (Fellow at the HERMES Center on Computational Finance and Economics, University of Cyprus, in Nicosia, Cyprus, and Ph.D. candidate, Department of Mathematical Sciences, Brunei University, West London, UK.)
STAVROS A. ZENIOS (Professor and director of the HERMES Center on Computational Finance and Economics, University of Cyprus, Director of RiskLab, Cyprus International Institute of Management and Senior Fellow at the Financial Institutions Center, the Wharton School in Philadelphia, PA.)

Journal of Risk Finance

ISSN: 1526-5943

Article publication date: 1 April 2001

244

Abstract

Tails probabilities are of paramount importance in shaping the risk profile of portfolios with credit risk sensitive securities. In this context, risk management tools require simulations that accurately capture the tails, and optimization models that limit tail effects. Ignoring tail events in the simulation or using inadequate optimization metrics can have significant effects and reduce portfolio efficiency. The resulting portfolio risk profile can be grossly misrepresented when long‐run performance is optimized without accounting for short‐term tail effects. This article illustrates pitfalls and suggests models to avoid them.

Citation

JOBST, N.J. and ZENIOS, S.A. (2001), "The Tail that Wags the Dog: Integrating Credit Risk in Asset Portfolios", Journal of Risk Finance, Vol. 3 No. 1, pp. 31-43. https://doi.org/10.1108/eb043481

Publisher

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MCB UP Ltd

Copyright © 2001, MCB UP Limited

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