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The Stress VaR: A New Risk Concept for Extreme Risk and Fund Allocation

Author

Listed:
  • Cyril Coste

    (ENS Cachan - École normale supérieure - Cachan)

  • Raphaël Douady

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Ilija I. Zovko

    (CeNDEF - Center for Nonlinear Dynamics in Economics and Finance - UvA - Universiteit van Amsterdam = University of Amsterdam)

Abstract

In this article the authors introduce an approach to risk estimation based on nonlinear factor-models--the "StressVaR" (SVaR). Developed to evaluate the risk of hedge funds, the SVaR appears to be applicable to a wide range of investments. The computation of the StressVaR is a three-step procedure whose main component is to use the fairly short and sparse history of the hedge fund returns to identify relevant risk factors among a very broad set of possible risk sources. This risk profile is obtained by calibrating a polymodel, which is a collection of nonlinear single-factor models, as opposed to a single multi-factor model. The authors then use the risk profile and the very long and rich history of the factors to assess the possible impact of known past crises on the funds, unveiling their hidden risks and so called "black swans."

Suggested Citation

  • Cyril Coste & Raphaël Douady & Ilija I. Zovko, 2011. "The Stress VaR: A New Risk Concept for Extreme Risk and Fund Allocation," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00666234, HAL.
    • Handle: RePEc:hal:cesptp:hal-00666234
    DOI: 10.3905/jai.2011.13.3.010
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    Cited by:

    1. Xingxing Ye & Raphael Douady, 2018. "Systemic Risk Indicators Based on Nonlinear PolyModel," JRFM, MDPI, vol. 12(1), pages 1-24, December.
    2. Rachida Hennani & Michel Terraza, 2015. "Contributions of a noisy chaotic model to the stressed Value-at-Risk," Economics Bulletin, AccessEcon, vol. 35(2), pages 1262-1273.
    3. Xingxing Ye & Raphaël Douady, 2019. "Risk and Financial Management Article Systemic Risk Indicators Based on Nonlinear PolyModel," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02488592, HAL.
    4. Raphaël Douady, 2019. "Managing the Downside of Active and Passive Strategies: Convexity and Fragilities," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-02488589, HAL.
    5. Siqiao Zhao & Zhikang Dong & Zeyu Cao & Raphael Douady, 2024. "Hedge Fund Portfolio Construction Using PolyModel Theory and iTransformer," Papers 2408.03320, arXiv.org, revised Feb 2025.

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