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Exchange Rate Risk: Heads or Tails

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  • Ana-Maria Gavril

Abstract

More than forty years ago researchers started to reconsider the behavior of financial data. Since then, stylized facts about financial returns have become common knowledge in economics. Characteristics as fat-tailedness, leptokurtosis and serial dependence have been extensively analyzed. As the financial world became focused on risk management and prudential supervision, various risk models have been developed. However, the first generation of risk models is highly dependent on rough assumptions, empirically contradicted, but embraced by practitioners as they benefit from a fairly easy implementation. In the context of market risk, such a proxy was developed under the name of Value at Risk, which rapidly became a standard measure for both risk managers and supervisors. The current state of affairs brings us one step closer to the death of VaR. The need for a new approach is imperative. This paper aims to bring new evidence to the limited performance of Value at Risk and test the fit of Extreme Value Theory as a complementary risk management tool for stressed market conditions, in the context of exchange rate risk. We use exchange rate returns of four currencies against the Euro and analyze the relative performance of several VaR models and Extreme Value Theory, respectively. We show that in extreme market conditions, extreme measures are required, and that no single measure can perform proper for both the centre and the tails of an exchange rate distribution.

Suggested Citation

  • Ana-Maria Gavril, 2009. "Exchange Rate Risk: Heads or Tails," Advances in Economic and Financial Research - DOFIN Working Paper Series 35, Bucharest University of Economics, Center for Advanced Research in Finance and Banking - CARFIB.
    • Handle: RePEc:cab:wpaefr:35
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    References listed on IDEAS

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    1. D. COLANDER & al., 2010. "The Financial Crisis and the Systemic Failure of Academic Economics," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 6.
    2. Michel Dacorogna & Peter Blum, 2003. "Extreme Moves in Foreign Exchange Rates and Risk Limit Setting," Risk and Insurance 0306004, University Library of Munich, Germany.
    3. Darryll Hendricks, 1996. "Evaluation of value-at-risk models using historical data," Economic Policy Review, Federal Reserve Bank of New York, vol. 2(Apr), pages 39-69.
    4. Gencay, Ramazan & Selcuk, Faruk & Ulugulyagci, Abdurrahman, 2003. "High volatility, thick tails and extreme value theory in value-at-risk estimation," Insurance: Mathematics and Economics, Elsevier, vol. 33(2), pages 337-356, October.
    5. Cotter, John & Dowd, Kevin, 2007. "The tail risks of FX return distributions: A comparison of the returns associated with limit orders and market orders," Finance Research Letters, Elsevier, vol. 4(3), pages 146-154, September.
    6. Brooks, C. & Clare, A.D. & Dalle Molle, J.W. & Persand, G., 2005. "A comparison of extreme value theory approaches for determining value at risk," Journal of Empirical Finance, Elsevier, vol. 12(2), pages 339-352, March.
    7. John Cotter, 2005. "Tail behaviour of the euro," Applied Economics, Taylor & Francis Journals, vol. 37(7), pages 827-840.
    8. Einmahl, J. H.J. & Dekkers, A. L.M. & de Haan, L., 1989. "A moment estimator for the index of an extreme-value distribution," Other publications TiSEM 81970cb3-5b7a-4cad-9bf6-2, Tilburg University, School of Economics and Management.
    9. Engle, Robert F. & Manganelli, Simone, 2001. "Value at risk models in finance," Working Paper Series 75, European Central Bank.
    10. Huisman, Ronald, et al, 2001. "Tail-Index Estimates in Small Samples," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 208-216, April.
    11. Jesus Gonzalo, 2004. "Which Extreme Values Are Really Extreme?," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 2(3), pages 349-369.
    12. Guy Kaplanski & Haim Levy, 2015. "Value-at-risk capital requirement regulation, risk taking and asset allocation: a mean-variance analysis," The European Journal of Finance, Taylor & Francis Journals, vol. 21(3), pages 215-241, February.
    13. McNeil, Alexander J., 1997. "Estimating the Tails of Loss Severity Distributions Using Extreme Value Theory," ASTIN Bulletin, Cambridge University Press, vol. 27(1), pages 117-137, May.
    14. Rockafellar, R. Tyrrell & Uryasev, Stanislav, 2002. "Conditional value-at-risk for general loss distributions," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1443-1471, July.
    15. Hols, Martien C A B & de Vries, Casper G, 1991. "The Limiting Distribution of Extremal Exchange Rate Returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(3), pages 287-302, July-Sept.
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    Keywords

    Extreme Value Theory; VaR;

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