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Risk Management in Emerging Markets: Practical Methodologies and Empirical Tests

Author

Listed:
  • Marios Nerouppos

    (Cyprus International Institute of Management, Cyprus)

  • David Saunders

    (University of Waterloo, Canada)

  • Costas Xiouros

    (University of Southern California, U.S.A.)

  • Stavros A. Zenios

    (University of Cyprus, Cyprus)

Abstract

Risk management has undergone a remarkable transformation over the past fifteen years, with most new methods having been designed for the concerns of large institutions operating in well-developed financial markets. This paper addresses a problem faced by smaller institutions operating in emerging markets, namely the significant lack of data. As many risk management techniques are data intensive, this problem may seem insurmountable. This paper introduces a new method, enriched historical simulation, which supplements the data in an emerging market with data from other markets. The principle behind this methodology is that when many markets are considered, the essence of emerging market economies comes to the fore, with local idiosyncrasies being washed out. This principle is illustrated on the problem of estimating Value-at-Risk on the Cyprus and Athens Stock Exchanges.

Suggested Citation

  • Marios Nerouppos & David Saunders & Costas Xiouros & Stavros A. Zenios, 2006. "Risk Management in Emerging Markets: Practical Methodologies and Empirical Tests," Multinational Finance Journal, Multinational Finance Journal, vol. 10(3-4), pages 179-221, September.
  • Handle: RePEc:mfj:journl:v:10:y:2006:i:3-4:p:179-221
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    References listed on IDEAS

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    1. Darryll Hendricks, 1996. "Evaluation of value-at-risk models using historical data," Proceedings 512, Federal Reserve Bank of Chicago.
    2. 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.
    3. Acerbi, Carlo, 2002. "Spectral measures of risk: A coherent representation of subjective risk aversion," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1505-1518, July.
    4. Acerbi, Carlo & Tasche, Dirk, 2002. "On the coherence of expected shortfall," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1487-1503, July.
    5. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    6. Engle, Robert F. & Manganelli, Simone, 2001. "Value at risk models in finance," Working Paper Series 75, European Central Bank.
    7. 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.
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    Citations

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    Cited by:

    1. Hilmar Tor Hilmarsson & Trung Quang Dinh, 2013. "Can Export Credit Agencies Facilitate Cross Border Trade to Emerging Markets and Help Increase Investments and Innovations in Their Food Processing Industries?," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 2(3), pages 176-186.
    2. Trung Quang DINH & Hilmar Þor HILMARSSON, 2012. "Private Sector Export to Emerging Market Economies During Times of Crisis: How Can Export Credit Agencies Help?," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 167-180, March.

    More about this item

    Keywords

    risk management; historical simulation; value-at-risk; emerging markets;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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