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Long‐Term Value at Risk

Author

Listed:
  • KEVIN DOWD
  • DAVID BLAKE
  • ANDREW CAIRNS

Abstract

This paper investigates the estimation of long-term VaR. It also suggests a simple approach to the estimation of long-term VaR that avoids problems associated with the square-root rule for extrapolating VaR, as well as those associated with attempts to extrapolate day-to-day volatility forecasts over longer horizons.
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Suggested Citation

  • Kevin Dowd & David Blake & Andrew Cairns, 2004. "Long‐Term Value at Risk," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 5(2), pages 52-57, February.
    • Handle: RePEc:eme:jrfpps:eb022986
    DOI: 10.1108/eb022986
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    Cited by:

    1. Santanu Dutta & Tushar Kanti Powdel, 2023. "Modeling Long Term Return Distribution and Nonparametric Market Risk Estimation," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 257-289, May.
    2. Dariusz Stanko, 2003. "Polish Pension Funds, Does The System Work? Cost, Efficiency and Performance MeasurementIssues," Public Economics 0302001, University Library of Munich, Germany.
    3. Al Janabi, Mazin A. M., 2009. "Asset Market Liquidity Risk Management: A Generalized Theoretical Modeling Approach for Trading and Fund Management Portfolios," MPRA Paper 19498, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • G00 - Financial Economics - - General - - - General

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