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Volatility forecasting in practice: exploratory evidence from European hedge funds

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  • Max Schreder

    (University of London)

Abstract

This note provides survey evidence of volatility forecasting practices in a number of European hedge funds. Results confirm the academic consensus that option-implied volatility (IV) is a commonly used risk management and volatility forecasting tool among “sophisticated” investors, but also highlight the great popularity of simple historical models, whereas stochastic models are of lesser relevance. Sensible, market sentiment capturing forecasting solutions that reduce model complexity are not only demanded, but are also already implemented by a number of practitioners. The development of multi-model forecasting solutions that combine historical and IV information into a reliable predictor of volatility appears to be a promising path for research.

Suggested Citation

  • Max Schreder, 2018. "Volatility forecasting in practice: exploratory evidence from European hedge funds," Journal of Asset Management, Palgrave Macmillan, vol. 19(4), pages 245-258, July.
    • Handle: RePEc:pal:assmgt:v:19:y:2018:i:4:d:10.1057_s41260-018-0082-y
    DOI: 10.1057/s41260-018-0082-y
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    References listed on IDEAS

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    1. Ser-Huang Poon & Clive W.J. Granger, 2003. "Forecasting Volatility in Financial Markets: A Review," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 478-539, June.
    2. Bent Jesper Christensen & Charlotte Strunk Hansen, 2002. "New evidence on the implied-realized volatility relation," The European Journal of Finance, Taylor & Francis Journals, vol. 8(2), pages 187-205, June.
    3. Peter F. Christoffersen & Francis X. Diebold, 2000. "How Relevant is Volatility Forecasting for Financial Risk Management?," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 12-22, February.
    4. Josh Lerner & Antoinette Schoar, 2005. "Does Legal Enforcement Affect Financial Transactions? The Contractual Channel in Private Equity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 223-246.
    5. John F. Garvey & Liam A. Gallagher, 2012. "The Realised–Implied Volatility Relationship: Recent Empirical Evidence from FTSE‐100 Stocks," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 31(7), pages 639-660, November.
    6. Lamoureux, Christopher G & Lastrapes, William D, 1993. "Forecasting Stock-Return Variance: Toward an Understanding of Stochastic Implied Volatilities," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 293-326.
    7. Franck Bancel & Usha R. Mittoo, 2004. "Why Do European Firms Issue Convertible Debt?," European Financial Management, European Financial Management Association, vol. 10(2), pages 339-373, June.
    8. Manuel Ammann & Michael Verhofen & Stephan Süss, 2009. "Do implied volatilities predict stock returns?," Journal of Asset Management, Palgrave Macmillan, vol. 10(4), pages 222-234, October.
    9. Graham, John R. & Harvey, Campbell R., 2001. "The theory and practice of corporate finance: evidence from the field," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 187-243, May.
    10. Christensen, B. J. & Prabhala, N. R., 1998. "The relation between implied and realized volatility," Journal of Financial Economics, Elsevier, vol. 50(2), pages 125-150, November.
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    More about this item

    Keywords

    Hedge funds; Volatility forecasting in practice; Survey evidence;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies

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