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Hedge fund predictability and optimal asset allocation

Author

Listed:
  • Ekaterini Panopoulou

    (University of Kent)

  • Theologos Pantelidis

    (University of Macedonia)

  • Spyridon Vrontos

    (University of Essex)

Abstract

The degree of both return and volatility hedge fund predictability is revealed using a regime switching framework. Optimal combinations of regime switching model forecasts allow us to capture the stylized facts of hedge fund returns and construct superior hedge fund return forecasts in the presence of parameter instability and model uncertainty. Our dataset consists of individual hedge fund data from the Barclays hedge fund database for the period January 1994 to December 2013. Our extensive set of predictors contains the Fung and Hsieh factors, factors related to style investing and to investment policies, macro related / business indicators variables and market-oriented factors. The economic value of the proposed predictability models is investigated by studying its effects on asset allocation and active portfolio management.

Suggested Citation

  • Ekaterini Panopoulou & Theologos Pantelidis & Spyridon Vrontos, 2015. "Hedge fund predictability and optimal asset allocation," Proceedings of International Academic Conferences 3105383, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:iacpro:3105383
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    File URL: https://iises.net/proceedings/20th-international-academic-conference-madrid/table-of-content/detail?cid=31&iid=073&rid=5383
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    More about this item

    Keywords

    Hedge fund predictability; regime switching model; asset allocation;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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