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Should a skeptical portfolio insurer use an optimal or a risk-based multiplier?

Author

Listed:
  • Maxime Bonelli

    (Inria research centre Sophia Antipolis / Koris International)

  • Daniel Mantilla-Garcia

    (Edhec-Risk / Koris International)

Abstract

Following recent evidence of out-of-sample stock market return predictability, the authors aim to evaluate whether the potential benefits suggested by asset allocation theory can actually be captured in the real world using expected return estimates from a predictive system. The question is addressed in the context of an investor maximizing the long-term growth rate of wealth under a maximum drawdown constraint, and compare the optimal strategy using the predictive system with a similar risk-based allocation strategy independent of expected return estimates. The authors find that the risk-based strategy implies nonetheless very variable and relatively high expected returns, and report important potential benefits in using the expected return estimates of the predictive system they used.

Suggested Citation

  • Maxime Bonelli & Daniel Mantilla-Garcia, 2014. "Should a skeptical portfolio insurer use an optimal or a risk-based multiplier?," Proceedings of International Academic Conferences 0802327, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:iacpro:0802327
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    File URL: https://iises.net/proceedings/13th-international-academic-conference-antibes/table-of-content/detail?cid=8&iid=009&rid=2327
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    More about this item

    Keywords

    financial econometrics; return predictability; asset allocation; portfolio insurance.;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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