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Targets, Predictability, and Performance

Author

Listed:
  • Francisco Peñaranda

    (Queens College, CUNY, Flushing, New York 11367)

  • Liuren Wu

    (Baruch College, CUNY, New York, New York 10010)

Abstract

We study market-timing strategies on a given portfolio to achieve a particular risk or return target. Targeting a constant risk level leads to increasing investment at better investment opportunities, whereas targeting a constant expected return does the opposite. Theoretical and numerical analysis shows that within the usual ranges of investment opportunities, risk targeting generates better unconditional performance than return targeting across a wide range of metrics. Empirical analysis with commonly constructed stock portfolios further highlights the practical infeasibility of return targeting due to the inherently low out-of-sample predicting power. By contrast, risk targeting tends to enhance unconditional stability and performance.

Suggested Citation

  • Francisco Peñaranda & Liuren Wu, 2022. "Targets, Predictability, and Performance," Management Science, INFORMS, vol. 68(2), pages 1537-1555, February.
  • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:2:p:1537-1555
    DOI: 10.1287/mnsc.2020.3904
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    References listed on IDEAS

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    Cited by:

    1. Francisco Peñaranda & Enrique Sentana, 2024. "Portfolio management with big data," Working Papers wp2024_2411, CEMFI.

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