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Can asset allocation limits determine portfolio risk–return profiles in DC pension schemes?

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  • Gutierrez, Tomás
  • Pagnoncelli, Bernardo
  • Valladão, Davi
  • Cifuentes, Arturo

Abstract

In defined contribution (DC) pension schemes, the regulator usually imposes asset allocation constraints (minimum and maximum limits by asset class) in order to create funds with different risk–return profiles. In this article, we challenge this approach and show that such funds can exhibit erratic risk–return profiles that deviate significantly from the intended design. We propose to replace all minimum and maximum asset allocation constraints by a single risk metric (or measure) that controls risk directly. Thus, funds with different risk–return profiles can be immediately created by adjusting the risk tolerance parameter accordingly. Using data from the Chilean DC pension system, we show that our approach generates funds whose risk–return profiles are consistently ordered according to the intended design, and outperforms funds created by means of asset allocation limits.

Suggested Citation

  • Gutierrez, Tomás & Pagnoncelli, Bernardo & Valladão, Davi & Cifuentes, Arturo, 2019. "Can asset allocation limits determine portfolio risk–return profiles in DC pension schemes?," Insurance: Mathematics and Economics, Elsevier, vol. 86(C), pages 134-144.
    • Handle: RePEc:eee:insuma:v:86:y:2019:i:c:p:134-144
    DOI: 10.1016/j.insmatheco.2019.02.009
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    References listed on IDEAS

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    Cited by:

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    2. Achintya Gopal, 2024. "NeuralFactors: A Novel Factor Learning Approach to Generative Modeling of Equities," Papers 2408.01499, arXiv.org.
    3. Torraca, Ana Patrícia & Fanzeres, Bruno, 2021. "Optimal insurance contract specification in the upstream sector of the oil and gas industry," European Journal of Operational Research, Elsevier, vol. 295(2), pages 718-732.

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