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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.

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  • 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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    1. Guastaroba, Gianfranco & Mansini, Renata & Speranza, M. Grazia, 2009. "On the effectiveness of scenario generation techniques in single-period portfolio optimization," European Journal of Operational Research, Elsevier, vol. 192(2), pages 500-511, January.
    2. Sebastian Edwards, 1998. "The Chilean Pension Reform: A Pioneering Program," NBER Chapters, in: Privatizing Social Security, pages 33-62, National Bureau of Economic Research, Inc.
    3. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    4. Pagnoncelli, Bernardo K. & Cifuentes, Arturo & Denis, Gabriela, 2017. "A two-step hybrid investment strategy for pension funds," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 574-583.
    5. Lusardi, Annamaria (ed.), 2009. "Overcoming the Saving Slump," University of Chicago Press Economics Books, University of Chicago Press, number 9780226497099, September.
    6. Fernandes, Betina & Street, Alexandre & Valladão, Davi & Fernandes, Cristiano, 2016. "An adaptive robust portfolio optimization model with loss constraints based on data-driven polyhedral uncertainty sets," European Journal of Operational Research, Elsevier, vol. 255(3), pages 961-970.
    7. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    8. Duarte, Thiago B. & Valladão, Davi M. & Veiga, Álvaro, 2017. "Asset liability management for open pension schemes using multistage stochastic programming under Solvency-II-based regulatory constraints," Insurance: Mathematics and Economics, Elsevier, vol. 77(C), pages 177-188.
    9. Kolm, Petter N. & Tütüncü, Reha & Fabozzi, Frank J., 2014. "60 Years of portfolio optimization: Practical challenges and current trends," European Journal of Operational Research, Elsevier, vol. 234(2), pages 356-371.
    10. Viviana Fernandez, 2013. "Profitability of Chile's Defined-Contribution-Based Pension System During the Multifund Era," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(5), pages 4-25, September.
    11. Ertugrul Bayraktar & Ayse Humeyra Bilge, 2012. "Determination the Parameters of Markowitz Portfolio Optimization Model," Papers 1210.5859, arXiv.org.
    12. Oecd, 2006. "OECD Guidelines on Pension Fund Asset Management," Financial Market Trends, OECD Publishing, vol. 2006(2), pages 171-187.
    13. Davi Michel Valladão & Álvaro Veiga & Alexandre Street, 2018. "A Linear Stochastic Programming Model for Optimal Leveraged Portfolio Selection," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 1021-1032, April.
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    Cited by:

    1. Bernardo K. Pagnoncelli & Domingo Ramírez & Hamed Rahimian & Arturo Cifuentes, 2023. "A Synthetic Data-Plus-Features Driven Approach for Portfolio Optimization," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 187-204, June.
    2. 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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