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Risk-based strategies: the social responsibility of investment universes does matter

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  • Philippe Bertrand

    () (Aix-Marseille Université, CERGAM EA 4225
    Aix-Marseille Graduate School of Management
    KEDGE Business School
    Aix-Marseille School of Economics, GREQAM)

  • Vincent Lapointe

    () (Aix-Marseille School of Economics, GREQAM
    Exane BNP Paribas)

Abstract

In this article we extend the research on risk-based asset allocation strategies by exploring how using an SRI universe modifies properties of risk-based portfolios. We focus on four risk-based asset allocation strategies: the equally weighted, the most diversified portfolio, the minimum variance and the equal risk contribution. Using different estimators of the matrix of covariances, we apply these strategies to the EuroStoxx universe of stocks, the Advanced Sustainability Performance Index (ASPI) and the complement of the ASPI in the EuroStoxx universe from March 15, 2002 to May 1, 2012. We observe several impacts but one is particularly important in our mind. We observe that risk-based asset allocation strategies built on the entire universe, concentrate their solution on non-SRI stocks. Such risk-based portfolios are therefore under-weighted in socially responsible firms.

Suggested Citation

  • Philippe Bertrand & Vincent Lapointe, 2018. "Risk-based strategies: the social responsibility of investment universes does matter," Annals of Operations Research, Springer, vol. 262(2), pages 413-429, March.
    • Handle: RePEc:spr:annopr:v:262:y:2018:i:2:d:10.1007_s10479-015-2081-4
    DOI: 10.1007/s10479-015-2081-4
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    References listed on IDEAS

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    1. Victor DeMiguel & Lorenzo Garlappi & Raman Uppal, 2009. "Optimal Versus Naive Diversification: How Inefficient is the 1-N Portfolio Strategy?," Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 1915-1953, May.
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    3. Bertrand, Philippe & Lapointe, Vincent, 2015. "How performance of risk-based strategies is modified by socially responsible investment universe?," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 175-190.
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    Cited by:

    1. Prayut Jain & Shashi Jain, 2019. "Can Machine Learning-Based Portfolios Outperform Traditional Risk-Based Portfolios? The Need to Account for Covariance Misspecification," Risks, MDPI, Open Access Journal, vol. 7(3), pages 1-1, July.
    2. David Ardia & Guido Bolliger & Kris Boudt & Jean-Philippe Gagnon-Fleury, 2017. "The impact of covariance misspecification in risk-based portfolios," Annals of Operations Research, Springer, vol. 254(1), pages 1-16, July.

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