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What is the True Effect of Rebalancing - a Higher Return or a Lower Risk?

Author

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  • Martin Boďa

    (Quantitative Methods and Information Systems Department, Faculty of Economics, Matej Bel University in Banská Bystrica, Národná 1, 974 01 Banská Bystrica, Slovak Republic)

  • Mária Kanderová

    (Quantitative Methods and Information Systems Department, Faculty of Economics, Matej Bel University in Banská Bystrica, Národná 1, 974 01 Banská Bystrica, Slovak Republic)

Abstract

The paper is motivated by the fact that rebalancing in portfolio management has an effect recognisable with both return and risk, although its purported ambition is to control (or decrease) portfolio risk. Focusing upon rebalancing strategies in quadratic tracking, the paper investigates whether rebalancing contributes to higher returns or lower risks. The investigation is conducted as a case study of tracking the S&P 500 Index by means of its constituents in four different time periods spanning from 2011 to 2017. Different approaches to stock pre-selection (according to investment styles induced by market capitalization and the P/B ratio), portfolio nominal sizes (ranging between 10 and 30 stocks) and rebalancing (including periodic, deviation or no rebalancing at all) are considered. The results suggest that the effect of rebalancing is generally more apparent with return and less with risk, and that risk may in times of turbulent markets be aggravated by rebalancing interventions.

Suggested Citation

  • Martin Boďa & Mária Kanderová, 2018. "What is the True Effect of Rebalancing - a Higher Return or a Lower Risk?," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(6), pages 1417-1430.
    • Handle: RePEc:mup:actaun:actaun_2018066061417
    DOI: 10.11118/actaun201866061417
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    References listed on IDEAS

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    1. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
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    3. Leonardo Riegel Sant’Anna & Tiago Pascoal Filomena & Pablo Cristini Guedes & Denis Borenstein, 2017. "Index tracking with controlled number of assets using a hybrid heuristic combining genetic algorithm and non-linear programming," Annals of Operations Research, Springer, vol. 258(2), pages 849-867, November.
    4. Rudolf, Markus & Wolter, Hans-Jurgen & Zimmermann, Heinz, 1999. "A linear model for tracking error minimization," Journal of Banking & Finance, Elsevier, vol. 23(1), pages 85-103, January.
    5. Strub, O. & Baumann, P., 2018. "Optimal construction and rebalancing of index-tracking portfolios," European Journal of Operational Research, Elsevier, vol. 264(1), pages 370-387.
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