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Where is the value added of rebalancing? A systematic comparison of alternative rebalancing strategies

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  • Hubert Dichtl
  • Wolfgang Drobetz
  • Martin Wambach

Abstract

This study compares the performance of different rebalancing strategies under realistic market conditions by reporting statistical significance levels. Our analysis is based on historical data from the United States, the United Kingdom, and Germany and comprises three different classes of rebalancing (periodic, threshold, and range rebalancing). Despite cross-country differences, our history-based simulation results show that all rebalancing strategies outperform a buy-and-hold strategy in terms of Sharpe ratios, Sortino ratios, and Omega measures. The differences in risk-adjusted performance are not only statistically significant, but also economically relevant. However, the choice of a particular rebalancing strategy is of only minor economic importance. Copyright Swiss Society for Financial Market Research 2014

Suggested Citation

  • Hubert Dichtl & Wolfgang Drobetz & Martin Wambach, 2014. "Where is the value added of rebalancing? A systematic comparison of alternative rebalancing strategies," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(3), pages 209-231, August.
  • Handle: RePEc:kap:fmktpm:v:28:y:2014:i:3:p:209-231
    DOI: 10.1007/s11408-014-0231-3
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    References listed on IDEAS

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    1. Samuel Kyle Jones & Joe Bert Stine, 2010. "Expected utility and the non-normal returns of common portfolio rebalancing strategies," Journal of Asset Management, Palgrave Macmillan, vol. 10(6), pages 406-419, February.
    2. Merton, Robert C., 1971. "Optimum consumption and portfolio rules in a continuous-time model," Journal of Economic Theory, Elsevier, vol. 3(4), pages 373-413, December.
    3. Jonathan Ingersoll & Ivo Welch, 2007. "Portfolio Performance Manipulation and Manipulation-proof Performance Measures," Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1503-1546, 2007 17.
    4. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    5. Ledoit, Oliver & Wolf, Michael, 2008. "Robust performance hypothesis testing with the Sharpe ratio," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 850-859, December.
    6. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
    7. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
    8. Leland, Hayne E., 1999. "Optimal Portfolio Management with Transactions Costs and Capital Gains Taxes," Research Program in Finance, Working Paper Series qt0fw6k0hm, Research Program in Finance, Institute for Business and Economic Research, UC Berkeley.
    9. Dimitris Politis & Halbert White, 2004. "Automatic Block-Length Selection for the Dependent Bootstrap," Econometric Reviews, Taylor & Francis Journals, vol. 23(1), pages 53-70.
    10. François Longin & Bruno Solnik, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, April.
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    Cited by:

    1. Winfried G Hallerbach, 2014. "Disentangling rebalancing return," Journal of Asset Management, Palgrave Macmillan, vol. 15(5), pages 301-316, October.
    2. Frieder Meyer-Bullerdiek, 2017. "Rebalancing and Diversification Return – Evidence from the German Stock Market," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 6(2), pages 1-1.
    3. Martin Boďa & Mária Kanderová, 2020. "Performance of Six Sigma Rebalancing for Portfolios Mixing Polar Investment Styles," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(1), pages 139-155.
    4. Frieder Meyer-Bullerdiek, 2018. "Portfolio rebalancing versus buy-and-hold: A simulation based study with special consideration of portfolio concentration," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 8(5), pages 1-4.
    5. Arnaud Gougler & Sebastian Utz, 2020. "Factor exposures and diversification: Are sustainably screened portfolios any different?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(3), pages 221-249, September.

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    More about this item

    Keywords

    Rebalancing; Stock-bond portfolio; Bootstrap; Statistical inference; G11;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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