IDEAS home Printed from https://ideas.repec.org/a/pal/assmgt/v15y2014i5d10.1057_jam.2014.29.html
   My bibliography  Save this article

Disentangling rebalancing return

Author

Listed:
  • Winfried G Hallerbach

    (Quantitative Strategies, Robeco Investment Management)

Abstract

The use of portfolio rebalancing as a profitable strategy (or ‘volatility harvesting’) is a hot topic. Indeed, it is interesting to know what the impact of periodic rebalancing is on the growth rate of a portfolio. Unfortunately, the terminology used in the literature is confusing. Terms such as ‘diversification return’ and ‘rebalancing return’ are used interchangeably to indicate the growth rate that a rebalanced portfolio can earn in excess of a buy-and-hold portfolio. The literature is also confused in specifying this excess growth rate from rebalancing. In this article, we investigate the full return from rebalancing and decompose it into the volatility return and the dispersion discount. We prove some general results regarding these components and present some simple approximations that provide direct insight into the driving forces behind these building blocks. We consider a pro forma US asset portfolio over the period 1974–2013, which allows us to investigate the relative magnitude of the discussed effects and their time variation.

Suggested Citation

  • Winfried G Hallerbach, 2014. "Disentangling rebalancing return," Journal of Asset Management, Palgrave Macmillan, vol. 15(5), pages 301-316, October.
  • Handle: RePEc:pal:assmgt:v:15:y:2014:i:5:d:10.1057_jam.2014.29
    DOI: 10.1057/jam.2014.29
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/jam.2014.29
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/jam.2014.29?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ang, Andrew, 2014. "Asset Management: A Systematic Approach to Factor Investing," OUP Catalogue, Oxford University Press, number 9780199959327.
    2. Aneja, Yash P & Chandra, Ramesh & Gunay, Erdal, 1989. " A Portfolio Approach to Estimating the Average Correlation Coefficient for the Constant Correlation Model," Journal of Finance, American Finance Association, vol. 44(5), pages 1435-1438, December.
    3. Scott Willenbrock, 2011. "Diversification Return, Portfolio Rebalancing, and the Commodity Return Puzzle," Papers 1109.1256, arXiv.org.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mantilla-Garcia, Daniel & Malagon, Juliana & Aldana-Galindo, Julian R., 2022. "Can the portfolio excess growth rate explain the predictive power of idiosyncratic volatility?," Finance Research Letters, Elsevier, vol. 47(PA).
    2. Soumik Pal & Ting-Kam Leonard Wong, 2016. "Exponentially concave functions and a new information geometry," Papers 1605.05819, arXiv.org, revised May 2017.
    3. 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.
    4. Keith Cuthbertson & Simon Hayley & Nick Motson & Dirk Nitzsche, 2016. "What Does Rebalancing Really Achieve?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(3), pages 224-240, July.
    5. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Prehn, Sören & Glauben, Thomas & Loy, Jens-Peter & Pies, Ingo & Will, Matthias Georg, 2014. "The impact of long-only index funds on price discovery and market performance in agricultural futures markets," IAMO Discussion Papers 169081, Institute of Agricultural Development in Transition Economies (IAMO).
    3. Pedro Barroso & Jurij-Andrei Reichenecker & Marco J. Menichetti, 2022. "Hedging with an Edge: Parametric Currency Overlay," Management Science, INFORMS, vol. 68(1), pages 669-689, January.
    4. Ahmed, Shamim & Bu, Ziwen & Symeonidis, Lazaros & Tsvetanov, Daniel, 2023. "Which factor model? A systematic return covariation perspective," Journal of International Money and Finance, Elsevier, vol. 136(C).
    5. Yang Zhao & Charalampos Stasinakis & Georgios Sermpinis & Filipa Da Silva Fernandes, 2019. "Revisiting Fama–French factors' predictability with Bayesian modelling and copula‐based portfolio optimization," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 1443-1463, October.
    6. Jonathan Fletcher, 2018. "An Examination of the Benefits of Factor Investing in U.K. Stock Returns," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(4), pages 154-170, April.
    7. 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.
    8. Gilles Boevi Koumou & Georges Dionne, 2022. "Coherent Diversification Measures in Portfolio Theory: An Axiomatic Foundation," Risks, MDPI, vol. 10(11), pages 1-19, October.
    9. Cederburg, Scott & O’Doherty, Michael S. & Wang, Feifei & Yan, Xuemin (Sterling), 2020. "On the performance of volatility-managed portfolios," Journal of Financial Economics, Elsevier, vol. 138(1), pages 95-117.
    10. Carlo A. Favero & Alessandro Melone, 2019. "Asset Pricing vs Asset Expected Returning in Factor Models," Working Papers 651, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    11. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
    12. Koumou, Gilles Boevi, 2020. "Mean-variance model and investors’ diversification attitude: A theoretical revisit," Finance Research Letters, Elsevier, vol. 37(C).
    13. Jonas Heipertz & Amine Ouazad & Romain Rancière & Natacha Valla, 2017. "Balance-Sheet Diversification in General Equilibrium: Identification and Network Effects," NBER Working Papers 23572, National Bureau of Economic Research, Inc.
    14. Alexander Berglund & Massimo Guidolin & Manuela Pedio, 2020. "Monetary policy after the crisis: A threat to hedge funds' alphas?," Journal of Asset Management, Palgrave Macmillan, vol. 21(3), pages 219-238, May.
    15. Balvers, Ronald J. & McDonald, Bill, 2021. "Designing a global digital currency," Journal of International Money and Finance, Elsevier, vol. 111(C).
    16. Penman, Stephen & Zhu, Julie, 2022. "An accounting-based asset pricing model and a fundamental factor," Journal of Accounting and Economics, Elsevier, vol. 73(2).
    17. Kelli Francis-Staite, 2022. "Internal multi-portfolio rebalancing processes: Linking resource allocation models and biproportional matrix techniques to portfolio management," Papers 2201.06183, arXiv.org.
    18. Chiaki Hara & Toshiki Honda, 2018. "ImpliedAmbiguity:Mean-Variance Efficiency andPricingErrors," KIER Working Papers 1004, Kyoto University, Institute of Economic Research.
    19. Massimo Guidolin & Alexei G. Orlov, 2022. "Can Investors Benefit from Hedge Fund Strategies? Utility-Based, Out-of-Sample Evidence," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 1-61, September.
    20. Antonio Díaz & Carlos Esparcia, 2021. "Dynamic optimal portfolio choice under time-varying risk aversion," International Economics, CEPII research center, issue 166, pages 1-22.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:assmgt:v:15:y:2014:i:5:d:10.1057_jam.2014.29. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.