IDEAS home Printed from https://ideas.repec.org/a/kap/fmktpm/v28y2014i3p209-231.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11408-014-0231-3
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11408-014-0231-3?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. François Longin & Bruno Solnik, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, April.
    2. 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.
    3. Jonathan Ingersoll & Ivo Welch, 2007. "Portfolio Performance Manipulation and Manipulation-proof Performance Measures," The Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1503-1546, 2007 17.
    4. 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.
    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. 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.
    7. 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.
    8. Dimitris Politis & Halbert White, 2004. "Automatic Block-Length Selection for the Dependent Bootstrap," Econometric Reviews, Taylor & Francis Journals, vol. 23(1), pages 53-70.
    9. 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.
    10. 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.
    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. 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.

    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. Zhou, Jian & Nicholson, Joseph R., 2015. "Economic value of modeling covariance asymmetry for mixed-asset portfolio diversifications," Economic Modelling, Elsevier, vol. 45(C), pages 14-21.
    2. Jamie Alcock & Eva Steiner, 2018. "Fundamental Drivers of Dependence in REIT Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 57(1), pages 4-42, July.
    3. Low, Rand Kwong Yew & Alcock, Jamie & Faff, Robert & Brailsford, Timothy, 2013. "Canonical vine copulas in the context of modern portfolio management: Are they worth it?," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3085-3099.
    4. He, Xue-Zhong & Li, Kai & Li, Youwei, 2018. "Asset allocation with time series momentum and reversal," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 441-457.
    5. Kai Li & Jun Liu, 2016. "Reversing Momentum: The Optimal Dynamic Momentum Strategy," Research Paper Series 370, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. Fernando Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
    7. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    8. Gencay, Ramazan, 1998. "The predictability of security returns with simple technical trading rules," Journal of Empirical Finance, Elsevier, vol. 5(4), pages 347-359, October.
    9. Stephan Kessler & Bernd Scherer, 2013. "Momentum and macroeconomic state variables," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 27(4), pages 335-363, December.
    10. Kung, James J., 2009. "Predictability of Technical Trading Rules: Evidence from the Taiwan Stock Market," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 5(1-2), pages 1-17, March.
    11. Ribeiro, Pinho J., 2017. "Selecting exchange rate fundamentals by bootstrap," International Journal of Forecasting, Elsevier, vol. 33(4), pages 894-914.
    12. John Hatgioannides & Spiros Mesomeris, 2005. "Mean Reversion in Equity Prices: the G-7 Evidence," Money Macro and Finance (MMF) Research Group Conference 2005 64, Money Macro and Finance Research Group.
    13. Francisco Peñaranda & Liuren Wu, 2022. "Targets, Predictability, and Performance," Management Science, INFORMS, vol. 68(2), pages 1537-1555, February.
    14. Victor Troster & José Penalva & Abderrahim Taamouti & Dominik Wied, 2021. "Cointegration, information transmission, and the lead‐lag effect between industry portfolios and the stock market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1291-1309, November.
    15. Nam, Kiseok & Pyun, Chong Soo & Kim, Sei-Wan, 2003. "Is asymmetric mean-reverting pattern in stock returns systematic? Evidence from Pacific-basin markets in the short-horizon," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(5), pages 481-502, December.
    16. John H. Cochrane, 1999. "New facts in finance," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 23(Q III), pages 36-58.
    17. Jiang, Yonghong & Nie, He & Ruan, Weihua, 2018. "Time-varying long-term memory in Bitcoin market," Finance Research Letters, Elsevier, vol. 25(C), pages 280-284.
    18. Christiansen, Charlotte & Ranaldo, Angelo, 2009. "Extreme coexceedances in new EU member states' stock markets," Journal of Banking & Finance, Elsevier, vol. 33(6), pages 1048-1057, June.
    19. Alexander S. Sangare, 2005. "Efficience des marchés : un siècle après Bachelier," Revue d'Économie Financière, Programme National Persée, vol. 81(4), pages 107-132.
    20. Shu-Ling Chen & Hyeongwoo Kim, 2011. "Nonlinear Mean Reversion across National Stock Markets: Evidence from Emerging Asian Markets," International Economic Journal, Taylor & Francis Journals, vol. 25(2), pages 239-250.

    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

    Statistics

    Access and download statistics

    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:kap:fmktpm:v:28:y:2014:i:3:p:209-231. 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.springer.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.