Acta Univ. Agric. Silvic. Mendelianae Brun. 2020, 68(1), 139-155 | DOI: 10.11118/actaun202068010139

Performance of Six Sigma Rebalancing for Portfolios Mixing Polar Investment Styles

Martin Boďa1,2, Mária Kanderová2
1 Department of Mathematics, Faculty of Natural Sciences, Ján Evangelista Purkyně University in Ústí nad Labem, Pasteurova 1, 400 96 Ústí nad Labem, Czech Republic
2 Quantitative Methods and Information Systems Department, Faculty of Economics, Matej Bel University in Banská Bystrica, Národná 1, 974 01 Banská Bystrica, Slovak Republic

The paper investigates usefulness of a rebalancing strategy that was proposed in 2014 by Boďa and Roháčová and is based on ideas borrowed from the managerial concept Six Sigma. Centring upon a small investor who is willing to invest into S&P 500 Index components in an attempt to track the S&P 500 Index, the paper compares the performance of different rebalancing strategies for four different sets of monthly data ranging from 2011 to 2017. Rebalancing is undertaken on a monthly basis and tracking portfolios are diversified by investing in proportions into stocks belonging to investment styles defined by size (big/small caps) and market-to-book ratio (growth/value stocks). The results show that the Six Sigma rebalancing strategy is superior in a transaction-cost-free environment, but when transaction costs are accounted for, it is dominated by the buy-and hold strategy and a liberal threshold rebalancing strategy. Overall, periodic rebalancing fares unsatisfactorily with respect to criteria adopted for performance assessment.

Keywords: rebalancing, Six Sigma, big and small caps, growth and value stocks, quadratic tracking, performance
Grants and funding:

The research presented in the paper arose in fulfilment of the grant scheme of VEGA [# 1/0554/16].

Received: June 3, 2019; Accepted: December 2, 2019; Published: February 27, 2020  Show citation

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Boďa, M., & Kanderová, M. (2020). Performance of Six Sigma Rebalancing for Portfolios Mixing Polar Investment Styles. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis68(1), 139-155. doi: 10.11118/actaun202068010139
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References

  1. ARNOTT, R. D. and LOVELL, R. M. 1993. Rebalancing: Why? When? How often? The Journal of Investing, 2(1): 5-10. DOI: 10.3905/joi.2.1.5 Go to original source...
  2. BAÑUELAS, R., ANTONY, J. and BRACE, M. 2005. An application of Six Sigma to reduce waste. Quality and Reliability Engineering International, 21(6): 553-570. DOI: 10.1002/qre.669 Go to original source...
  3. BAUMAN, W. S., CONVER, C. M. and MILLER, R. E. 1998. Growth versus value and large-cap versus small-cap stocks in international markets. Financial Analysts Journal, 54(2): 75-89. DOI: 10.2469/faj.v54.n2.2168 Go to original source...
  4. BOĎA, M. and KANDEROVÁ, M. 2017. Selecting a small portfolio of equities: one-stop shopping approach to screening. In: Applications of Mathematics and Statistics in Economics 2017. Conference proceedings. Full-text papers. 30 Aug - 3 Sep: Szklarska Poręba. Wrocław: Publishing House of Wrocław University of Economics, pp. 43-57. Go to original source...
  5. BOĎA, M. and KANDEROVÁ, M. 2018. What is the true effect of realancing - a higher return or a lower risk? Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 66(6): 1417-1430. DOI: 10.11118/actaun201866061417 Go to original source...
  6. BOĎA, M. and ROHÁČOVÁ, V. 2014. Application of Six Sigma ideas to timing decisions at financial markets. In: 17-th AMSE. Applications of Mathematics in Economics. Conference proceedings full text papers. 27-31 August: Jerzmanowice. Wrocław: Publishing House of Wrocław University of Economics, pp. 36-45. Go to original source...
  7. BOUCHEY, P. et al. 2012. Volatility harvesting: Why does diversifying and rebalancing create portfolio growth? The Journal of Wealth Management, 15(2): 26-35. DOI: 10.3905/jwm.2012.15.2.026 Go to original source...
  8. DE JONG, F. and DRIESSEN, J. 2013. The Norwegian government pension fund's potential for capturing illiquidity premiums. Research report for the Norwegian Ministry of Finance. Available at. DOI: 10.2139/ssrn.2337939 Go to original source...
  9. DICHTL, H., DROBETZ, W. and WAMBACH, M. 2014. Where is the value added of rebalancing? A systematic comparison of alternative rebalancing strategies. Financial Markets and Portfolio Management, 28(3): 209-231. DOI: 10.1007/s11408-014-0231-3 Go to original source...
  10. DICHTL, H., DROBETS, W. and WAMBACH, M. 2016. Testing rebalancing strategies for stock-bond portfolios across different asset allocations. Applied Economics, 48(9): 772-788. DOI: 10.1080/00036846.2015.1088139 Go to original source...
  11. DOUKAS, J. A., KIM, C. F. and PANTZALIS, C. 2002. A test of the errors-in-expectations explanation of the value/glamour stock returns performance: evidence from analysts' forecasts. The Journal of Finance, 57(5): 2143-2165. DOI: 10.1111/1540-6261.00491 Go to original source...
  12. DOYLE, B., MEFFORD, R. and TAY, N. S. P. 2010. What financial risk managers can learn from Six Sigma quality programs. Working paper. Available at: http://repository.usfca.edu/fe/2 [Accessed: 2020, November 15].
  13. FABOZZI, F. J. 1998. Overview of equity style management. In: FABOZZI, F. J. (Ed.). Active equity portfolio management. New Hope, PA: Frank J. Fabozzi Associates, pp. 57-70.
  14. GLEN, J. J. 2011. Mean-variance portfolio rebalancing with transaction costs and funding changes. Journal of the Operational Research Society, 62(4): 667-676. DOI: 10.1057/jors.2009.148 Go to original source...
  15. GROBYS, K. 2010. Correlation versus cointegration: do cointegrated based index-tracking portfolios perform better? Zeitschrift für Nachwuchswissenschaftler, 1(2): 72-78.
  16. GUSTAROBA, G., MANSINI, R. and SPERANZA, M. G. 2009. Models and simulations for portfolio rebalancing. Computational Economics, 33: 237-262. DOI: 10.1007/s10614-008-9158-y Go to original source...
  17. HARJOTO, M. A. and JONES, F. J. 2006. Rebalancing strategy for stocks and bonds asset allocation. The Journal of Wealth Management, 9(1): 37-44. DOI: 10.3905/jwm.2006.628682 Go to original source...
  18. IONESCU, G. 2002. Portfolio construction strategies using cointegration. Dissertation thesis. Bucharest: Academy of Economic Studies Doctoral School of Finance and Banking, 2002.
  19. KWAK, Y. H., and ANBARI, F. T. 2006. Benefits, obstacles, and future of six sigma approach. Technovation, 26(5-6): 708-715. DOI: 10.1016/j.technovation.2004.10.003 Go to original source...
  20. LAM, M. 2014. Is portfolio rebalancing good for investors? Thesis submitted in partial fulfilment of the requirements for the degree of Master of Science in Business Administration. Prince George, Canada: University of Northern British Columbia.
  21. LEVIS, M. The record on small companies: A review of the evidence. Journal of Asset Management, 2(4): 368-397. DOI: 10.1057/palgrave.jam.2240059
  22. MANSINI, R., OGRYCZAK, W. and SPERANZA, M. G. 2015. Linear and mixed integer programming for portfolio optimization. Cham, Switzerland: Springer. Go to original source...
  23. MEFFORD, R. N., TAY, N. S. P., DOYLE, B. and OHARA, F. 2017. Portfolio risk management using Six Sigma quality principles. Quality Management Journal, 24(2): 6-30. DOI: 10.1080/10686967.2017.11918506 Go to original source...
  24. MONTGOMERY, D.C. 2001. Introduction to statistical quality control. 4th Edition. New York: Wiley.
  25. PETERSON, B. G. et al. 2014. PerformanceAnalytics: econometric tools for performance and risk analysis. R package, version 1.4.3541. Available at: http://cran.r-project.org/web/packages/Performance Analytics/ index.html [Accessed: 2020, November 15].
  26. PLAXCO, L. M. and ARNOTT, R. D. 2002. Rebalancing a global policy benchmark. The Journal of Portfolio Management, 28(2): 9-22. DOI: 10.3905/jpm.2002.319828 Go to original source...
  27. RYAN, A. J., ULRICH, J. M., THIELEN, W. and TEETOR, P. 2017. quantmod: Quantitative financial modelling framework R package, version 0.4-12. Available at: http://cran.r-project.org/web/packages/quantmod/index.html [Accessed: 2020, November 15].
  28. R CORE TEAM. 2014. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.
  29. SCHROEDER, R. G. et al. 2008. Six Sigma: definition and underlying theory. Journal of Operations Management, 26(4): 536-554. DOI: 10.1016/j.jom.2007.06.007 Go to original source...
  30. SWITZER, L. N. 2010. The behaviour of small cap vs. large cap stocks in recessions and recoveries: Empirical evidence for the United States and Canada. The North American Journal of Economics and Finance, 21(3): 332-346. DOI: 10.1016/j.najef.2010.10.002 Go to original source...
  31. TSAI, C. 2001. Rebalancing diversified portfolios of various risk profiles. The Journal of Financial Planning, 14(10): 104-110.
  32. ZU, X., FREDENDALL, L. D. and DOUGLAS, T. J. 2008. The evolving theory of quality management: The role of Six Sigma. Journal of Operations Management, 26(5): 630-650. DOI: 10.1016/j.jom.2008.02.001 Go to original source...
  33. WILLENBROCK, S. 2011. Diversification, return, portfolio rebalancing, and the commodity return puzzle. The Financial Analysts Journal, 67(4): 42-49. DOI: 10.2469/faj.v67.n4.1 Go to original source...
  34. WUERTZ, D. and CHALABI, Y. 2013. timeSeries: Rmetrics - financial time series objects. R package, version 3010.97. Available at: http://cran.r-project.org/web/packages/timeSeries/index.html [Accessed: 2020, November 15].

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