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Dynamic Trading Strategies and Portfolio Choice

Author

Listed:
  • Bansal, Ravi

    (Duke University)

  • Dahlquist, Magnus

    (Swedish Institute for Financial Research)

  • Harvey, Campbell R.

    (Duke University)

Abstract

Traditional mean-variance efficient portfolios do not capture the potential wealth creation opportunities provided by predictability of asset returns. We propose a simple method for constructing optimally managed portfolios that exploits the possibility that asset returns are predictable. We implement these portfolios in both single and multi-period horizon settings. We compare alternative portfolio strategies which include both buy-and-hold and fixed weight portfolios. We find that managed portfolios can significantly improve the mean-variance trade-off, in particular, for investors with investment horizons of three to five years. Also, in contrast to popular advice, we show that the buy-and-hold strategy should be avoided.

Suggested Citation

  • Bansal, Ravi & Dahlquist, Magnus & Harvey, Campbell R., 2004. "Dynamic Trading Strategies and Portfolio Choice," SIFR Research Report Series 31, Institute for Financial Research.
    • Handle: RePEc:hhs:sifrwp:0031
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    References listed on IDEAS

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    Cited by:

    1. Ulf Axelson & Per Strömberg & Michael S. Weisbach, 2009. "Why Are Buyouts Levered? The Financial Structure of Private Equity Funds," Journal of Finance, American Finance Association, vol. 64(4), pages 1549-1582, August.
    2. Caicedo-Llano, Juliana & Dionysopoulos, Thomas, 2008. "Market integration: A risk-budgeting guide for pure alpha investors," Journal of Multinational Financial Management, Elsevier, vol. 18(4), pages 313-327, October.
    3. Makarov, Dmitry & Schornick, Astrid V., 2010. "A note on wealth effect under CARA utility," Finance Research Letters, Elsevier, vol. 7(3), pages 170-177, September.
    4. Chiang, I-Hsuan Ethan, 2015. "Modern portfolio management with conditioning information," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 114-134.
    5. Peñaranda, Francisco & Sentana, Enrique, 2016. "Duality in mean-variance frontiers with conditioning information," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 762-785.
    6. Ulf Axelson & Sandeep Baliga, 2009. "Liquidity and Manipulation of Executive Compensation Schemes," The Review of Financial Studies, Society for Financial Studies, vol. 22(10), pages 3907-3939, October.
    7. Qi Liu & Ka Po Kung, 2023. "Optimality of Buy-and-Hold Strategies," Eurasian Journal of Business and Management, Eurasian Publications, vol. 11(1), pages 32-45.
    8. Suleyman Basak & Georgy Chabakauri, 2010. "Dynamic Mean-Variance Asset Allocation," The Review of Financial Studies, Society for Financial Studies, vol. 23(8), pages 2970-3016, August.
    9. Fedyk, Yuriy & Walden, Johan, 2007. "High-Speed Natural Selection in Financial Markets with Large State Spaces," SIFR Research Report Series 52, Institute for Financial Research.
    10. Fletcher, Jonathan & Basu, Devraj, 2016. "An examination of the benefits of dynamic trading strategies in U.K. closed-end funds," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 109-118.
    11. van Hemert, Otto, 2006. "Life-Cycle Housing and Portfolio Choice with Bond Markets," SIFR Research Report Series 44, Institute for Financial Research.
    12. Peñaranda, Francisco, 2009. "Understanding portfolio efficiency with conditioning information," LSE Research Online Documents on Economics 24415, London School of Economics and Political Science, LSE Library.

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    More about this item

    Keywords

    Dynamic strategies; mean-variance optimization; multiperiod choice; efficient frontier; buy-and-hold investment;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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