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Multiple Risky Assets, Transaction Costs, and Return Predictability: Allocation Rules and Implications for U.S. Investors

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  • Lynch, Anthony W.
  • Tan, Sinan

Abstract

This paper numerically solves the decision problem of a multiperiod constant relative risk aversion individual who faces transaction costs and has access to two risky assets, both with predictable returns. With proportional transaction costs and independent and identically distributed returns, we numerically find the rebalancing rule to be a no-trade region for the portfolio weights with rebalancing to the boundary. The shape of the no-trade region depends on the correlation between the two risky assets. With predictable returns, there is instead a no-trade region for each state. We also examine several important economic questions, including the utility cost of not being able to buy on margin or short stock.

Suggested Citation

  • Lynch, Anthony W. & Tan, Sinan, 2010. "Multiple Risky Assets, Transaction Costs, and Return Predictability: Allocation Rules and Implications for U.S. Investors," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(04), pages 1015-1053, August.
  • Handle: RePEc:cup:jfinqa:v:45:y:2010:i:04:p:1015-1053_00
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    Cited by:

    1. Mark Broadie & Weiwei Shen, 2016. "High-Dimensional Portfolio Optimization With Transaction Costs," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(04), pages 1-49, June.
    2. Illeditsch, PK & Ganguli, J & Condie, S, 2017. "Information Inertia (Working Paper)," Economics Discussion Papers 15615, University of Essex, Department of Economics.
    3. repec:esx:essedp:719 is not listed on IDEAS
    4. Michal Czerwonko & Stylianos Perrakis, 2016. "Portfolio Selection with Transaction Costs and Jump-Diffusion Asset Dynamics I: A Numerical Solution," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 6(04), pages 1-23, December.
    5. Bodnar, Taras & Parolya, Nestor & Schmid, Wolfgang, 2015. "On the exact solution of the multi-period portfolio choice problem for an exponential utility under return predictability," European Journal of Operational Research, Elsevier, vol. 246(2), pages 528-542.
    6. Fischer, Marcel & Gallmeyer, Michael F., 2016. "Heuristic portfolio trading rules with capital gain taxes," Journal of Financial Economics, Elsevier, vol. 119(3), pages 611-625.
    7. repec:esx:essedp:770 is not listed on IDEAS
    8. Mourad Mroua & Fathi Abid, 2014. "Portfolio revision and optimal diversification strategy choices," International Journal of Managerial Finance, Emerald Group Publishing, vol. 10(4), pages 537-564, August.
    9. Mark Broadie & Weiwei Shen, 2017. "Numerical solutions to dynamic portfolio problems with upper bounds," Computational Management Science, Springer, vol. 14(2), pages 215-227, April.
    10. Ganguli, J & Condie, S & Illeditsch, PK, 2012. "Information Inertia," Economics Discussion Papers 5628, University of Essex, Department of Economics.
    11. Mei, Xiaoling & DeMiguel, Victor & Nogales, Francisco J., 2016. "Multiperiod portfolio optimization with multiple risky assets and general transaction costs," Journal of Banking & Finance, Elsevier, vol. 69(C), pages 108-120.
    12. David B. Brown & James E. Smith, 2011. "Dynamic Portfolio Optimization with Transaction Costs: Heuristics and Dual Bounds," Management Science, INFORMS, vol. 57(10), pages 1752-1770, October.
    13. Rongju Zhang & Nicolas Langren'e & Yu Tian & Zili Zhu & Fima Klebaner & Kais Hamza, 2016. "Dynamic Portfolio Optimization with Liquidity Cost and Market Impact: A Simulation-and-Regression Approach," Papers 1610.07694, arXiv.org, revised Oct 2017.
    14. Sabastine Mushori & Delson Chikobvu, 2016. "A Stochastic Multi-stage Trading Cost model in optimal portfolio selection," EERI Research Paper Series EERI RP 2016/23, Economics and Econometrics Research Institute (EERI), Brussels.

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