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Optimal tracking for asset allocation with fixed and proportional transaction costs

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  • Stanley Pliska
  • Kiyoshi Suzuki

Abstract

This paper studies the asset allocation problem of optimally tracking a target mix of asset categories when there are transaction costs. We consider the trading strategy for an investor who is trying to minimize both fixed and proportional transaction costs while simultaneously minimizing the tracking error with respect to a specified, target asset mix. We use imupulse control theory in a continuous-time, dynamic setting to deal with this problem in a general and analytical way, showing that the optimal trading strategy can be characterized in terms of a quasi-variational inequality. We derive an explicit solution for the two-asset case, and we use this to provide a sensitivity analysis, showing how the optimal strategy depends upon individual input parameters. We also use some theory for one-dimensional diffusion processes to derive analytical expressions for various measures of performance such as the average time between transactions.

Suggested Citation

  • Stanley Pliska & Kiyoshi Suzuki, 2004. "Optimal tracking for asset allocation with fixed and proportional transaction costs," Quantitative Finance, Taylor & Francis Journals, vol. 4(2), pages 233-243.
    • Handle: RePEc:taf:quantf:v:4:y:2004:i:2:p:233-243
    DOI: 10.1080/14697680400000027
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    References listed on IDEAS

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    Cited by:

    1. Kiyoshi Suzuki, 2018. "Optimal pair-trading strategy over long/short/square positions—empirical study," Quantitative Finance, Taylor & Francis Journals, vol. 18(1), pages 97-119, January.
    2. Liu, Cong & Zheng, Harry, 2016. "Asymptotic analysis for target asset portfolio allocation with small transaction costs," Insurance: Mathematics and Economics, Elsevier, vol. 66(C), pages 59-68.
    3. Matthias Horn & Andreas Oehler, 2020. "Automated portfolio rebalancing: Automatic erosion of investment performance?," Journal of Asset Management, Palgrave Macmillan, vol. 21(6), pages 489-505, October.
    4. Ieda, Masashi, 2015. "An implicit method for the finite time horizon Hamilton–Jacobi–Bellman quasi-variational inequalities," Applied Mathematics and Computation, Elsevier, vol. 265(C), pages 163-175.
    5. Kiyoshi Suzuki, 2021. "Infinite-Horizon Optimal Switching Regions for a Pair-Trading Strategy with Quadratic Risk Aversion Considering Simultaneous Multiple Switchings: A Viscosity Solution Approach," Mathematics of Operations Research, INFORMS, vol. 46(1), pages 336-360, February.
    6. Yiannis Kamarianakis & Anastasios Xepapadeas, 2006. "Controlling the risky fraction process with an ergodic criterion," Working Papers 0710, University of Crete, Department of Economics.
    7. Sergio Focardi & Frank Fabozzi, 2004. "A methodology for index tracking based on time-series clustering," Quantitative Finance, Taylor & Francis Journals, vol. 4(4), pages 417-425.
    8. Yiannis Kamarianakis & Anastasios Xepapadeas, 2006. "Stochastic impulse control with discounted and ergodic optimization criteria: A comparative study for the control of risky holdings," Working Papers 0709, University of Crete, Department of Economics.
    9. Yiannis Kamarianakis & Anastasios Xepapadeas, 2007. "An Irreversible Investment Model with a Stochastic Production Capacity and Fixed Plus Proportional Adjustment Costs," Working Papers 0708, University of Crete, Department of Economics.
    10. Seydel, Roland C., 2009. "Existence and uniqueness of viscosity solutions for QVI associated with impulse control of jump-diffusions," Stochastic Processes and their Applications, Elsevier, vol. 119(10), pages 3719-3748, October.
    11. Hibiki Norio & Yamamoto Rei, 2014. "Optimal Symmetric No-Trade Ranges in Asset Rebalancing Strategy with Transaction Costs," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 8(2), pages 1-35, July.
    12. Jiatu Cai & Mathieu Rosenbaum & Peter Tankov, 2015. "Asymptotic Lower Bounds for Optimal Tracking: a Linear Programming Approach," Papers 1510.04295, arXiv.org.
    13. Ali Al-Aradi & Sebastian Jaimungal, 2019. "Active and Passive Portfolio Management with Latent Factors," Papers 1903.06928, arXiv.org.
    14. Kenneth Bruhn & Ninna Reitzel Jensen & Mogens Steffensen, 2016. "Smooth investment," Annals of Finance, Springer, vol. 12(3), pages 335-361, December.

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