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Dynamic portfolio optimization with transaction costs and state-dependent drift

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  • Palczewski, Jan
  • Poulsen, Rolf
  • Schenk-Hoppé, Klaus Reiner
  • Wang, Huamao

Abstract

The problem of dynamic portfolio choice with transaction costs is often addressed by constructing a Markov Chain approximation of the continuous time price processes. Using this approximation, we present an efficient numerical method to determine optimal portfolio strategies under time- and state-dependent drift and proportional transaction costs. This scenario arises when investors have behavioral biases or the actual drift is unknown and needs to be estimated. Our numerical method solves dynamic optimal portfolio problems with an exponential utility function for time-horizons of up to 40 years. It is applied to measure the value of information and the loss from transaction costs using the indifference principle.

Suggested Citation

  • Palczewski, Jan & Poulsen, Rolf & Schenk-Hoppé, Klaus Reiner & Wang, Huamao, 2015. "Dynamic portfolio optimization with transaction costs and state-dependent drift," European Journal of Operational Research, Elsevier, vol. 243(3), pages 921-931.
    • Handle: RePEc:eee:ejores:v:243:y:2015:i:3:p:921-931
    DOI: 10.1016/j.ejor.2014.12.040
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    7. Roland Herzog & Karl Kunisch & Jörn Sass, 2013. "Primal-dual methods for the computation of trading regions under proportional transaction costs," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 77(1), pages 101-130, February.
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    Cited by:

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    6. Zsurkis, Gabriel & Nicolau, João & Rodrigues, Paulo M.M., 2024. "First passage times in portfolio optimization: A novel nonparametric approach," European Journal of Operational Research, Elsevier, vol. 312(3), pages 1074-1085.

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