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A general framework for multistage mean-variance post-tax optimization

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  • Maria Osorio
  • Nalan Gülpınar
  • Berç Rustem

Abstract

An investor’s decisions affect the way taxes are paid in a general portfolio investment, modifying the net redemption value and the yearly optimal portfolio distribution. We investigate the role of these decisions on multistage mean-variance portfolio allocation model. A number of risky assets grouped in wrappers with special taxation rules is integrated in a multistage financial portfolio optimization problem. The uncertainty on the returns of assets is specified as a scenario tree generated by simulation/clustering based approach. We show the impact of decisions in the yearly reallocation of the investments for three typical cases with an annual fixed withdrawal in a fixed horizon that utilizes completely the option of taper relief offered by banks in UK. Our computational framework can be used as a tool for testing decisions in this context. Copyright Springer Science+Business Media, LLC 2008

Suggested Citation

  • Maria Osorio & Nalan Gülpınar & Berç Rustem, 2008. "A general framework for multistage mean-variance post-tax optimization," Annals of Operations Research, Springer, vol. 157(1), pages 3-23, January.
    • Handle: RePEc:spr:annopr:v:157:y:2008:i:1:p:3-23:10.1007/s10479-007-0255-4
    DOI: 10.1007/s10479-007-0255-4
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    References listed on IDEAS

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    8. Osorio, Maria A. & Gulpinar, Nalan & Rustem, Berc & Settergren, Reuben, 2004. "Post-tax optimization with stochastic programming," European Journal of Operational Research, Elsevier, vol. 157(1), pages 152-168, August.
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    Cited by:

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    2. Ying Fu & Kien Ng & Boray Huang & Huei Huang, 2015. "Portfolio optimization with transaction costs: a two-period mean-variance model," Annals of Operations Research, Springer, vol. 233(1), pages 135-156, October.

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