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Robust International Portfolio Management

Author

Listed:
  • Raquel J. Fonseca
  • Wolfram Wiesemann
  • Berc Rustem

Abstract

We present an international portfolio optimization model where we take into account the two different sources of return of an international asset: the local returns denominated in the local currency, and the returns on the foreign exchange rates. The explicit consideration of the returns on exchange rates introduces non-linearities in the model, both in the objective function (return maximization) and in the triangulation requirement of the foreign exchange rates. The uncertainty associated with both types of returns is incorporated directly in the model by the use of robust optimization techniques. We show that, by using appropriate assumptions regarding the formulation of the uncertainty sets, the proposed model has a semidefinite programming formulation and can be solved efficiently. While robust optimization provides a guaranteed minimum return inside the uncertainty set considered, we also discuss an extension of our formulation with additional guarantees through trading in quanto options for the foreign assets and in equity options for the domestic assets.

Suggested Citation

  • Raquel J. Fonseca & Wolfram Wiesemann & Berc Rustem, 2010. "Robust International Portfolio Management," Working Papers 029, COMISEF.
  • Handle: RePEc:com:wpaper:029
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    References listed on IDEAS

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    1. Glen A. Larsen, Jr. & Bruce G. Resnick, 2000. "The Optimal Construction of Internationally Diversified Equity Portfolios Hedged Against Exchange Rate Uncertainty," European Financial Management, European Financial Management Association, vol. 6(4), pages 479-514, December.
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    12. Topaloglou, Nikolas & Vladimirou, Hercules & Zenios, Stavros A., 2008. "A dynamic stochastic programming model for international portfolio management," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1501-1524, March.
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    Cited by:

    1. Fonseca, Raquel J. & Rustem, Berç, 2012. "International portfolio management with affine policies," European Journal of Operational Research, Elsevier, vol. 223(1), pages 177-187.
    2. Jang Ho Kim & Woo Chang Kim & Frank J. Fabozzi, 2018. "Recent advancements in robust optimization for investment management," Annals of Operations Research, Springer, vol. 266(1), pages 183-198, July.
    3. Luan, Fei & Zhang, Weiguo & Liu, Yongjun, 2022. "Robust international portfolio optimization with worst‐case mean‐CVaR," European Journal of Operational Research, Elsevier, vol. 303(2), pages 877-890.
    4. Alireza Ghahtarani & Ahmed Saif & Alireza Ghasemi, 2022. "Robust portfolio selection problems: a comprehensive review," Operational Research, Springer, vol. 22(4), pages 3203-3264, September.
    5. Adrian Gepp & Geoff Harris & Bruce Vanstone, 2020. "Financial applications of semidefinite programming: a review and call for interdisciplinary research," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 3527-3555, December.
    6. Jun-ya Gotoh & Akiko Takeda, 2011. "On the role of norm constraints in portfolio selection," Computational Management Science, Springer, vol. 8(4), pages 323-353, November.
    7. Alireza Ghahtarani & Ahmed Saif & Alireza Ghasemi, 2021. "Robust Portfolio Selection Problems: A Comprehensive Review," Papers 2103.13806, arXiv.org, revised Jan 2022.

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    Keywords

    robust optimization; international portfolio optimization; quanto options; semidefinite programming;
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