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Multiobjective portfolio optimization: bridging mathematical theory with asset management practice

Author

Listed:
  • Panos Xidonas

    (ESSCA - Ecole Supérieure des Sciences Commerciales d'Angers)

  • Christis Hassapis

    (UCY - University of Cyprus [Nicosia])

  • George Mavrotas

    (NTUA - National Technical University of Athens [Athens])

  • Christos Staikouras

    (AUEB - Athens University of Economics and Business)

  • Constantin Zopounidis

    (Audencia Business School)

Abstract

We attempt to establish an integrated portfolio optimization business framework, in order to bridge the underlying gap between the complex mathematical theory of multiobjective mathematical programming and asset management practice. Our aim is to assist practitioners and portfolio managers in formulating successful investment strategies, by providing them with an effective decision support tool. In particular, we propose a multiobjective portfolio model, able to support the simultaneous optimization of multiple investment objectives. We also manage to integrate a set of sophisticated real-world non-convex investment policy limitations, such as the cardinality constraints, the buy-in thresholds, the transaction costs, along with particular normative rules. The underlying investment management rationale of the proposed managerial protocol is displayed through an illustrative business flowchart, while we also provide an analytical step-by-step portfolio management business routine. The validity of the model is verified through an extended empirical testing application on the Eurostoxx 50. According to the results, a sufficient number of efficient or Pareto optimal portfolios produced by the model, appear to possess superior out-of-sample returns with respect to the underlying benchmark.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Panos Xidonas & Christis Hassapis & George Mavrotas & Christos Staikouras & Constantin Zopounidis, 2016. "Multiobjective portfolio optimization: bridging mathematical theory with asset management practice," Post-Print hal-02879921, HAL.
    • Handle: RePEc:hal:journl:hal-02879921
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    References listed on IDEAS

    as
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    3. Forouli, Aikaterini & Doukas, Haris & Nikas, Alexandros & Sampedro, Jon & Van de Ven, Dirk-Jan, 2019. "Identifying optimal technological portfolios for European power generation towards climate change mitigation: A robust portfolio analysis approach," Utilities Policy, Elsevier, vol. 57(C), pages 33-42.
    4. Jules Raymond Kala & Didier Michael Kre & Armelle N’Guessan Gnassou & Jean Robert Kamdjoug Kala & Yves Melaine Akpablin Akpablin & Tiorna Coulibaly, 2022. "Assets management on electrical grid using Faster-RCNN," Annals of Operations Research, Springer, vol. 308(1), pages 307-320, January.

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