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Grouped data, investment committees & multicriteria portfolio selection

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  • Xidonas, Panos
  • Doukas, Haris
  • Hassapis, Christis

Abstract

Little attention has been paid to the necessity of a principal business context, in which the members of an investment committee decide for the optimal synthesis of portfolios, taking into account several and conflicting investment criteria. The underlying gap widens significantly, considering that mainstream portfolio theory fails to accommodate, both additional investment objectives, beyond expected return and variance, and analysts’ forecasts, when these are coming in the form of discrete recommendations. Our central contribution in this paper is associated with the introduction and standardization of a unified decision support business framework, which deals with all the above complexities and facilitates asset managers in their professional practice. Extensive out-of-sample empirical testing, based on the Dow Jones Industrial Average for a 10-year time period, provides evidence that investment portfolios generated by the methodology, appear with, either equal or superior risk-adjusted return performance, against various benchmarks.

Suggested Citation

  • Xidonas, Panos & Doukas, Haris & Hassapis, Christis, 2021. "Grouped data, investment committees & multicriteria portfolio selection," Journal of Business Research, Elsevier, vol. 129(C), pages 205-222.
  • Handle: RePEc:eee:jbrese:v:129:y:2021:i:c:p:205-222
    DOI: 10.1016/j.jbusres.2021.02.044
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    References listed on IDEAS

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    2. Wu, Qun & Liu, Xinwang & Qin, Jindong & Zhou, Ligang & Mardani, Abbas & Deveci, Muhammet, 2022. "An integrated multi-criteria decision-making and multi-objective optimization model for socially responsible portfolio selection," Technological Forecasting and Social Change, Elsevier, vol. 184(C).

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