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A Novel Integrated Strategic Portfolio Decision-Making Model

Author

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  • Darius Danesh

    (School of Engineering and Information Technology, University of New South Wales (UNSW), Sydney, Australia)

  • Michael J. Ryan

    (School of Engineering and Information Technology, University of New South Wales (UNSW), Sydney, Australia)

  • Alireza Abbasi

    (School of Engineering and Information Technology, University of New South Wales (UNSW), Sydney, Australia)

Abstract

This study proposes a novel method for portfolio selection/decision making that combines the Portfolio Theory (PT), Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) cross-efficiency technique. It takes into account the profits, risks and proficiency of a portfolio and is shown to be useful for selecting one with positive and negative data and subsequently measuring its efficiency using AHP, with a consistency test conducted to verify the objectivity of the results. To test the applicability of the proposed model, it is used to determine the efficiency levels of ten of the largest companies in Australia for the years 2014 and 2015. Two criteria, namely, the expected return and variance, are used to identify the preference status of each company. The results indicate that the proposed model is feasible and adoptable for the contemporary industrial scenario as it simultaneously analyses profits, risks and proficiency.

Suggested Citation

  • Darius Danesh & Michael J. Ryan & Alireza Abbasi, 2017. "A Novel Integrated Strategic Portfolio Decision-Making Model," International Journal of Strategic Decision Sciences (IJSDS), IGI Global, vol. 8(3), pages 1-44, July.
    • Handle: RePEc:igg:jsds00:v:8:y:2017:i:3:p:1-44
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