An application of TOPSIS and BWM for portfolio allocation

Amrei, S.; Teymourian, A.

Abstract: This article introduces a comprehensive analysis of 20 leading companies, scrutinized through their financial metrics across various sectors. By deploying multi-criteria decision-making (MCDM) techniques, we aim to offer investors a clear and objective perspective on which companies stand out as the best investment options. Among the MCDM techniques, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is utilized, renowned for its efficiency in handling complex decision-making scenarios which is conducted by two clauses. 1) Implementing TOPSIS with assigning equal weights and same share to every chosen metrics as criteria and 2) employ BWM (Best Worst Method) to calculate these weights base on their significance and relevancy to the prosses of ranking. According to the Result gained from the computation, ranks 1 to 5 belong to the similar companies with both assumptions which are Ford Motor Co, BP plc, Tesla Inc, General Motors Co and Exxon Mobil Corp. The consistency in rankings across two different weighting assumptions highlights the robustness of the criteria used, ensuring stable and reliable outcomes. This enhances the credibility of the findings, making them more trustworthy and citable for those who seek reliable and robust methodologies for informed investment decisions.

How to cite this paper

        APA: Amrei, S & Teymourian, A. (2024). An application of TOPSIS and BWM for portfolio allocation. Accounting, 10(4), 221-228.
    

        Chicago/Turabian: Amrei, S & Teymourian, A. 2024. "An application of TOPSIS and BWM for portfolio allocation." Accounting 10, no. 4 (2024): 221-228.
    

        AMA: Amrei, S & Teymourian, A. An application of TOPSIS and BWM for portfolio allocation. Accounting. 2024;10(4):221-228.
    

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