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Annals of Computer Science and Information Systems, Volume 14

Proceedings of the 2017 International Conference on Information Technology and Knowledge Management

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A comparative analysis of promethee, ahp and topsis aiding in financial analysis of firm performance

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DOI: http://dx.doi.org/10.15439/2017KM39

Citation: Proceedings of the 2017 International Conference on Information Technology and Knowledge Management, Ajay Jaiswal, Vijender Kumar Solanki, Zhongyu (Joan) Lu, Nikhil Rajput (eds). ACSIS, Vol. 14, pages 145–150 ()

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Abstract. Multi-criteria decision making methods are extensively used in the decision making problems. Decision making is the activity of a person that helps obtain responses to the questions posed by a stakeholder in a decision process. This study compares the financial performance of seven companies in the banking sector listed on the National Stock Exchange (NSE) for years from 2014 to 2017. The PROMETHEE, AHP and TOPSIS methods are used independently to evaluate the financial performance and to decide on the best performing firm for the four year period. The evaluated ranks are then compared with the actual ranks (based on investments) using Spearman's rank correlation. The calculation of financial performance measures is based on four main criteria and nine sub-criteria. Using the following methods, our study suggests that Punjab National Bank (PNB) has the best financial performance as compared to other companies.

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