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

• Autorzy: Sharma A. , Kuur G. , Bansal J.

Identyfikatory

DOI

10.15439/2017KM39

• Konferencja: International Conference on Information Technology and Knowledge Management (1 ; 22-23.12.2017 ; New Delhi, India)
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

financial analysis; company performance; metodology; outranking methods

PL

analiza finansowa; działalność przedsiębiorstwa; metodologia; metoda wielokryterialna

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2018
• Tom: Vol. 14
• Strony: 145--150
• Opis fizyczny: Bibliogr. 13 poz., tab., il.

Twórcy

autor

Sharma A.

• Shaheed Sukhdev College of Business Studies, India

autor

Kuur G.

• Shaheed Sukhdev College of Business Studies, India

autor

Bansal J.

• Shaheed Sukhdev College of Business Studies, India

Bibliografia

• 1. Halim Kazan, Merve Ertok, Cihan Ciftci (2015) Application of a Hybrid Method in the Financial Analysis of Firm Performance, World Conference on Technology, Innovation and Entrepreneurship
• 2. Velasquez M and Hester P T 2013 An Analysis of Multi-Criteria Decision Making Methods, International Journal of Operations Research 10(2)56-66
• 3. F. C.-G. Pablo Aragonés-Beltrán, Juan-Pascual Pastor-Ferrando and Andrea Pla-Rubio, "An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects," Energy, vol. 66, pp. 222-238, 2014.
• 4. N. M. a. M. J. H. Jahromib, "Propose a model to choose best project by AHP in distributed generation," Procedia Technology, vol. 1, pp. 481-484, 2012.
• 5. T. a. T. A. Nooshin Rahmania, "Developing a Multi Criteria Model for Stochastic IT Portfolio Selection by AHP Method," Procedia - Social and Behavioral Sciences, vol. 62, pp. 1041 – 1045, 2012
• 6. B. Oztaysi, "A decision model for information technology selection using AHP integrated TOPSIS-Grey: The case of content management systems," Knowledge-Based Systems, 2014.
• 7. Albadvi., A., Chaharsooghi, S.K., & Esfahanipour, A. (2007). Decision making in stock trading: an application of PROMETHEE. European Journal of Operational Research, 177, 673-683
• 8. Bhushan, N., Rai, K. (2004). Strategic decision making applying the Analytic Hierarchy Process. The United States of America: Springer.
• 9. Bilsel, R. U., Büyüközkan, G., Ruan, D. (2006). A fuzzy prefernce-ranking model for a quality evaluation of hospital web sites. International Journal of Intelligent Systems, 21, 1181-1197.
• 10. http://www.managementstudyguide.com/decision-making.htm
• 11. https://en.wikipedia.org/wiki/Multiple-criteria_decision_analysis
• 12. https://en.wikipedia.org/wiki/Spearman%27s_rank_correlation_coefficient
• 13. Multiple criteria decision analysis- state of the art surveys- edited by FIGUEIRA, EHRGOTT AND GRECO

Uwagi

1. Preface

2. Technical Session: First International Conference on Information Technology and Knowledge Management