ANALYTICAL HIERARCHY PROCESS (AHP) BASED PORTFOLIO RANKING OF BOMBAY STOCK EXCHANGE (BSE)
DOI:
https://doi.org/10.29121/shodhkosh.v5.i1.2024.4626Keywords:
Multi criteria decision making (MCDM), Analytical Hierarchy Process (AHP), Bombay Stock Exchange (BSE)Abstract [English]
Selection of stock index is a crucial task in financial decision-making process specially when criterion are conflicting in nature. Multi criteria decision making (MCDM) techniques like AHP, CoCoSo etc. are the best method to solve these types of problems. The main aim of this research article is to use the application of Analytical Hierarchy Process (AHP) to rank the portfolios available in Bombay Stock Exchange (BSE). AHP is the best method to manage multiple criterion to produce best outcome. Three financial years data of ten indices of BSE with six criterion are considered in the ranking process. Experimental results reveal that BSE SENSEX index is performing consistently well for all three financial years.
References
Buyukozkan, G. & Cifci G. (2012). A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry, Expert Systems with Applications 39, 2341–2354. DOI: https://doi.org/10.1016/j.eswa.2011.08.061
Bevilacqua, M., D’Amore, A. & Polonara, F (2004). A Multi-Criteria Decision Approach to Choosing The Optimal Blanching-Freezing System, Journal of Food Engineering, 63, 253-263. DOI: https://doi.org/10.1016/j.jfoodeng.2003.07.007
Chou, Y., Sun C. & Yen H. (2012). Evaluating the criteria for human resource for science and technology (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach, Applied Soft Computing, 12, 64–71. DOI: https://doi.org/10.1016/j.asoc.2011.08.058
Durán, O. (2011). Computer-aided maintenance management systems selection based on a fuzzy AHP approach, Advances in Engineering Software 42, 821–829. DOI: https://doi.org/10.1016/j.advengsoft.2011.05.023
Hota, H. S., Awasthi, V. K. & Singhai S. K. (2016). Comparative Analysis of AHP and Its Integrated Techniques Applied for Stock index Ranking, Proceeding of ICACNI 2016, 2, 127-134. DOI: https://doi.org/10.1007/978-981-10-3376-6_14
Hota, H. S., Awasthi, V. K. & Singhai, S. K. (2015), AHP Method Applied for Portfolio Ranking of Various Indices and Its Year Wise Comparison, International Journal of Research Studies in Computer Science and Engineering (IJRSCSE), 53-57.
Hota, H. S., Awasthi, V. K. & Singhai, S. K. (2017), Expert Portfolio System Using Integrated MCDM-GP approach, Review of Business and Technology Research, 14(2), 1-6.
Hota H.S., Sharma L.K. & Pavani S.,Fuzzy (2014), TOPSIS Method Applied for Ranking of Teacher in Higher Education, Intelligent computers, Networking & Informatics, 243, 1225-1232. DOI: https://doi.org/10.1007/978-81-322-1665-0_127
Hwang, C. L., & Yoon, K. S. (1981), Multiple attribute decision making: Methods and Applications, Berlin, Springer-Verlag. DOI: https://doi.org/10.1007/978-3-642-48318-9
Markowitz, H.M. (1952), Portfolio selection, Journal of Finance ,7 ,77-91. DOI: https://doi.org/10.1111/j.1540-6261.1952.tb01525.x
Nasoli, A., Pourdarab, S. & Nosrotabadi H.E. (2012), Class Labelling of Bank Credits Customers Using AHP and SAW for Credit Scoring with Data Mining Algorithm, International Journal of Computer Theory and Engineering, 4.
Row, R. V.(2010), Decision Making in the Manufacturing Environment, Springer, 3, 28-40.
Fishburn, P C (1967), Additive Utilities with Incomplete Product Set: Application to Priorities and Assignment. Operation Research Society of America, Baltimore. DOI: https://doi.org/10.1287/opre.15.3.537
Saaty, T. L. (2001), Decision Making with Dependence and Feedback: Analytic Network Process, RWS Publications, Pittsburgh.
Sharma, D. K., Hota, H. S. & Awasthi, V. K. (2022). An integrated K-means-GP approach for US stock
fund diversification and its impact due to COVID-19, Int. J. Computational Economics and Econometrics,12(4), 381-404.
Tsita, K. G. & Pilavachi, P. A. (2012), Evaluation of alternative fuels for the Greek road transport sector using the analytic hierarchy process, Energy Policy, 48, 677–686. DOI: https://doi.org/10.1016/j.enpol.2012.05.079
Web source www.bseindia.com last accessed on January 2015
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Copyright (c) 2024 Anupama Pandey, Ragini Shukla, Vineet Kumar Awasthi
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