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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Comparative Analysis of AHP and Its Integrated Techniques Applied for Stock Index Ranking
verfasst von : H. S. Hota, Vineet Kumar Awasthi, Sanjay Kumar Singhai
Erschienen in: Progress in Intelligent Computing Techniques: Theory, Practice, and Applications
Verlag: Springer Singapore
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Abstract
Selection of stock index is a crucial task in financial decision-making process, especially when selection criterion is conflicting in nature. Multicriteria decision-making (MCDM) method like analytical hierarchy process (AHP) is one of the most widely used method, which may be utilized in the financial domain. This paper utilizes AHP and its integrated approaches using technique for order preference by similarity to ideal solution (TOPSIS) and simple additive weighting (SAW) for ranking of stock index. Three financial years data of six indices with six criteria are considered in the selection process. Experimental results reveals that S&P BSE SENSEX index is performing consistently well for all three financial years in case of all the techniques.