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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/11253
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dc.contributor.authorMathur, Trilok-
dc.contributor.authorAgarwal, Shivi-
dc.date.accessioned2023-08-09T09:25:53Z-
dc.date.available2023-08-09T09:25:53Z-
dc.date.issued2019-
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-981-13-8618-3_42-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11253-
dc.description.abstractThe stock market is considered as one of the most vital components of a free-market economy. The investments of the stock market are associated with a greater amount of risk. Due to the uncertainty associated with stocks, there is a great need to understand the trend in rising and fall of stocks corresponding to a particular sector or an industry to invest profitably. In view of this, authors have taken up a study to identify the best sector in BSE SENSEX for investments. Fuzzy Analytical Hierarchy Process is used to evaluate and study the dominance of various sectors including Automobile, Finance, Information technology, Oil, Pharmaceuticals, and Power. Four crucial derivatives criteria’s Return on equity, Book value per share, Price-earnings ratio, Price to book ratio are considered to study the dominance of each sector. The results of this study help in prioritizing the sectors for future investments.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectMathematicsen_US
dc.subjectFuzzy analytical hierarchy processen_US
dc.subjectSectorsen_US
dc.subjectSatty scaleen_US
dc.subjectPerformance index of sectorsen_US
dc.subjectBSE SENSEXen_US
dc.titleHierarchy of Sectors in BSE SENSEX for Optimal Equity Investments Using Fuzzy AHPen_US
dc.typeArticleen_US
Appears in Collections:Department of Mathematics

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