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The major objectives of this study are to know to identify the role of IT in management of BSE & NSE, to know the sources of Investments Information and to know Online trading Platform and its satisfaction with respect to various demographic factors of the investors. In the research paper researchers have try to analyse these objectives on the basis of 100 structure questionnaire and frequency analysis, percentage, WAM, Mann Whitely U test, and Kruskal Wallis test . Through this study, researchers have found that the majority investors are satisfied with the current trading system of Indian capital market i.e. about 64%. 12% investors are strongly satisfied with the current trading system of Indian capital market. 20% investors are neither satisfied nor dissatisfied with the current trading system of Indian capital market. Further, Only 4% investors are dissatisfied with the current trading system of Indian capital market. It is believe that information technology affects the Indian capital market i.e. 70%. 18% investors believe that information technology affects strongly the Indian capital market. It is also shows there is no significant difference between means of Satisfactions with current trading system of Indian capital market with respect to male and female, and on the basis of kruskal Wallis test there is no significant difference between means of Satisfaction with current trading system of Indian capital market with respect to Education Qualification, Age Groups, and Monthly Income.
Keywords:
Kruskal Wallis test, Mann Whitely U, Online trading system, WAM, Capital Market, Demographic factors
Cite Article:
"Role of Information Technology in Indian Capital Market: In context to Online Trading System on BSE and NSE", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.974 - 982, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206158.pdf
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000205228
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator