\u00a0<\/p>\n
Title: Relation of Nifty 50 with Reliance Industry<\/span><\/b><\/p>\n Author<\/span><\/b>: Rahul Sawalkar- 44<\/b><\/span><\/p>\n \u00a0<\/span><\/p>\n Introduction:<\/span><\/b><\/p>\n This study examines the relationship between the performance of the Nifty Fifty index and the stock returns of Reliance Industry. The objective is to analyze how movements in the overall market influence the returns of Reliance Industry. For this purpose, secondary data on daily or monthly returns of both Nifty Fifty and Reliance Industry is collected and analyzed using regression analysis. The methodology helps estimate the beta value and determine the extent to which market fluctuations affect the company\u2019s stock performance.<\/span><\/p>\n \u00a0<\/span><\/p>\n Objective:<\/span><\/b> Calculation of Beta and observe its significance<\/span><\/p>\n \u00a0<\/span><\/p>\n Literature review:<\/span><\/b><\/p>\n Lalitha (2025) finds that beta captures the market risk of NSE stocks, though its explanatory power can vary across periods. She suggests using beta alongside other risk measures to achieve more accurate risk assessments for portfolio management. <\/span><\/p>\n Basanna and Konnur (2019) highlight that beta in the Single Index Model helps construct optimal portfolios using NIFTY\u202f50 stocks.They demonstrate how beta links individual stock returns to the market index, guiding investment and risk decisions.<\/span><\/p>\n Data collection:<\/span><\/b><\/p>\n Data for Nifty 50 and Reliance Industry was downloaded by Nseindia.com for the period 1\/1\/2025 to 31\/12\/2025 Friday closing price for Nifty 50 and Reliance Industry were calculated. Weekly returns of Nifty 50 were taken as X and Weekly return of Reliance Industry were taken as Y. Y was regressed on X.<\/span><\/p>\n \u00a0<\/span><\/b><\/p>\n Data Analysis: <\/span><\/b><\/p>\n Y=0.2737+1.2437X\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/p>\n N= 48\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span>R Square= 0.52\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span>F= 50.05<\/span><\/p>\n P= 7.0383E-09\u00a0 \u00a0 \u00a0 \u00a0 \u00a0<\/span>B= 1.2437\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span>T-Stat= 7.0748<\/span><\/p>\n \u00a0<\/span><\/b><\/p>\n The above Equation shows the relationship between NIFTY 50 and Reliance Industry. Positive means their Direct relation which means if NIFTY 50 stock rises Reliance Industry stock rise and vice versa. If NIFTY 50 stock increases by 1 unit, the Reliance Industry stock increases by 1.2437 units. Number of observations is 48. T-stat for beta is 7.0748. The P value is 7.0383E-09 less than 0.5 meaning Beta is statistically significant at 5% level. R square is 0.52 meaning 52% is explained by Market return and 48% is the error due to the variable not included in model. F is 50.05 and P value is 7.0383E-09 less than 0.5 meaning Beta is statistically significant at 5% level <\/span><\/p>\n \u00a0<\/span><\/p>\n Conclusion:<\/span><\/b><\/p>\n B>1 , Hence invest for short term if Nifty 50 rise<\/span><\/p>\n \u00a0<\/span><\/b><\/p>\n Reference: <\/span><\/b><\/p>\n Lalitha, N. (2025). A Test of Risk\u2013Return Relationship for Stocks Traded on the NSE<\/i>. Indian Journal of Research in Capital Markets, 12<\/i>(1), 27\u201340.<\/span><\/p>\n Basanna, P., & Konnur, N. P. (2019). Construction of an Optimal Portfolio Using the Single Index Model: An Empirical Study of Nifty50 Stocks<\/i>. Indian Journal of Research in Capital Markets, 6<\/i>(4), 20\u201335.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":" \u00a0 Title: Relation of Nifty 50 with Reliance Industry Author: Rahul Sawalkar- 44 \u00a0 Introduction: This study examines the relationship between the performance of the Nifty Fifty index and the stock returns of Reliance Industry. The objective is to analyze how movements in the overall market influence the returns of Reliance Industry. For this purpose,… Continue reading Relation of Nifty 50 with Reliance Industry<\/span><\/a><\/p>\n","protected":false},"author":140120,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-24974","post","type-post","status-publish","format-standard","hentry","category-uncategorized","entry"],"_links":{"self":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/24974","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/users\/140120"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=24974"}],"version-history":[{"count":1,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/24974\/revisions"}],"predecessor-version":[{"id":24975,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/24974\/revisions\/24975"}],"wp:attachment":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=24974"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=24974"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=24974"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}