Problem Title:
\nTo determine RELATIONSHIP OF Nifty and SAIL. <\/p>\n
Author \u2013 Saloni Choudhary <\/p>\n
INTRODUCTION OF COMPANY <\/p>\n
Steel Authority of India Limited (SAIL) is a government owned steel producer based
\nin New Delhi, India. It is under the ownership of Ministry of Steel, Government of
\nIndia with an annual turnover of INR 68,452 Crore (US$9.32 billion) for fiscal year
\n2020\u201321. Incorporated on 24 January 1973, SAIL has 62,620 employees (as of 1
\nFebruary 2022).
\nWith an annual production of 16.30 million metric tons, SAIL is the 20th largest steel
\nproducer in the world and the largest in India. The Hot Metal production capacity of
\nthe company will further increase and is expected to reach a level of 50 million
\ntonnes per annum by 2025. Smt Soma Mondal is the current Chairman of SAIL. <\/p>\n
OBJECTIVE<\/p>\n
To calculate beta of company and find its significance<\/p>\n
Data Collection:<\/p>\n
Data was collected from the NSE Website which comprises of historic data for the
\npast 1 year. The Friday of each week of the year was taken into consideration. The
\nresultant was calculated, and regression was performed on the data. <\/p>\n
Data Analysis:<\/p>\n
We know Y= a +bx1<\/p>\n
Where b is the beta value.<\/p>\n
H0 \u2013 Null Hypothesis<\/p>\n
H1 \u2013 Alternate Hypothesis<\/p>\n
If the beta coefficient is significant, the interpretation is that for every 1-unit increase
\nin the predictor variable, the outcome variable will increase by the beta coefficient
\nvalue.<\/p>\n
It was found that R Square is 0.0036, the regression Equation was found to be<\/p>\n
Y= 0.2561- 0.0199X<\/p>\n
Here Beta value is -0.0199<\/p>\n
SUMMARY OUTPUT<\/p>\n
Regression Statistics<\/p>\n
Multiple R 0.060002
\nR Square 0.0036
\nAdjusted R
\nSquare -0.01905
\nStandard Error 2.152681
\nObservations 46<\/p>\n
Interpretations:<\/p>\n
We can see that the R square value is 0.028378, which means that Nifty can explain
\n0.28 % of the weekly returns of SAIL. Because the proportion is smaller, we may
\ndeduce that SAIL. does not follow the Nifty trend.
\nCoefficients Standard
\nError
\nt Stat P-value Lower
\n95%
\nUpper
\n95%
\nLower
\n95.0%
\nUpper
\n95.0%
\nIntercept 0.256169 0.317515 0.806793 0.424125 -0.38374 0.896079 -0.38374 0.896079
\n-0.01992 0.049966 -0.39872 0.692025 -0.12062 0.080777 -0.12062 0.080777
\nWe can observe here that the Beta value is – 0.0199 meaning that 1 unit change in
\nNifty leads to – 0.0199 change in weekly returns of SAIL. We also need to note that
\nthe value is beta is negative indicating the presence of a negative relationship
\nbetween the two variables.<\/p>\n
ANOVA<\/p>\n
df SS MS F
\nSignificance
\nF
\nRegression 1 0.736725 0.736725 0.158981 0.692025
\nResidual 44 203.8975 4.634035
\nTotal 45 204.6343
\nH0: Nifty is not influencing the weekly returns of SAIL.
\nH1: Nifty is influencing the weekly returns of SAIL.
\nHere as the F value is 0.158981 which is less than 4, thus we can accept the null
\nhypothesis and reject the alternate hypothesis, concluding that nifty is not
\ninfluencing the weekly returns of SAIL.
\nAlso, the Significance F value is 0.692025 which is more than .025 thus the model
\nis not significant. <\/p>\n","protected":false},"excerpt":{"rendered":"
Problem Title: To determine RELATIONSHIP OF Nifty and SAIL. Author \u2013 Saloni Choudhary INTRODUCTION OF COMPANY Steel Authority of India Limited (SAIL) is a government owned steel producer based in New Delhi, India. It is under the ownership of Ministry of Steel, Government of India with an annual turnover of INR 68,452 Crore (US$9.32 billion)… Continue reading SALONI CHOUDHARY 80012100226<\/span><\/a><\/p>\n","protected":false},"author":91407,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7,38,9],"tags":[],"class_list":["post-15973","post","type-post","status-publish","format-standard","hentry","category-business","category-finance","category-management","entry"],"_links":{"self":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/15973","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\/91407"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=15973"}],"version-history":[{"count":1,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/15973\/revisions"}],"predecessor-version":[{"id":16177,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/15973\/revisions\/16177"}],"wp:attachment":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=15973"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=15973"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=15973"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}