{"id":20693,"date":"2024-03-29T08:50:52","date_gmt":"2024-03-29T03:20:52","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=20693"},"modified":"2024-03-29T08:50:52","modified_gmt":"2024-03-29T03:20:52","slug":"relationship-of-nifty-50-index-with-gabriel-india-limited","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=20693","title":{"rendered":"Relationship of Nifty 50 Index with GABRIEL INDIA Limited"},"content":{"rendered":"

Relationship of Nifty 50 Index with GABRIEL INDIA Limited<\/u><\/strong><\/p>\n

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Author:<\/strong> Gaurav Bhoir<\/p>\n

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Introduction:<\/strong><\/p>\n

Gabriel India Limited (GIL) is\u00a0an auto component company that manufactures ride control products for passenger cars, utility vehicles, commercial vehicles, and two-wheelers.\u00a0The company was founded in 1961 by Deep C. Anand in collaboration with Maremont Corporation, and is now the flagship company of the Anand group.\u00a0GIL has seven manufacturing plants across India, and its products are also marketed outside India<\/p>\n

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Objective:<\/strong> To find Beta (\u03b2) of GABRIEL INDIA Limited and its significance<\/p>\n

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Data Collection:<\/strong><\/p>\n

Nifty 50 Index and GABRIEL INDIA Limited data was collected from nseindia.com website for the period of one year dating from 1st<\/sup> February 2023 to 31st<\/sup> January 2024. The historical data collected was manipulated using Microsoft Excel to get Friday closing prices of both, the index and the company. Weekly returns were based on the closing prices were calculated using Excel tools and with use of Regression analysis, weekly returns of GABRIEL INDIA Limited were regressed on weekly returns of Nifty 50 Index.<\/p>\n

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Data Analysis:<\/strong><\/p>\n

Equation of regression of weekly returns of GABRIEL INDIA Limited on weekly returns of Nifty 50 Index –<\/p>\n

Format of Regression equation is Y = \u03b1 + \u03b2(X)<\/p>\n

weekly returns of GABRIEL INDIA Limited = -1.662341095 -0.110407569 \u00d7 weekly returns of Nifty 50 Index\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\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\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\u00a0\u00a0\u00a0 (-0.237086927)<\/p>\n

Where,<\/p>\n

Number of Observations = 48,<\/p>\n

R Square = 0.00122047<\/p>\n

F = 0.056210211<\/p>\n

P-value = 0.813642072<\/p>\n

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Interpretation-<\/strong><\/p>\n