{"id":20781,"date":"2024-03-29T08:50:18","date_gmt":"2024-03-29T03:20:18","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=20781"},"modified":"2024-03-29T08:50:18","modified_gmt":"2024-03-29T03:20:18","slug":"relationship-of-nifty-50-index-with-alkem-laboratories-limited","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=20781","title":{"rendered":"Relationship of Nifty 50 Index with Alkem Laboratories Limited"},"content":{"rendered":"

Relationship of Nifty 50 Index with Alkem Laboratories Limited<\/u><\/strong><\/p>\n

Author:<\/strong> Anuj Bhore<\/p>\n

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

Alkem Laboratories is an emerging company based in Edinburgh, Scotland that focuses on developing energy storage solutions for grid-scale applications. The company has developed a unique technology that utilizes capacitive energy storage to provide power when traditional energy sources are not available. The technology is designed to be cost-effective and environmentally friendly, making it an attractive solution for renewable energy applications. Alkem Laboratories has received funding from several investors and has partnered with several major players in the energy industry.<\/p>\n

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

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

Nifty 50 Index and Alkem Laboratories 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 Alkem Laboratories 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 Alkem Laboratories Limited on weekly returns of Nifty 50 Index-<\/p>\n

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

weekly returns of Alkem Laboratories Limited = – 0.8710 – 0.1921 \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<\/p>\n

(-0.5416 )<\/p>\n

Where,<\/p>\n

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

R Square = 0.0063,<\/p>\n

F = 0.293293,<\/p>\n

P-value = 0.590732<\/p>\n

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Interpretation-<\/p>\n