{"id":21534,"date":"2024-10-10T07:11:09","date_gmt":"2024-10-10T01:41:09","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=21534"},"modified":"2024-10-10T07:11:09","modified_gmt":"2024-10-10T01:41:09","slug":"relationship-of-siemens-with-nifty-50","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=21534","title":{"rendered":"Relationship of Siemens with Nifty 50"},"content":{"rendered":"<p><strong>Title:<\/strong> <u>Relationship of Siemens with Nifty 50<\/u><\/p>\n<p><strong>Author: SAUD SHAIKH<\/strong><\/p>\n<p><strong>Introduction:<\/strong> <strong>Siemens AG<\/strong> is a German\u00a0multinational\u00a0technology conglomerate founded by Siemens &amp; Halske on 1 October 1847. It is focused on\u00a0industrial automation, distributed energy resources,\u00a0rail transport\u00a0and\u00a0health technology. Siemens is the largest industrial manufacturing company in Europe and holds the position of global market leader in industrial automation and industrial\u00a0software.<\/p>\n<p><strong>Objectives:<\/strong> To find out Beta of Siemens and its significant<\/p>\n<p><strong>Data collection<\/strong>: The data was collected by taking the weekly return of NSE (National Stock Exchange), NIFTY50, and Siemens for 1 year from 1st May 2023 to 1st April 2024 with the help of the NSE site. Friday&#8217;s closing price and weekly return were calculated by formula.<\/p>\n<p>(y_(y-1)-\u3016 y\u3017_t)\/y_t \u00d7100\u00a0<\/p>\n<p>The weekly return of Nifty was taken as (X) in terms of company (Siemens) as Y is taken. Y was regressed on X<strong>.<\/strong><\/p>\n<p>\u00a0<\/p>\n<table width=\"498\">\n<tbody>\n<tr>\n<td width=\"16\">\n<p><em>\u00a0<\/em><\/p>\n<\/td>\n<td width=\"16\">\n<p><em>\u00a0<\/em><\/p>\n<\/td>\n<td width=\"67\">\n<p><em>\u00a0<\/em><\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"126\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"67\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"126\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"67\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"126\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"67\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"126\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"67\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"126\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"67\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"126\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"67\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"16\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"126\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<td width=\"64\">\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Data Analysis: <\/strong>Regression equation; Y (Intercept)= Siemens + NIFTY 50 (weekly return of nifty). Relationship of Nifty 50 and Siemens N=47, R square= 0.00017, F=0.075, P value=0.015<\/p>\n<p>\u00a0<\/p>\n<p>The above equation shows the relationship between Nifty 50 and Siemens positive significant before the coefficient of Nifty 50 tells us that there is a positive relationship. If Nifty rises 1 unit Siemens will rise by 0.502 and vice versa. The figure in bracket is t-state for beta and p value for which is 0.015 which is less than 0.005, meaning beta is statistically N=47, R square is 0.001714 which means 67% of your company\u2019s return all explained by Nifty 50 F=0.075561 and the p value for that is\u00a0\u00a0 0.015 it is less than\u00a0\u00a0\u00a0 meaning overall model is statistically significant % level.<\/p>\n<p><strong>Conclusion: <\/strong>As per the given data of the RELATIONSHIP OF SIEMENS WITH NIFTY50. We know that: &#8211; beta value &gt; negative, means the company (Siemens) is good for investment. Showing investment interest\u00a0is\u00a0beneficial.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Title: Relationship of Siemens with Nifty 50 Author: SAUD SHAIKH Introduction: Siemens AG is a German\u00a0multinational\u00a0technology conglomerate founded by Siemens &amp; Halske on 1 October 1847. It is focused on\u00a0industrial automation, distributed energy resources,\u00a0rail transport\u00a0and\u00a0health technology. 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