{"id":23234,"date":"2025-12-20T17:49:12","date_gmt":"2025-12-20T12:19:12","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=23234"},"modified":"2025-12-20T17:49:12","modified_gmt":"2025-12-20T12:19:12","slug":"relationship-of-nifty-50-with-dr-reddys-laboratories-limited","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=23234","title":{"rendered":"Relationship of Nifty 50 with Dr. Reddy\u2019s Laboratories Limited"},"content":{"rendered":"<p style=\"text-align: center\"><b><i><span style=\"font-size: 14.0pt;line-height: 107%;font-family: 'Aptos',sans-serif\">Author: Diksha Patil<\/span><\/i><\/b><\/p>\n<p class=\"MsoNormal\"><b><i><span style=\"font-size: 14.0pt;line-height: 107%\">Introduction:<\/span><\/i><\/b><\/p>\n<p class=\"MsoNormal\">Dr. Reddy&#8217;s Laboratories is a leading Indian multinational pharmaceutical company. In finance, evaluating a stock&#8217;s performance relative to a market benchmark (like the NIFTY 50) is essential for understanding its risk-return profile. This analysis uses the Capital Asset Pricing Model (CAPM) framework to determine the stock&#8217;s systematic risk, commonly known as Beta.<\/p>\n<p class=\"MsoNormal\"><b><i><span style=\"font-size: 14.0pt;line-height: 107%\">Objective:<\/span><\/i><\/b><\/p>\n<p class=\"MsoNormal\">The primary objectives of this analysis are:<\/p>\n<ul style=\"margin-top: 0cm\" type=\"disc\">\n<li class=\"MsoNormal\">To calculate the Beta of Dr. Reddy&#8217;s Laboratories to assess its sensitivity to market movements.<\/li>\n<li class=\"MsoNormal\">To evaluate the statistical significance of the relationship between the stock and the index.<\/li>\n<li class=\"MsoNormal\">To analyze the volatility and return characteristics of the stock compared to the benchmark.<\/li>\n<\/ul>\n<p class=\"MsoNormal\"><b><i><span style=\"font-size: 14.0pt;line-height: 107%\">Literature Review:<\/span><\/i><\/b><\/p>\n<p class=\"MsoNormal\">In financial theory, the Capital Asset Pricing Model (CAPM) posits that the expected return of an asset is a function of the risk-free rate and a risk premium based on the asset&#8217;s Beta.<\/p>\n<ul style=\"margin-top: 0cm\" type=\"disc\">\n<li class=\"MsoNormal\"><b>Beta:<\/b> Measures the systematic risk. A beta &gt; 1 implies the stock is more volatile than the market (aggressive), while a beta &lt; 1 implies it is less volatile (defensive).<\/li>\n<li class=\"MsoNormal\"><b>R-Squared (R^2):<\/b> Represents the proportion of the variance for a dependent variable that&#8217;s explained by an independent variable in a regression model.<\/li>\n<li class=\"MsoNormal\"><b>Alpha:<\/b> Represents the excess return of an investment relative to the return of a benchmark index.<\/li>\n<\/ul>\n<p class=\"MsoListParagraphCxSpFirst\" style=\"text-indent: -18.0pt\"><a name=\"_Hlk217045244\"><\/a><!-- [if !supportLists]--><span style=\"font-size: 10.0pt;line-height: 107%;font-family: Symbol\"><span>\u00b7<span style=\"font: 7.0pt 'Times New Roman'\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span><!--[endif]--><b>Regression Equation:<\/b> The relationship is modeled as:<\/p>\n<p class=\"MsoListParagraphCxSpMiddle\"><!-- [if gte vml 1]&gt;--><\/p>\n<p><!-- [if !vml]--><\/p>\n<table cellspacing=\"0\" cellpadding=\"0\" align=\"left\">\n<tbody>\n<tr>\n<td width=\"346\" height=\"392\">\u00a0<\/td>\n<\/tr>\n<tr>\n<td>\u00a0<\/td>\n<td><img loading=\"lazy\" decoding=\"async\" src=\"\/Users\/meem\/AppData\/Local\/Packages\/oice_16_974fa576_32c1d314_35bf\/AC\/Temp\/msohtmlclip1\/01\/clip_image001.png\" width=\"208\" height=\"21\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><!--[endif]--><span>\u00a0<\/span><\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p class=\"MsoListParagraphCxSpMiddle\" style=\"text-align: center\" align=\"center\"><span><i>Ri = Alpha + Beta (Rm) + Epsilon<\/i><\/span><\/p>\n<p class=\"MsoListParagraphCxSpLast\"><span><br \/>Where <i>Ri<\/i> is the stock return, <i>Rm<\/i> is the market return, alpha is the intercept (excess return), and epsilon is the error term.<\/span><\/p>\n<p class=\"MsoNormal\"><b><i><span style=\"font-size: 14.0pt;line-height: 107%\">Data Collection:<\/span><\/i><\/b><\/p>\n<p class=\"MsoNormal\">The data consists of weekly closing prices and returns for:<\/p>\n<ul style=\"margin-top: 0cm\" type=\"disc\">\n<li class=\"MsoNormal\"><b>Dependent Variable (Y):<\/b> Dr. Reddy&#8217;s Laboratories (Stock).<\/li>\n<li class=\"MsoNormal\"><b>Independent Variable (X):<\/b> NIFTY 50 (Market Index).<\/li>\n<li class=\"MsoNormal\"><b>Timeframe:<\/b> December 1, 2024, to November 30, 2025 (48 weekly observations).<\/li>\n<li class=\"MsoNormal\"><b>Source:<\/b> National Stock Exchange (NSE) via the provided CSV dataset.<\/li>\n<\/ul>\n<p class=\"MsoNormal\"><b><i><span style=\"font-size: 14.0pt;line-height: 107%\">Data Analysis:<\/span><\/i><\/b><\/p>\n<p class=\"MsoNormal\">The analysis was performed using linear regression on the weekly returns of the stock and the index.<\/p>\n<p class=\"MsoNormal\"><b>Descriptive Statistics<\/b><\/p>\n<table class=\"MsoNormalTable\" style=\"width: 450.15pt\" border=\"0\" width=\"600\" cellspacing=\"3\" cellpadding=\"0\">\n<thead>\n<tr style=\"height: 22.75pt\">\n<td style=\"border: solid windowtext 1.0pt;padding: .75pt .75pt .75pt .75pt;height: 22.75pt\">\n<p class=\"MsoNormal\"><b>Metric<\/b><\/p>\n<\/td>\n<td style=\"border: solid windowtext 1.0pt;padding: .75pt .75pt .75pt .75pt;height: 22.75pt\">\n<p class=\"MsoNormal\"><b>Dr. Reddy&#8217;s (Stock)<\/b><\/p>\n<\/td>\n<td style=\"border: solid windowtext 1.0pt;padding: .75pt .75pt .75pt .75pt;height: 22.75pt\">\n<p class=\"MsoNormal\"><b>NIFTY 50 (Index)<\/b><\/p>\n<\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"height: 22.75pt\">\n<td style=\"border: solid windowtext 1.0pt;padding: .75pt .75pt .75pt .75pt;height: 22.75pt\">\n<p class=\"MsoNormal\"><b>Mean Weekly Return<\/b><\/p>\n<\/td>\n<td style=\"border: solid windowtext 1.0pt;padding: .75pt .75pt .75pt .75pt;height: 22.75pt\">\n<p class=\"MsoNormal\">0.049%<\/p>\n<\/td>\n<td style=\"border: solid windowtext 1.0pt;padding: .75pt .75pt .75pt .75pt;height: 22.75pt\">\n<p class=\"MsoNormal\">-0.108%<\/p>\n<\/td>\n<\/tr>\n<tr style=\"height: 22.75pt\">\n<td style=\"border: solid windowtext 1.0pt;padding: .75pt .75pt .75pt .75pt;height: 22.75pt\">\n<p class=\"MsoNormal\"><b>Standard Deviation (Volatility)<\/b><\/p>\n<\/td>\n<td style=\"border: solid windowtext 1.0pt;padding: .75pt .75pt .75pt .75pt;height: 22.75pt\">\n<p class=\"MsoNormal\">3.43%<\/p>\n<\/td>\n<td style=\"border: solid windowtext 1.0pt;padding: .75pt .75pt .75pt .75pt;height: 22.75pt\">\n<p class=\"MsoNormal\">1.88%<\/p>\n<\/td>\n<\/tr>\n<tr style=\"height: 22.75pt\">\n<td style=\"border: solid windowtext 1.0pt;padding: .75pt .75pt .75pt .75pt;height: 22.75pt\">\n<p class=\"MsoNormal\"><b>Minimum Weekly Return<\/b><\/p>\n<\/td>\n<td style=\"border: solid windowtext 1.0pt;padding: .75pt .75pt .75pt .75pt;height: 22.75pt\">\n<p class=\"MsoNormal\">-7.24%<\/p>\n<\/td>\n<td style=\"border: solid windowtext 1.0pt;padding: .75pt .75pt .75pt .75pt;height: 22.75pt\">\n<p class=\"MsoNormal\">-5.04%<\/p>\n<\/td>\n<\/tr>\n<tr style=\"height: 22.75pt\">\n<td style=\"border: solid windowtext 1.0pt;padding: .75pt .75pt .75pt .75pt;height: 22.75pt\">\n<p class=\"MsoNormal\"><b>Maximum Weekly Return<\/b><\/p>\n<\/td>\n<td style=\"border: solid windowtext 1.0pt;padding: .75pt .75pt .75pt .75pt;height: 22.75pt\">\n<p class=\"MsoNormal\">7.18%<\/p>\n<\/td>\n<td style=\"border: solid windowtext 1.0pt;padding: .75pt .75pt .75pt .75pt;height: 22.75pt\">\n<p class=\"MsoNormal\">5.01%<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p class=\"MsoNormal\"><b>Regression Results<\/b><\/p>\n<p class=\"MsoNormal\">Based on the regression analysis:<\/p>\n<ul style=\"margin-top: 0cm\" type=\"disc\">\n<li class=\"MsoNormal\"><b>Beta: 0.7307<\/b>\n<ul style=\"margin-top: 0cm\" type=\"circle\">\n<li class=\"MsoNormal\"><i>Interpretation:<\/i> Dr. Reddy&#8217;s is a defensive stock. For every 1% move in the NIFTY 50, the stock is expected to move by 0.73%.<\/li>\n<\/ul>\n<\/li>\n<li class=\"MsoNormal\"><b>R-Squared (R^2): 0.1606<\/b>\n<ul style=\"margin-top: 0cm\" type=\"circle\">\n<li class=\"MsoNormal\"><i>Interpretation:<\/i> Only about 16 of the stock&#8217;s price movement is explained by the market. The remaining 84% is due to idiosyncratic risk (company-specific factors like drug approvals, R&amp;D results, or earnings).<\/li>\n<\/ul>\n<\/li>\n<li class=\"MsoNormal\"><b>P-Value: 0.0048<\/b>\n<ul style=\"margin-top: 0cm\" type=\"circle\">\n<li class=\"MsoNormal\"><i>Interpretation:<\/i> Since the p-value is less than 0.05, the relationship between the stock and the index is statistically significant at a 95% confidence level.<\/li>\n<\/ul>\n<\/li>\n<li class=\"MsoNormal\"><b>Alpha: 0.1277<\/b>\n<ul style=\"margin-top: 0cm\" type=\"circle\">\n<li class=\"MsoNormal\"><i>Interpretation:<\/i> The stock provided a small positive average excess return over the market during this period, independent of market movements.<\/li>\n<\/ul>\n<\/li>\n<li class=\"MsoNormal\"><!-- [if gte vml 1]&gt;-->\n<p>     <!-- [if !vml]--><span style=\"position: absolute;z-index: 251660288;left: 0px;margin-left: 290px;margin-top: 985px;width: 426px;height: 34px\"><img loading=\"lazy\" decoding=\"async\" src=\"\/Users\/meem\/AppData\/Local\/Packages\/oice_16_974fa576_32c1d314_35bf\/AC\/Temp\/msohtmlclip1\/01\/clip_image002.png\" width=\"284\" height=\"23\" \/><\/span><!--[endif]--><b>Regression Equation:<\/b><\/li>\n<\/ul>\n<p class=\"MsoNormal\" style=\"margin-left: 36.0pt;text-align: center\" align=\"center\"><i>Dr. Reddy (Y) = 0.1277 + 0.7307 (Nifty 50 X)<\/i><\/p>\n<p class=\"MsoNormal\"><b><i><span style=\"font-size: 14.0pt;line-height: 107%\"><br \/>Conclusion:<\/span><\/i><\/b><\/p>\n<p class=\"MsoNormal\" style=\"text-align: justify\">The analysis reveals that Dr. Reddy&#8217;s Laboratories acts as a defensive investment with a Beta of 0.73. While the stock itself is more volatile (Standard Deviation of 3.43%) than the index (1.88%), its sensitivity to broad market swings is lower.<\/p>\n<p class=\"MsoNormal\" style=\"text-align: justify\">The low R-squared suggests that an investor in Dr. Reddy&#8217;s is primarily exposed to pharmaceutical industry-specific risks rather than general market trends. This makes it a good candidate for portfolio diversification, as it does not move perfectly in sync with the NIFTY 50.<\/p>\n<p class=\"MsoNormal\"><b><i><span style=\"font-size: 14.0pt;line-height: 107%\">References:<\/span><\/i><\/b><\/p>\n<ol style=\"margin-top: 0cm\" start=\"1\" type=\"1\">\n<li class=\"MsoNormal\"><i>Sharpe, W. F. (1964). Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk. Journal of Finance.<\/i><\/li>\n<li class=\"MsoNormal\"><i>Bodie, Z., Kane, A., &amp; Marcus, A. J. (2021). Investments. McGraw-Hill Education.<\/i><\/li>\n<li class=\"MsoNormal\"><i>Damodaran, A. (2012). Investment Valuation: Tools and Techniques for Determining the Value of Any Asset. Wiley.<\/i><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Author: Diksha Patil Introduction: Dr. Reddy&#8217;s Laboratories is a leading Indian multinational pharmaceutical company. In finance, evaluating a stock&#8217;s performance relative to a market benchmark (like the NIFTY 50) is essential for understanding its risk-return profile. This analysis uses the Capital Asset Pricing Model (CAPM) framework to determine the stock&#8217;s systematic risk, commonly known as&hellip; <a class=\"more-link\" href=\"http:\/\/www.sachdevajk.in\/?p=23234\">Continue reading <span class=\"screen-reader-text\">Relationship of Nifty 50 with Dr. Reddy\u2019s Laboratories Limited<\/span><\/a><\/p>\n","protected":false},"author":139953,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-23234","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\/23234","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\/139953"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=23234"}],"version-history":[{"count":1,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/23234\/revisions"}],"predecessor-version":[{"id":23235,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/23234\/revisions\/23235"}],"wp:attachment":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=23234"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=23234"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=23234"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}