{"id":23531,"date":"2025-12-30T16:39:25","date_gmt":"2025-12-30T11:09:25","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=23531"},"modified":"2025-12-30T16:39:25","modified_gmt":"2025-12-30T11:09:25","slug":"relationship-of-procter-gamble-health-limited-pghl-with-nifty-50-by-priyanshi-dangi","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=23531","title":{"rendered":"Relationship of Procter &amp; Gamble Health Limited (PGHL) with Nifty 50 by Priyanshi Dangi"},"content":{"rendered":"<p class=\"MsoNormal\"><b><span style=\"font-size: 18.0pt;line-height: 115%\">Title:<\/span><\/b><span style=\"font-size: 18.0pt;line-height: 115%\">\u00a0Relationship of Procter &amp; Gamble Health Limited (PGHL) with Nifty 50<\/span><\/p>\n<p>\u00a0<\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 18.0pt;line-height: 115%\">Author:<\/span><\/b><span style=\"font-size: 18.0pt;line-height: 115%\"> Priyanshi Dangi<\/span><\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 15.0pt;line-height: 115%\">Introduction<\/span><\/b><\/p>\n<p class=\"MsoNormal\"><b>Procter &amp; Gamble Health Limited (PGHL)<\/b> is a pharmaceutical company engaged in the manufacture and marketing of healthcare and wellness products in India. The company offers vitamins, nutrition supplements and other prescription medicines under well-known brands such as Evion, Neurobion, Seven Seas, Nasivion, Polybion and Livogen. It operates primarily in the Indian pharmaceutical sector and focuses on consumer health and therapeutic segments. PGHL traces its origins to 1967 and is headquartered in Mumbai, India<\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 15.0pt;line-height: 115%\">Objective<\/span><\/b><\/p>\n<p class=\"MsoNormal\">The\u00a0objective\u00a0of this study is to calculate the beta of PGHL with respect to Nifty 50 and to observe the significance of this relationship, in order to understand the systematic risk of PGHL relative to the overall market.<br \/><b><span style=\"font-size: 15.0pt;line-height: 115%\">Literature review<\/span><\/b><\/p>\n<ul style=\"margin-top: 0cm\" type=\"disc\">\n<li class=\"MsoNormal\">Abesco (2017) explains that within the Capital Asset Pricing Model (CAPM), beta measures the sensitivity of a security\u2019s return to movements in the market portfolio, and a higher beta implies greater systematic risk and higher expected return in efficient markets (Abesco, as cited in Expert Journals, 2017).<\/li>\n<li class=\"MsoNormal\">Abesco further notes that the beta\u2013return relationship can be conditional on market phases; in up markets, high beta stocks tend to earn higher returns than low beta stocks, while in down markets high beta stocks can underperform, reflecting the trade-off between risk and return (Abesco, as cited in Expert Journals, 2017).<\/li>\n<\/ul>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 15.0pt;line-height: 115%\">Data collection<\/span><\/b><\/p>\n<ul style=\"margin-top: 0cm\" type=\"disc\">\n<li class=\"MsoNormal\">Data for PGHL and Nifty 50 were taken from the National Stock Exchange (NSE) of India website (nseindia.com) for the period 1 December 2024 to 30 November 2025.<\/li>\n<li class=\"MsoNormal\">Friday closing prices for PGHL and Nifty 50 were extracted for each week in this period and weekly returns were calculated for both series.<\/li>\n<li class=\"MsoNormal\">Weekly returns of Nifty 50 were taken as\u00a0X\u00a0(independent variable) and weekly returns of PGHL were taken as\u00a0Y\u00a0(dependent variable).<\/li>\n<li class=\"MsoNormal\">A simple linear regression of Y on X was estimated:<br \/><!-- [if gte msEquation 12]&gt;--><i><span style='font-family:\"Cambria Math\",serif'>Y=\u03b1+\u03b2X+\u03b5<\/span><\/i><!-- [if !msEquation]--><span style=\"font-size: 12.0pt;line-height: 115%;font-family: 'Calibri',sans-serif;position: relative;top: 5.0pt\"><!-- [if gte vml 1]&gt;-->\n<p>     <!-- [if !vml]--><img loading=\"lazy\" decoding=\"async\" src=\"image\/png;base64,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\" width=\"107\" height=\"22\" \/><!--[endif]--><\/span><!--[endif]-->, where\u00a0<!-- [if gte msEquation 12]&gt;--><i><span style='font-family:\"Cambria Math\",serif'>\u03b2<\/span><\/i><!-- [if !msEquation]--><span style=\"font-size: 12.0pt;line-height: 115%;font-family: 'Calibri',sans-serif;position: relative;top: 5.0pt\"><!-- [if gte vml 1]&gt;--><\/p>\n<p>     <!-- [if !vml]--><img loading=\"lazy\" decoding=\"async\" src=\"image\/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA0AAAAbCAMAAACQuvXIAAAAAXNSR0IArs4c6QAAAFdQTFRFAAAAAAAAAAA6AABmADpmADqQAGa2OgAAOma2OpC2OpDbZgAAZjoAZrb\/kDoAkGY6kNv\/tmYAttv\/tv\/\/25A627Zm27aQ2\/\/\/\/7Zm\/9uQ\/9u2\/\/+2\/\/\/biok8AgAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V\/7TVxAAAAfUlEQVQoU62PyRLCQAhEIU5Eza7RTAz\/\/52BaVLlPXKAYunXBdH\/4tsypzF4We6LTpdXabfmajlXWM6lIpP29UK0ih\/gUN9ys5ELuFslPYPoAp0SiFTQ4B4VKIc9ygwdXDP7zGRs7I9gpX0amKtw2xqcIMz7p5vjkfCG\/Fzsn1IGC7CtzwMAAAAASUVORK5CYII=\" width=\"10\" height=\"22\" \/><!--[endif]--><\/span><!--[endif]-->\u00a0represents the beta of PGHL with respect to Nifty 50.<\/li>\n<\/ul>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 15.0pt;line-height: 115%\">Data analysis and interpretation<\/span><\/b><\/p>\n<p class=\"MsoListParagraphCxSpFirst\">From the regression output in your file:<\/p>\n<p class=\"MsoListParagraphCxSpMiddle\" style=\"margin-left: 72.0pt;text-indent: -18.0pt\"><!-- [if !supportLists]--><span style=\"font-family: Symbol\"><span>\u00b7<span style=\"font: 7.0pt 'Times New Roman'\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span><!--[endif]-->Regression equation (beta model):<br \/><!-- [if gte msEquation 12]&gt;--><span style='font-family:\"Cambria Math\",serif'><\/span>ReturnPGHL<i><span style='font-family:\"Cambria Math\",serif'>=0.0059-0.4708\u00d7<\/span><\/i><span style='font-family:\"Cambria Math\",serif'><\/span>ReturnNifty<!-- [if !msEquation]--><span style=\"font-size: 12.0pt;line-height: 115%;font-family: 'Calibri',sans-serif\"><!-- [if gte vml 1]&gt;--><\/p>\n<p><!-- [if !vml]--><img loading=\"lazy\" decoding=\"async\" src=\"image\/png;base64,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\" width=\"290\" height=\"23\" \/><!--[endif]--><\/span><!--[endif]--><\/p>\n<p class=\"MsoListParagraphCxSpMiddle\" style=\"margin-left: 72.0pt;text-indent: -18.0pt\"><!-- [if !supportLists]--><span style=\"font-family: Symbol\"><span>\u00b7<span style=\"font: 7.0pt 'Times New Roman'\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span><!--[endif]--><b><span>Observations (N):<\/span><\/b><span>\u00a048 weekly observations<\/span><\/p>\n<p class=\"MsoListParagraphCxSpMiddle\" style=\"margin-left: 72.0pt;text-indent: -18.0pt\"><!-- [if !supportLists]--><span style=\"font-family: Symbol\"><span>\u00b7<span style=\"font: 7.0pt 'Times New Roman'\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span><!--[endif]--><b><span>R\u00b2:<\/span><\/b><span>\u00a00.0063, meaning only about 0.63% of the variation in PGHL\u2019s weekly returns is explained by Nifty 50 weekly returns.<\/span><\/p>\n<p class=\"MsoListParagraphCxSpMiddle\" style=\"margin-left: 72.0pt;text-indent: -18.0pt\"><!-- [if !supportLists]--><span style=\"font-family: Symbol\"><span>\u00b7<span style=\"font: 7.0pt 'Times New Roman'\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span><!--[endif]--><b><span>F-statistic:<\/span><\/b><span>\u00a00.2903 with Significance F (p-value) = 0.5926, indicating that the overall regression model is not statistically significant at conventional levels (1%, 5% or 10%).<\/span><\/p>\n<p class=\"MsoListParagraphCxSpMiddle\" style=\"margin-left: 72.0pt;text-indent: -18.0pt\"><!-- [if !supportLists]--><span style=\"font-family: Symbol\"><span>\u00b7<span style=\"font: 7.0pt 'Times New Roman'\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span><!--[endif]--><b><span>Intercept (alpha):<\/span><\/b><span>\u00a00.0059, p-value = 0.9893, not statistically significant.<\/span><\/p>\n<p class=\"MsoListParagraphCxSpLast\" style=\"margin-left: 72.0pt;text-indent: -18.0pt\"><!-- [if !supportLists]--><span style=\"font-family: Symbol\"><span>\u00b7<span style=\"font: 7.0pt 'Times New Roman'\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span><!--[endif]--><b><span>Slope (beta):<\/span><\/b><span>\u00a0-0.4708, standard error = 0.8738, t-stat = -0.5388, p-value = 0.5926, showing that beta is statistically insignificant.<\/span><\/p>\n<p class=\"MsoNormal\"><span>Interpretation in simple language (similar to your demand\u2013price example):<\/span><\/p>\n<p class=\"MsoListParagraphCxSpFirst\" style=\"text-indent: -18.0pt\"><!-- [if !supportLists]--><span style=\"font-family: Symbol\"><span>\u00b7<span style=\"font: 7.0pt 'Times New Roman'\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span><!--[endif]--><span>The estimated equation\u00a0<\/span><!-- [if gte msEquation 12]&gt;--><span style='font-family:\"Cambria Math\",serif'><\/span><span>Return<\/span><span>PGHL<\/span><i><span style='font-family:\"Cambria Math\",serif'>=0.0059-0.4708\u00d7<\/span><\/i><span style='font-family:\"Cambria Math\",serif'><\/span><span>Return<\/span><span>Nifty<\/span><!-- [if !msEquation]--><span style=\"font-size: 12.0pt;line-height: 115%;font-family: 'Calibri',sans-serif;position: relative;top: 6.0pt\"><!-- [if gte vml 1]&gt;--><\/p>\n<p><!-- [if !vml]--><img loading=\"lazy\" decoding=\"async\" src=\"image\/png;base64,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\" width=\"290\" height=\"23\" \/><!--[endif]--><\/span><!--[endif]--><span>\u00a0shows the\u00a0<b>relationship between PGHL returns and Nifty 50 returns.<\/b><\/span><\/p>\n<p class=\"MsoListParagraphCxSpMiddle\" style=\"text-indent: -18.0pt\"><!-- [if !supportLists]--><span style=\"font-family: Symbol\"><span>\u00b7<span style=\"font: 7.0pt 'Times New Roman'\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span><!--[endif]--><span>The\u00a0<b>negative sign<\/b>\u00a0of beta (-0.4708) suggests an inverse relationship: if Nifty 50 return rises by 1 unit, PGHL return is expected to fall by about 0.4708 units, and vice versa; however, this effect is\u00a0<b>not statistically reliable.<\/b><\/span><\/p>\n<p class=\"MsoListParagraphCxSpMiddle\" style=\"text-indent: -18.0pt\"><!-- [if !supportLists]--><span style=\"font-family: Symbol\"><span>\u00b7<span style=\"font: 7.0pt 'Times New Roman'\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span><!--[endif]--><span>The\u00a0<b>t-statistic<\/b>\u00a0for beta is -0.5388 with a p-value of 0.5926, which is far greater than 0.10, so beta is\u00a0<b>not statistically significant even at the 10% level.<\/b><\/span><\/p>\n<p class=\"MsoListParagraphCxSpMiddle\" style=\"text-indent: -18.0pt\"><!-- [if !supportLists]--><span style=\"font-family: Symbol\"><span>\u00b7<span style=\"font: 7.0pt 'Times New Roman'\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span><!--[endif]--><span>The\u00a0<b>R\u00b2 of 0.0063<\/b>\u00a0implies that only around 0.63% of the variability in PGHL\u2019s returns is explained by Nifty 50, and the remaining 99.37% is due to other firm-specific or sector-specific factors not included in the model.<\/span><\/p>\n<p class=\"MsoListParagraphCxSpLast\" style=\"text-indent: -18.0pt\"><!-- [if !supportLists]--><span style=\"font-family: Symbol\"><span>\u00b7<span style=\"font: 7.0pt 'Times New Roman'\">\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span><!--[endif]--><span>The\u00a0<b>F-statistic<\/b>\u00a0of 0.2903 with p-value 0.5926 indicates that the model as a whole does not provide a statistically significant explanation of PGHL\u2019s returns.<\/span><\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 15.0pt;line-height: 115%\">Conclusion<\/span><\/b><\/p>\n<p class=\"MsoNormal\" style=\"margin-left: 18.0pt\"><span>In this study, the estimated beta of PGHL with respect to Nifty 50 is\u00a0<b>negative and statistically insignificant<\/b>, indicating that there is no reliable linear relationship between PGHL\u2019s weekly returns and Nifty 50 weekly returns over the period considered. Given the low absolute value of beta (around -0.47) and the very low R\u00b2, the stock does not move systematically with the market index, so it behaves more like a low\u2011beta\/uncorrelated stock rather than a typical market\u2011sensitive stock. On this basis, the result is closer to the \u201cbeta less than 1\u201d situation, so PGHL may be considered more appropriate for\u00a0<b>long\u2011term investment<\/b>\u00a0where market movements in Nifty 50 are not the dominant driver of its return, and short\u2011term trading purely based on Nifty trends is not recommended.<\/span><\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 15.0pt;line-height: 115%\">References<\/span><\/b><\/p>\n<ul style=\"margin-top: 0cm\" type=\"disc\">\n<li class=\"MsoNormal\"><span>Abesco. (2017). Conditional relationship between beta and return in the US stock market.\u00a0<i>Expert Journal of Finance<\/i>, X(Y), pp\u2013pp.<\/span><a href=\"https:\/\/business.expertjournals.com\/23446781-406\/\" target=\"_blank\" rel=\"noopener\"><span>business.expertjournals<\/span><\/a><span>\u200b<\/span><\/li>\n<li class=\"MsoNormal\"><span>National Stock Exchange of India. (n.d.). Procter &amp; Gamble Health Limited (PGHL) and Nifty 50 historical prices. Retrieved from\u00a0<\/span><a href=\"https:\/\/www.nseindia.com\/\" target=\"_blank\" rel=\"noopener\"><span>https:\/\/www.nseindia.com<\/span><\/a><a href=\"https:\/\/www.niftyindices.com\/Methodology\/Method_Nifty_High_Beta_50.pdf\" target=\"_blank\" rel=\"noopener\"><span>niftyindices+1<\/span><\/a><\/li>\n<\/ul>\n<p class=\"MsoNormal\" style=\"margin-left: 18.0pt\"><span>\u00a0<\/span><\/p>\n<p class=\"MsoNormal\"><span>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Title:\u00a0Relationship of Procter &amp; Gamble Health Limited (PGHL) with Nifty 50 \u00a0 Author: Priyanshi Dangi Introduction Procter &amp; Gamble Health Limited (PGHL) is a pharmaceutical company engaged in the manufacture and marketing of healthcare and wellness products in India. The company offers vitamins, nutrition supplements and other prescription medicines under well-known brands such as Evion,&hellip; <a class=\"more-link\" href=\"http:\/\/www.sachdevajk.in\/?p=23531\">Continue reading <span class=\"screen-reader-text\">Relationship of Procter &amp; Gamble Health Limited (PGHL) with Nifty 50 by Priyanshi Dangi<\/span><\/a><\/p>\n","protected":false},"author":140062,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-23531","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\/23531","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\/140062"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=23531"}],"version-history":[{"count":1,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/23531\/revisions"}],"predecessor-version":[{"id":23532,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/23531\/revisions\/23532"}],"wp:attachment":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=23531"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=23531"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=23531"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}