{"id":22912,"date":"2025-03-26T09:36:16","date_gmt":"2025-03-26T04:06:16","guid":{"rendered":"https:\/\/www.sachdevajk.in\/?p=22912"},"modified":"2025-03-26T09:36:16","modified_gmt":"2025-03-26T04:06:16","slug":"relationship-of-morgan-stanley-with-nifty-50","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=22912","title":{"rendered":"Relationship of Morgan Stanley With Nifty 50"},"content":{"rendered":"

Author:\u00a0<\/span><\/span>Meghna Undegaonkar [127] kohinoor business school<\/span><\/span><\/p>\n

Introduction<\/span><\/span><\/p>\n

Morgan Stanley is a leading global financial services firm providing investment banking, wealth management, and institutional securities services.\u00a0<\/span><\/span>
<\/span><\/span>As a publicly traded company, its stock performance is closely linked to market indices such as the Nifty 50. Understanding its Beta (<\/span><\/span>\u03b2<\/span><\/span>) value helps investors assess its volatility and correlation with market movements.<\/span><\/span><\/p>\n

Objective<\/span><\/span><\/p>\n

To determine the Beta (<\/span><\/span>\u03b2<\/span><\/span>) of Morgan Stanley and assess its significance in relation to Nifty 50.<\/span><\/span><\/p>\n

Literature Review<\/span><\/span><\/p>\n

1. Market Volatility and Beta Analysis<\/span><\/span><\/p>\n

Misra and Mohapatra (2015) analyze the impact of market volatility on Beta values, particularly for financial institutions like Morgan Stanley.\u00a0<\/span><\/span>
<\/span><\/span>Their study highlights that global economic trends, interest rate changes, and monetary policies significantly influence stock movements and their correlation with major indices such as Nifty 50.<\/span><\/span><\/p>\n

2. Stock Performance in Market Fluctuations<\/span><\/span><\/p>\n

Gali (2021) examines how financial institutions, including investment banks like Morgan Stanley, respond to economic cycles.\u00a0<\/span><\/span>
<\/span><\/span>Using regression models and historical stock data, the study finds that investment banks exhibit unique volatility patterns, making their correlation with major indices like Nifty 50 less predictable during market fluctuations.<\/span><\/span><\/p>\n

Data Collection<\/span><\/span><\/p>\n

Data for Morgan Stanley and Nifty 50 was collected from NSE for the period 31-03-2024 to 20-03-2025.\u00a0<\/span><\/span>
<\/span><\/span>Weekly closing prices (Friday) were used to calculate returns. Morgan Stanley<\/span><\/span>\u2019<\/span><\/span>s weekly returns were regressed against Nifty 50<\/span><\/span>\u2019<\/span><\/span>s returns to determine Beta.<\/span><\/span><\/p>\n

Data Analysis<\/span><\/span><\/p>\n

Regression Equation<\/span><\/span><\/p>\n

The regression equation describes the relationship between Morgan Stanley<\/span><\/span>\u2019<\/span><\/span>s returns (Y) and Nifty 50 returns (X):<\/span><\/span><\/p>\n

Y = -0.0097 + (0.1145 * X)<\/span><\/span><\/p>\n

Here, \u00a0<\/span><\/span>
<\/span><\/span>– Y represents Morgan Stanley<\/span><\/span>\u2019<\/span><\/span>s weekly return. \u00a0<\/span><\/span>
<\/span><\/span>– Xrepresents Nifty 50<\/span><\/span>\u2019<\/span><\/span>s weekly return. \u00a0<\/span><\/span>
<\/span><\/span>– The intercept (-0.0097) suggests a slight negative return when Nifty 50<\/span><\/span>\u2019<\/span><\/span>s return is zero. \u00a0<\/span><\/span>
<\/span><\/span>– The coefficient (0.1145) indicates that for every 1% change in Nifty 50<\/span><\/span>\u2019<\/span><\/span>s return, Morgan Stanley<\/span><\/span>\u2019<\/span><\/span>s return changes by 0.1145%, meaning it has a weak correlation with the market.<\/span><\/span><\/p>\n

\u00a0<\/span><\/p>\n

SUMMARY OUTPUT<\/span><\/span><\/p>\n

Regression Statistics<\/span><\/span><\/p>\n

Beta (<\/span><\/span>\u03b2<\/span><\/span>): 0.1145<\/span><\/span><\/p>\n

R-Squared: 0.002<\/span><\/span><\/p>\n

Adjusted R-Squared: -0.032<\/span><\/span><\/p>\n

P-Value (Beta Significance): 0.804<\/span><\/span><\/p>\n

ANOVA<\/span><\/span><\/p>\n

F-Statistic: 0.06291<\/span><\/span><\/p>\n

Significance F: 0.804<\/span><\/span><\/p>\n

Regression Coefficients<\/span><\/span><\/p>\n\n\n\n\n
\n
\n

Variable<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

Coefficient<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

Standard Error<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

t Stat<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

P-Value<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

Lower 95%<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

Upper 95%<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

Return_Nifty<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

0.1145<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

0.457<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

0.251<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

0.804<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

-0.819<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

1.049<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/span><\/p>\n

Interpretation<\/span><\/span><\/p>\n

The regression equation describes the relationship between\u00a0<\/span><\/span>Nifty 50 (X)<\/span><\/span>\u00a0and\u00a0<\/span><\/span>Morgan Stanley’s stock returns (Y)<\/span><\/span>, indicating that\u00a0<\/span><\/span>Morgan Stanley’s stock return is the dependent variable<\/span><\/span>, while\u00a0<\/span><\/span>Nifty 50 is the independent variable<\/span><\/span>.<\/span><\/span><\/p>\n

\u2022\u00a0<\/span>The\u00a0<\/span><\/span>intercept (-0.0097)<\/span><\/span>\u00a0suggests that when\u00a0<\/span><\/span>Nifty 50 remains unchanged<\/span><\/span>, Morgan Stanley<\/span><\/span>\u2019<\/span><\/span>s stock return is slightly negative, indicating minimal independent movement.<\/span><\/span><\/div>\n
\u2022\u00a0<\/span>The\u00a0<\/span><\/span>Beta coefficient (0.1145)<\/span><\/span>\u00a0implies that for every\u00a0<\/span><\/span>1% increase in Nifty 50<\/span><\/span>,\u00a0<\/span><\/span>Morgan Stanley<\/span><\/span>\u2019<\/span><\/span>s stock return is expected to increase by only 0.11%<\/span><\/span>, indicating very weak market correlation.<\/span><\/span><\/div>\n
\u2022\u00a0<\/span>The\u00a0<\/span><\/span>R<\/span><\/span>\u00b2\u00a0<\/span><\/span>value of 0.002<\/span><\/span>\u00a0means that only\u00a0<\/span><\/span>0.2% of Morgan Stanley’s stock return variations<\/span><\/span>\u00a0can be explained by changes in Nifty 50, confirming an extremely weak relationship.<\/span><\/span><\/div>\n
\u2022\u00a0<\/span>The\u00a0<\/span><\/span>F-statistic (0.06291)<\/span><\/span>\u00a0indicates that the model has low explanatory power, and the\u00a0<\/span><\/span>p-value (0.804)<\/span><\/span>\u00a0for the slope suggests that the relationship between Morgan Stanley and Nifty 50\u00a0<\/span><\/span>is not statistically significant<\/span><\/span>\u00a0at conventional confidence levels.<\/span><\/span><\/div>\n

This analysis indicates that Morgan Stanley<\/span><\/span>\u2019<\/span><\/span>s stock movements\u00a0<\/span><\/span>are largely independent of Nifty 50 trends<\/span><\/span>and do not closely follow broader market movements.<\/span><\/span><\/p>\n

\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

Conclusion<\/span><\/span><\/p>\n

The Beta (<\/span><\/span>\u03b2<\/span><\/span>) value of 0.1145 indicates that Morgan Stanley has a very weak correlation with Nifty 50.<\/span><\/span>
<\/span><\/span>Its stock movements are largely independent of the overall market trends. The high p-value (0.804) suggests that the relationship between Morgan Stanley and Nifty 50 is not statistically significant.<\/span><\/span><\/p>\n

References<\/span><\/span><\/p>\n

1. Arun Kumar Misra & Sabyasachi Mohapatra, 2015. Indexing CNX NIFTY 50 Momentum Effects, Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 9(2), pages 157-178, May.<\/span><\/span><\/p>\n

2. Srilakshminarayana Gali, 2021. The Behaviour of Extreme and Cumulative Stock Price Random Variables during Crisis Periods – A Study of Nifty 50 Stocks, Economic Research Guardian, Mutascu Publishing, vol. 11(1), pages 103-129, June.<\/span><\/span><\/p>\n

\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Author:\u00a0Meghna Undegaonkar [127] kohinoor business school Introduction Morgan Stanley is a leading global financial services firm providing investment banking, wealth management, and institutional securities services.\u00a0As a publicly traded company, its stock performance is closely linked to market indices such as the Nifty 50. Understanding its Beta (\u03b2) value helps investors assess its volatility and correlation… Continue reading Relationship of Morgan Stanley With Nifty 50<\/span><\/a><\/p>\n","protected":false},"author":139823,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-22912","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\/22912","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\/139823"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=22912"}],"version-history":[{"count":1,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/22912\/revisions"}],"predecessor-version":[{"id":22913,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/22912\/revisions\/22913"}],"wp:attachment":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=22912"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=22912"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=22912"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}