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INVESTMENT PERFORMANCE ANALYSIS OF SELECTED NSE STOCKS: A SECTORAL APPROACH

📘 Volume 13 📄 Issue 9 📅 September 2026

👤 Authors

Dr. Megharaja B 1
1. Assistant Professor, Department of Studies and Research in Commerce, Vijayanagara Sri Krishnadevaraya University, Jnana Sagara Campus, Vinayaka Nagar, Cantonment, Ballari, Karnataka 583104

📄 Abstract

Investment in the stock market plays a significant role in wealth creation and capital formation. However, investors face uncertainty due to fluctuations in stock prices, economic conditions, industrial performance, and market sentiment. Therefore, understanding the relationship between risk and return becomes essential for making informed investment decisions. The present study examines the risk and return characteristics of selected stocks listed on the National Stock Exchange (NSE) of India. The study covers five major sectors of the Indian economy, namely Information Technology (IT), Fast Moving Consumer Goods (FMCG), Banking, Energy, and Automobile sectors. Secondary data were collected for the period 2016–2026 from reliable financial sources. The study employs statistical tools such as Mean Return, Standard Deviation, Descriptive Statistics, and Analysis of Variance (ANOVA) to evaluate stock performance. The findings reveal that companies with higher returns generally exhibit higher volatility. Tech Mahindra recorded the highest average return in the IT sector, whereas TCS and Infosys provided relatively stable returns. ANOVA results indicate significant variations in stock performance across different years due to changing market conditions. The study concludes that investors should carefully evaluate both risk and return before making investment decisions and should diversify their portfolios to reduce investment risk.

🏷️ Keywords

Risk Return Stock Market NSE Investment Standard Deviation ANOVA.

📚 How to Cite:

Dr. Megharaja B , INVESTMENT PERFORMANCE ANALYSIS OF SELECTED NSE STOCKS: A SECTORAL APPROACH , Volume 13 , Issue 9, September 2026, EPRA International Journal of Environmental Economics, Commerce and Educational Management(ECEM) , Pages: 21 - 26 ,

🔗 PDF URL

https://cdn.eprapublishing.org/article/1789747147246-4.EPRA31562.pdf

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