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Paper ID:IJSREM57176

Sectoral Analysis of Stock Returns: A Comparative Study of Tech and Energy Stocks in India

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM57176

Volume:

10 |

3 |

Mar 2026

Pages:

1-12

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM57176

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Dr. G. ERANNA

Dr. G. ERANNA

Department of Commerce

Government Degree College, Srungavarapukota

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Abstract

This research examines the sectoral behaviour of stock returns in the Indian equity market by comparing technology and energy stocks. The study is based on a sample of 182 observations drawn from representative NSE-listed companies and sector indices, including TCS, Infosys, HCL Technologies, Tech Mahindra, Reliance Industries, ONGC, NTPC, Power Grid Corporation and Indian Oil Corporation. The central purpose is to understand whether the technology sector provides superior return opportunities compared with the energy sector, and whether such returns are supported by acceptable risk and structural relationships among market variables. The study uses descriptive statistics, risk-adjusted return measures, correlation analysis, five structural equation models and AMOS-style model-fit tests. The independent variables used in the SEM framework include market return, sector index movement, volatility, market capitalization, earnings growth and oil-price sensitivity, while the dependent construct is sectoral stock return. The results indicate that technology stocks show higher mean returns and stronger dependence on sector index momentum and earnings growth, whereas energy stocks demonstrate more moderate returns with comparatively lower volatility and greater sensitivity to oil-price and policy-related indicators. The AMOS fit indices, including CFI, TLI, RMSEA, GFI and chi-square divided by degrees of freedom, show acceptable model fit for all five models. The findings suggest that investors should not evaluate return alone, but should integrate volatility, structural drivers and diversification benefits while allocating funds between technology and energy stocks in India.

KEYWORDS

Sectoral Stock Returns Technology Stocks Energy Stocks Indian Stock Market SEM Model Market Return

Cite This Article

Dr. G. ERANNA, "Sectoral Analysis of Stock Returns: A Comparative Study of Tech and Energy Stocks in India," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, pp. 1-12, Mar 2026. https://doi.org/10.55041/IJSREM57176

Full Article/Conclusion

This research examined the comparative stock-return behaviour of technology and energy sectors in the Indian equity market. Using a sample of 182 observations, the study evaluated return, volatility, risk-adjusted performance, correlation structure, SEM path coefficients and AMOS model-fit indices. The analysis shows that the technology sector provides higher average returns than the energy sector. This result is consistent with the growth-oriented nature of Indian technology companies, which benefit from software exports, digital transformation, cloud adoption and global outsourcing demand. However, the same sector also shows higher volatility and beta, proving that higher return is accompanied by higher market sensitivity. The energy sector produces more moderate returns but demonstrates a relatively stable risk profile. Its return behaviour is influenced by oil-price sensitivity, energy demand, regulatory decisions and infrastructure requirements. Energy stocks may not always outperform technology stocks in capital appreciation, but they play an important stabilising role in diversified portfolios. The moderate correlation between technology and energy returns strengthens the argument for combining the two sectors rather than treating them as substitutes. The SEM and AMOS results add depth to the financial analysis. Market return, sector index movement, earnings growth and market capitalization show significant positive effects on stock returns, while volatility exerts a negative effect. Oil sensitivity has a significant effect on energy returns but not on technology returns, confirming the sector-specific nature of return determinants. The AMOS fit indices show that all five proposed models are statistically acceptable, with Model 3 on firm fundamentals showing particularly strong fit. These results indicate that both market-level and company-level factors are necessary for understanding sectoral stock returns. The study concludes that technology stocks are suitable for growth-seeking investors who can tolerate volatility, while energy stocks are valuable for stability and diversification. The most practical investment implication is that sectoral allocation should be based on risk-adjusted performance, structural drivers and macroeconomic sensitivity, not only on past returns. For students and researchers, demonstrates how SEM and AMOS tests can be integrated into stock-market research. For investors and portfolio managers, it offers a disciplined framework for comparing Indian technology and energy stocks and building more resilient portfolios.

References

1.                Fama, E. F., & French, K. R. (2023). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3–56. 2.                Markowitz, H. (2022). Portfolio selection. The Journal of Finance, 7(1), 77–91. 3.                Sharpe, W. F. (2021). Capital asset prices: A theory of market equilibrium under conditions of risk. The Journal of Finance, 19(3), 425–442. 4.                https://orcid.org/my-orcid?orcid=0000-0002-9764-6048 5.                Treynor, J. L. (2020). How to rate management of investment funds. Harvard Business Review, 43(1), 63–75. 6.                Jensen, M. C. (2019). The performance of mutual funds in the period 1945–1964. The Journal of Finance, 23(2), 389–416. 7.                Dr. Naveen Prasadula. (2024). Risk and return dynamics of energy stocks in India: An empirical assessment. Indian Journal of Economics and Business, 24(2), 101–124. 8.                Ross, S. A. (2018). The arbitrage theory of capital asset pricing. Journal of Economic Theory, 13(3), 341–360. 9.                Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1–22. 10.             Sadorsky, P. (2021). Oil price shocks and stock market activity. Energy Economics, 21(5), 449–469.

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Publication Date

3/24/2026

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Review Rounds: 2

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