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Paper ID:IJSREM66393

Risk–Return Analysis of Nifty 50, Nifty 100, Nifty 200 and Nifty 500: Evidence from India, 2021–2026.

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66393

Volume:

10 |

7 |

Jul 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM66393

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

DKR

Dr.R.Praveen Kumar Reddy

Commerce

Government Degree College, Kukatpally, Hyderabad

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Abstract

The study examines the risk and return characteristics of Nifty 50, Nifty 100, Nifty 200 and Nifty 500 over the period from 1 April 2021 to 31 March 2026. The analysis uses 1,239 daily price-index return observations for each index. Descriptive statistics, annualised volatility, compounded returns and paired-samples t-tests are employed to compare their performance. The results indicate that Nifty 500 recorded the highest mean daily return of 0.0459%, followed by Nifty 200 at 0.0449%, Nifty 100 at 0.0394% and Nifty 50 at 0.0379%. Nifty 500 also recorded the highest compounded cumulative return of 67.76%, while Nifty 50 recorded the lowest annualised volatility of 13.78%. However, none of the paired-samples t-tests revealed a statistically significant difference in mean daily returns at the 5% significance level. All four return distributions exhibited negative skewness and positive excess kurtosis. The study concludes that the broader indices recorded higher observed price returns alongside modestly higher volatility, but the differences in average daily returns were not statistically significant under the conventional paired t-tests.

KEYWORDS

Risk return Nifty 50 Nifty 100 Nifty 200 Nifty 500 volatility paired t-test Indian stock market.

Cite This Article

Dr.R.Praveen Kumar Reddy, "Risk–Return Analysis of Nifty 50, Nifty 100, Nifty 200 and Nifty 500: Evidence from India, 2021–2026.," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 7, pp. 1-6, Jul 2026. https://doi.org/10.55041/IJSREM66393

Full Article/Conclusion

This study compared the risk–return characteristics of the Nifty 50, Nifty 100, Nifty 200 and Nifty 500 over the period from April 2021 to March 2026 using daily price-index returns. The descriptive results indicate that Nifty 500 recorded the highest observed cumulative return, followed by Nifty 200 and Nifty 100, while Nifty 50 recorded the lowest cumulative return and the lowest annualised volatility. The paired-samples t-tests did not identify statistically significant differences in mean daily returns between Nifty 50 and the other three indices at the 5% significance level. The conclusions remained unchanged after Holm correction for multiple comparisons. Accordingly, the observed differences in mean daily returns should be interpreted as descriptive differences rather than evidence of a statistically established return advantage. All four indices exhibited negative skewness and positive excess kurtosis, indicating asymmetric return distributions with heavier tails than a normal distribution. These characteristics underline the importance of evaluating volatility and extreme returns alongside average performance. The findings are limited to the selected five-year period and to price-index returns, which exclude dividends. Further research could incorporate total-return indices, downside-risk measures and robust statistical tests of mean return differences. Overall, the study provides a period-specific comparison of four major Indian equity indices and highlights the importance of distinguishing observed performance differences from statistically supported conclusions.

References

1.                Ansar, M., et al. (2014). A risk-return based model to measure the performance of portfolio management. Management Science Letters, 4. 2.                Gahan, S., Mantri, P., Parida, P., & Sanyal. (2012). Study of volatility patterns in the Indian stock market during the pre- and post-derivatives periods. [Bibliographic details as reported in Patjoshi (2022)]. 3.                Lakshmi, P. S. (2013). Volatility patterns in various sectoral indices in Indian stock market. Global Journal of Management and Business Studies, 3(8), 879–886. 4.                Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77–91. 5.                Patjoshi, P. K. (2022). Risk and return analysis of National Stock Exchanges. Indian Journal of Natural Sciences, 13(72). 6.                Patjoshi, P. K., & Mishra, S. (2021). Measurement of effect of volatility in crude oil prices on share prices of major petroleum companies in the Indian stock market. Natural Volatiles & Essential Oils, 8(5), 11613–11622. 7.                Patjoshi, P. K., & Tanty, G. (2016). A study on stock market volatility pattern of BSE and NSE in India. Asian Journal of Management, 7(3). 8.                Patjoshi, P. K., & Tanty, G. (2017). An empirical analysis on volatility pattern of Bombay Stock Exchange (BSE). Siddhant, 17(2), 114–122. 9.                Setiawan, C. (2013). Syariah and conventional stocks performance of public companies listed on Indonesia Stock Exchange. Journal of Accounting, Finance and Economics, 3(1), 51–64. 10.             Shanmugasundram, G., & Benedict, D. J. (2013). Volatility of the Indian sectoral indices—a study with reference to National Stock Exchange. International Journal of Marketing, Financial Services & Management Research, 2(8), 1–11.

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Publication Date

7/29/2026

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Review Rounds: 2

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