Regression Analysis of Jindal Steel Ltd. and NIFTY 50

1. Introduction of the Company

Jindal Steel & Power Limited (JSPL) is one of India’s leading integrated steel manufacturers, operating in steel, power, mining, and infrastructure sectors. The company plays a significant role in India’s industrial growth and is listed on the National Stock Exchange (NSE). As a listed firm, its stock returns are influenced by both firm-specific factors and broader market movements, typically represented by benchmark indices such as NIFTY 50.

2. Objective

To determine the Beta (β) of Jindal Steel and observe its significance in relation to the NIFTY50 index.

3. Literature Review

1. Sharma & Verma (2021) Market Sensitivity of Indian Metal Stocks analyze the risk-return characteristics of metal and steel companies in India. Their study reveals that steel stocks generally exhibit higher beta values due to their cyclical nature and sensitivity to economic growth, infrastructure investment, and global commodity prices. Firms like Jindal Steel show strong correlation with market indices during expansionary phases but higher volatility during downturns.

2. Mehta & Kulkarni (2023) Impact of Infrastructure Growth and Policy Support examine the impact of government infrastructure policies and global demand on Indian steel companies. The study highlights that large integrated steel firms benefit significantly from increased public spending on railways, highways, and urban infrastructure. However, exposure to global steel prices and input cost fluctuations increases market risk, making beta analysis crucial for investment decisions.

4. Data Collection

Historical data of Jindal Steel and NIFTY50 index was collected from the NSE website for the period 01-12-2024 to 31-11-2025. The data was filtered to obtain Friday closing prices for consistency.

· Independent Variable (X): NIFTY50

· Dependent Variable (Y): Jindal Steel equity price

A linear regression analysis was conducted by regressing Jindal Steel equity prices on NIFTY50 index values.

5. Data Analysis

Regression Equation:
Return of Equity (Jindal Steel) = 0.317 − 0.023 × Return of NIFTY 50

Statistical Summary:
N = 48
R Square = 0.00008
F = 0.0036
P value = 0.9526
t-stat for Beta = −0.0597

Explanation:
The regression equation explains the relationship between the return of Jindal Steel Ltd. and the return of the NIFTY 50 Index. The negative sign of the beta coefficient indicates an inverse relationship. This means that if the NIFTY 50 return increases by 1 unit, the return of Jindal Steel is expected to decrease by 0.023 units.

The t-statistic for beta is −0.0597 and the corresponding p-value is 0.9526. Since the p-value is greater than 0.05 and also greater than 0.10, the beta coefficient is not statistically significant at either the 5% or 10% level. Therefore, NIFTY 50 returns do not significantly affect Jindal Steel returns.

The R-square value of 0.00008 indicates that only 0.008% of the variation in Jindal Steel’s return is explained by the NIFTY 50 return. The remaining variation is due to other factors not included in the model. The F-statistic value of 0.0036 with a p-value of 0.9526 indicates that the overall regression model is statistically insignificant.

6. Conclusion

The study concludes that there is no significant relationship between the return of Jindal Steel Ltd. and the return of the NIFTY 50 Index during the study period. Jindal Steel’s stock performance appears to be driven mainly by company-specific and industry-specific factors rather than market movements.

7. References

1) Sharma, R., & Verma, P. (2021). Market Risk and Volatility of Indian Metal Stocks. Indian Journal of Financial Markets.

2) Mehta, A., & Kulkarni, S. (2023). Infrastructure Growth and Performance of Indian Steel Companies. Journal of Industrial Economics.

3) NSE India – NIFTY 50 Index Data

4) Annual Reports of Jindal Steel & Power Ltd.