Relationship Of Nifty 50 with ADITYA BIRLA CAPITAL
Title: Relationship of Nifty50 with ADITYA BIRLA CAPITAL
Author: Aliza Shaikh
Introduction:
This research explores the econometric evolution of on Aditya Birla Capital’s risk premiums, highlighting that its expected returns are slightly lower than the NIFTY 50 due to strong market correlation. The study validates a CAPM framework by ensuring residuals are free of serial correlation and heteroscedasticity, while integrating intervention analysis to account for structural shifts. By incorporating exogenous variables like global oil prices and the Fama-French three-factor model, the analysis provides a refined outlook on Aditya Birla Capital’s performance, ultimately positioning it as a strategic investment choice relative to its market peers.
Objective:
Calculation of beta of ADITYA BIRLA CAPITAL and observe its significance
Literature Review:
1.Financial Performance and Diversification
This area of research focuses on how Aditya Birla Capital (ABCL) functions as an integrated financial services provider within a larger conglomerate. Scholars argue that ABCL’s performance is a result of its “retailization” strategy—shifting away from wholesale lending toward more granular retail and MSME loans. Literature highlights that while its parentage (Aditya Birla Group) provides significant capital support and stability, the firm’s recent financial health is characterized by a deliberate improvement in liquidity ratios (Current Ratio rising from 0.80 to 1.39 between 2021 and 2024). However, studies also point to rising debt-to-equity ratios and the need for more robust cash flow management to sustain long-term growth.
2. Risk Management and Market Sensitivity
Research in this category applies the Capital Asset Pricing Model (CAPM) and Enterprise Risk Management (ERM) frameworks to ABCL. Analysts have noted that ABCL often exhibits a unique risk profile compared to the broader NIFTY 50 index. While many financial stocks are highly sensitive to market swings (high Beta), recent empirical studies suggest that ABCL’s returns can sometimes decouple from systematic market movements due to its diversified revenue streams (Life Insurance, Asset Management, and Health Insurance). The literature emphasizes that ABCL’s risk management policy follows the COSO framework, focusing on aligning its “risk appetite” with its business strategy to stabilize earnings across economic cycles.
Data Collection
The primary data for the NIFTY 50 index and on Aditya Birla Capital was retrieved from NSEIndia.com for the period 01-12-2024 to 30-11-2025.
- Frequency: Weekly analysis using Friday closing prices.
- Return Calculation: Weekly returns were calculated using the percentage change formula:
- Variables: The weekly returns of the NIFTY 50 index were designated as the independent variable (X), and the weekly returns of Aditya Birla Capital were designated as the dependent variable (Y).
Data Analysis
The regression analysis was conducted over 49 weekly observations. The resulting regression equation is:
ADITYA BIRLA CAPITAL Returns = -0.0627 + 0.1286(NIFTY 50)
Statistical Interpretations:
• Coefficient (beta):
The coefficient for the X variable is positive (0.0474). This indicates a strong positive relationship between the NIFTY 50 and the stock’s return. Theoretically, a 1-unit increase in the NIFTY 50 leads to an average increase of approximately 0.0474 in the stock’s return. The statistical evidence confirms that this relationship is reliable.
• T-Statistic & P-Value:
The t-statistic for the coefficient is 12.62 with a p-value of 1.52E-16. This value is well below the 1% and 5% significance levels, confirming that the coefficient is statistically significant. Market movements have a meaningful influence on the stock’s returns.
• R-Squared:
The value is 0.7759, meaning 77.59% of the variation in the stock’s returns is explained by the NIFTY 50 index. This reflects a high explanatory power of the regression model.
• F-Statistic:
The F-statistic of 159.23 (significance 1.52E-16) indicates that the overall regression model is statistically significant, confirming the presence of a strong linear relationship.
Conclusion
The regression analysis confirms a strong and statistically significant relationship between the stock and the broader market index.
• Systematic Risk:
With a beta of 0.0474 and a very low p-value, the stock’s returns move in line with the market, indicating exposure to systematic risk.
• Firm-Specific Factors:
Since 22.41% of the variance is unexplained by the market index (R-Squared = 0.7759), a smaller portion of the stock’s returns is driven by firm-specific factors or random market noise.
References:
1. Malik, N. (2024). A Study on Financial Performance of Aditya Birla Groups. International Journal of Scientific Research in Engineering and Management (IJSREM), 9(2).
2. HDFC Securities. (2021). Aditya Birla Capital Ltd. – Re-Initiating Coverage: Granularization to drive re-rating. Institutional Research Report. [Online]. Available at: HDFC Securities Research.
