Relationship of Nifty 50 with Dr. Reddy’s Laboratories Limited

Author: Dhwani Gupta

Introduction:

Dr. Reddy’s Laboratories is a leading Indian multinational pharmaceutical company. In finance, evaluating a stock’s performance relative to a market benchmark (like the NIFTY 50) is essential for understanding its risk-return profile. This analysis uses the Capital Asset Pricing Model (CAPM) framework to determine the stock’s systematic risk, commonly known as Beta.

Objective:

The primary objectives of this analysis are:

  • To calculate the Beta of Dr. Reddy’s Laboratories to assess its sensitivity to market movements.
  • To evaluate the statistical significance of the relationship between the stock and the index.
  • To analyze the volatility and return characteristics of the stock compared to the benchmark.

Literature Review:

In financial theory, the Capital Asset Pricing Model (CAPM) posits that the expected return of an asset is a function of the risk-free rate and a risk premium based on the asset’s Beta.

  • Beta: Measures the systematic risk. A beta > 1 implies the stock is more volatile than the market (aggressive), while a beta < 1 implies it is less volatile (defensive).
  • R-Squared (R^2): Represents the proportion of the variance for a dependent variable that’s explained by an independent variable in a regression model.
  • Alpha: Represents the excess return of an investment relative to the return of a benchmark index.

·        Regression Equation: The relationship is modeled as:

 
 

 

 

 

Ri = Alpha + Beta (Rm) + Epsilon


Where Ri is the stock return, Rm is the market return, alpha is the intercept (excess return), and epsilon is the error term.

Data Collection:

The data consists of weekly closing prices and returns for:

  • Dependent Variable (Y): Dr. Reddy’s Laboratories (Stock).
  • Independent Variable (X): NIFTY 50 (Market Index).
  • Timeframe: December 1, 2024, to November 30, 2025 (48 weekly observations).
  • Source: National Stock Exchange (NSE) via the provided CSV dataset.

Data Analysis:

The analysis was performed using linear regression on the weekly returns of the stock and the index.

Descriptive Statistics

Metric

Dr. Reddy’s (Stock)

NIFTY 50 (Index)

Mean Weekly Return

0.049%

-0.108%

Standard Deviation (Volatility)

3.43%

1.88%

Minimum Weekly Return

-7.24%

-5.04%

Maximum Weekly Return

7.18%

5.01%

Regression Results

Based on the regression analysis:

  • Beta: 0.7307
    • Interpretation: Dr. Reddy’s is a defensive stock. For every 1% move in the NIFTY 50, the stock is expected to move by 0.73%.
  • R-Squared (R^2): 0.1606
    • Interpretation: Only about 16 of the stock’s price movement is explained by the market. The remaining 84% is due to idiosyncratic risk (company-specific factors like drug approvals, R&D results, or earnings).
  • P-Value: 0.0048
    • Interpretation: Since the p-value is less than 0.05, the relationship between the stock and the index is statistically significant at a 95% confidence level.
  • Alpha: 0.1277
    • Interpretation: The stock provided a small positive average excess return over the market during this period, independent of market movements.
  • Regression Equation:

Dr. Reddy (Y) = 0.1277 + 0.7307 (Nifty 50 X)


Conclusion:

The analysis reveals that Dr. Reddy’s Laboratories acts as a defensive investment with a Beta of 0.73. While the stock itself is more volatile (Standard Deviation of 3.43%) than the index (1.88%), its sensitivity to broad market swings is lower.

The low R-squared suggests that an investor in Dr. Reddy’s is primarily exposed to pharmaceutical industry-specific risks rather than general market trends. This makes it a good candidate for portfolio diversification, as it does not move perfectly in sync with the NIFTY 50.

References:

  1. Sharpe, W. F. (1964). Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk. Journal of Finance.
  2. Bodie, Z., Kane, A., & Marcus, A. J. (2021). Investments. McGraw-Hill Education.
  3. Damodaran, A. (2012). Investment Valuation: Tools and Techniques for Determining the Value of Any Asset. Wiley.

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