Author: Samyukta Ankat
Introduction: Shoppers Stop is one of India’s leading retail chains, known for offering a wide range of fashion, beauty, and lifestyle products under one roof. Established in 1991, it has built a strong presence across major cities in India. The brand is recognized for its premium shopping experience, customer-centric approach, and trusted quality. With a mix of international and Indian brands, Shoppers Stop caters to the evolving tastes of modern consumers.
Objective: To calculate beta and observe its significance.
Literature review:
· Gupta et al. (2018) examine consumer behaviour at Shoppers Stop, finding that shoppers’ purchase patterns vary by life stage (students, early professionals, experienced professionals) and suggesting that more product variety and private label brands could improve customer satisfaction and competitive differentiation in the multi-brand retail context.
· A recent industry analysis highlights that Shoppers Stop’s strategic emphasis on premiumization and exclusive brand partnerships—alongside enhanced in-store experiences—has driven increased footfall and sales growth in key categories like beauty, suggesting a shift toward value differentiation in a competitive retail environment.
Data Collection: Data for NIFTY 50 and Shopers Stop was downloaded from NSEINDIA.COM for the period 01/12/2024 to 30/11/2025. Then Friday closing prices are calculated. Weekly returns of Nifty and Shopers Stop were calculated. Weekly returns of Nifty were taken as “X” and weekly return of Shopers Stop were taken as “Y”. Y was Regressed on x.
Data Analysis: The Equation:
Shoppers Stop = 0.94465 + 0.45403 × NIFTY
The above regression equation explains the relationship between the dependent variable (Shoppers Stop stock returns) and the independent variable (market returns) using 48 weekly observations.
- The beta (slope) coefficient is positive and very low, indicating a weak positive relationship between market returns and Shoppers Stop’s weekly returns. This implies that when market returns increase by 1 unit, Shoppers Stop returns increase marginally, reflecting low sensitivity to market movements.
- The t-statistic for the beta coefficient is low, and the p-value (0.193) is greater than 0.05, indicating that the relationship between market returns and Shoppers Stop returns is not statistically significant at conventional significance levels.
- The R-square value of 0.037 shows that approximately 3.7% of the variation in Shoppers Stop’s weekly returns is explained by market movements, while the remaining 96.3% variation is attributed to firm-specific and other external factors not included in the model.
- The F-statistic is 1.745, with a Significance F value of 0.193, which is higher than 0.05. This confirms that the overall regression model is statistically insignificant.
Conclusion: The study concludes that Shoppers Stop has a positive but very low value, indicating that its stock moves in the same direction as the market but with much lower sensitivity. Since the beta is less than one, the stock can be classified as a defensive or low-volatility stock. This makes Shoppers Stop more suitable for long-term investment, particularly for investors seeking stability and lower exposure to market risk rather than short-term speculative gains.
Reference: Mishra, P. R., Aggarwal, P. K., & Singh, R. (2023). A Study on Factors Affecting Stock Price Movements of Adani Enterprises Limited from 2016 to 2022: A Case Study. International Journal of Research, 14(5), 01–15.
Das, P. (2024). Performance Evaluation of Nifty 50 Non-Financial Companies in India. Vol. 13, No. 1, ISSN: 2278-6546.