Title: Relationship of Relaxo with Nifty
Author: Rachana Taralkar
Introduction:
Relaxo Footwears Limited, a leading Indian footwear company, has been a household name for over four decades. Established in 1976, Relaxo has grown exponentially, becoming one of the largest footwear manufacturers in India. With a strong commitment to quality, comfort, and style, Relaxooffers a wide range of footwear products, including casual shoes, slippers, sandals, and formal shoes, catering to diverse consumer preferences. The company’s popular brands, such as Relaxo, Sparx, and Bahamas, have become synonymous with comfort and durability, making Relaxo a trusted name in the Indian footwear industry. Today, Relaxo continues to innovate and expand its product portfolio, aiming to become a global leader in the footwear sector.
Objective:
To find out the Beta of Relaxo and it’s significance
Literature Review:
Impact of Changes in Composition of Exchange Price
Wańczyk Krzysztof (2018)The study examines the impact of changes in the composition of stock exchange indices (WIG20, mWIG40, and sWIG80) on the Warsaw Stock Exchange and how they affect the stock prices of Polish companies. Using the abnormal return (AR) methodology, the research analyzes stock performance one month before and six months after the index reclassification. The findings indicate that stocks tend to rise by an average of 0.52 percentage points in the month leading up to their inclusion in a new index, reflecting market anticipation. However, their performance immediately after entry varies, with some experiencing a decline. Over the six-month period following index entry, these stocks generally outperform their benchmarks by an average of 0.97 percentage points, with mid-cap (mWIG40) and small-cap (sWIG80) companies benefiting the most. The study highlights the market’s tendency to price in future changes, supporting the investment strategy of buying stocks ahead of expected index revisions. Further research could explore how liquidity and volatility evolve before and after index inclusion.
Effect of Exchange Rate, Foreign Exchange Reserves and Consumer Price Index
Muhammad Subardin,et al (2020)The study examines the impact of exchange rates, foreign exchange reserves, and the consumer price index on the Islamic stock indices of Indonesia, Malaysia, Japan, and India. Using panel data regression for 2019, the analysis found that these three factors significantly influenced Islamic stock indices, explaining 99% of their variation. Specifically, exchange rate fluctuations had a negative impact, while foreign exchange reserves and the consumer price index positively affected Islamic stock performance. The findings highlight the strong relationship between macroeconomic variables and Islamic stock markets, suggesting that policymakers and investors should consider these factors when making financial decisions.chain disruptions. This comprehensive review provides valuable insights into risk management strategies for investors and policymakers navigating the pharmaceutical market.
Data Collection:
Relaxo and Nifty50 data was downloaded from NSE India website for period from 1-1-24 to 31-12-24 and data was manipulated to find out the Friday closing prices. Where weekly returns of NIFTY 50 will be Y & Weekly returns of Relaxo will be X , Y regression on X
Data Analysis:
Equation: RELAXO = 0.0027+0.088Nifty50
Interpretation:
The regression equation describes the relationship between the independent variable (X) and the dependent variable (Y), indicating that Y is the dependent variable while X is the independent variable. The positive coefficient of 0.0885 suggests that for every unit increase in X, Y is expected to increase by 0.0885 units.With 46 observations (), the -squared value is 0.0513, indicating that approximately 5.13% of the variation in Y can be explained by changes in X, while the remaining 94.87% is attributable to other factors not included in the model. The F-value of the model is 2.3783.The p-value for the slope is 0.1302, which is greater than the conventional threshold of 0.05, indicating that the relationship between X and Y is not statistically significant at the 5% level. Consequently, this model does not provide strong evidence of a significant linear relationship between X and Y.
Conclusion:
The independent variable’s beta of 0.0885 indicates that it has low volatility compared to the market, suggesting that it is relatively stable. However, since the relationship is not statistically significant, this model does not provide strong evidence for predictive reliability.
References:
Wańczyk Krzysztof, 2018. “Impact of Changes in Composition of Exchange Price Index Shares of Listed Polish Companies,” Financial Sciences. Nauki o Finansach, Sciendo, vol. 23(3), pages 111-121, September.
Dolly Tanzil & Marlina Widiyanti & Muhammad Subardin, 2020. “Effect of Exchange Rate, Foreign Exchange Reserves and Consumer Price Index on the Shariah Shares Index of Asian Countries,” Oblik i finansi, Institute of Accounting and Finance, issue 3, pages 77-82, September.