Report
Topic: Relationship of Nifty 50 and Adani Ports
Author: Aangi Milan Patwa
Introduction:
Adani Ports is India’s largest commercial port operator, part of the Adani Group, and a vital contributor to the country’s logistics and trade infrastructure. Established in 1998, Adani Ports has expanded from a single port at Mundra, Gujarat, to a network of ports across India’s eastern and western coasts. The company handles a diverse mix of cargo including containers, coal, crude oil, and fertilizers, and plays a strategic role in strengthening India’s global trade connectivity. With a focus on innovation, efficiency, and sustainability, Adani Ports continues to drive India’s maritime growth and supply chain integration.
Objectives:
Calculation of Beta of Adani Ports and observe its significance.
Literature Review:
Research on the relationship between stock returns and market indices such as Nifty 50 emphasizes the importance of beta as a measure of systematic risk. Prior studies indicate that beta reflects a stock’s sensitivity to overall market movements, where a higher beta implies greater volatility and risk. In the context of infrastructure and logistics companies, beta often tends to be greater than one, suggesting that such stocks respond more aggressively to market fluctuations due to their dependence on economic cycles and trade volumes.
Another stream of research focusing on Indian port and logistics companies highlights that firms like Adani Ports are influenced by macroeconomic conditions, global trade trends, and policy developments. Studies have shown that these companies exhibit a strong positive correlation with market indices, reflecting their cyclical nature. Therefore, analysing Adani Ports’ beta with respect to Nifty 50 helps investors understand how market changes impact the company’s returns and aids in portfolio diversification decisions.
Data Collection:
Historical data of Adani Ports and Nifty 50 was downloaded from nseindia.com and Friday closing prices were calculated; weekly returns of Nifty 50 were taken as X and weekly return of Adani Ports taken as Y. Y was regressed on X.
Data Analysis:
Based on the Regression Analysis performed on the Weekly returns we get this:
Regression Equation:
Y = −0.179 + 1.271X
N = 48 | R square = 0.390460793 | F = 29.46684358| P value = 1.271
The above equation tells us the relationship between weekly return on Adani Ports (dependent variable) and weekly return of Nifty50 (independent variable). The positive coefficient indicates a positive relationship between Nifty50 returns and Adani Ports returns. This means that when the Nifty50 return increases by 1 unit, the Adani Ports return increases by approximately 1.271 units and vice versa. T stat for Beta (β) is 5.428337092 and the corresponding p-value is 0.00000206, which is Less than 0.05. Hence Beta is statistically significant, implying that the weekly return of Nifty does have statistically significant impact on the return on Adani Ports at the 0.0002% level. The R-square value is 0.390460793, which means that only 39.04% of the variation in Adani Ports returns is explained by Nifty returns while the remaining 60.96% variation is due to other factors. The F-statistic is 29.466 with a p-value of 0.0002 which is again less than 0.05 indicating that the overall regression model is statistically significant.
Conclusion:
Since the Beta value (1.271) is greater than 1, the stock moves more than the market. So, it is good for short-term investment when the market is rising, but it is riskier when the market falls.
Reference:
Pandey, I. M. (2020). Financial management (12th ed.). Vikas Publishing House Pvt. Ltd.
National Stock Exchange of India Ltd. (2024). Historical market data. Retrieved from https://www.nseindia.com