Relationship of Nifty 50 with JK Cement Ltd.
Author
Jashmin Mohanty
MBA (Operations and Supply Chain Management)
ITM Skills University
INTRODUCTION
JK Cement Limited is a leading Indian cement manufacturer and a part of the JK Organisation. Established in 1975, the company produces grey cement, white cement, and wall putty, with manufacturing plants across India and abroad. JK Cement is known for its strong focus on quality, innovation, and sustainability. Its efficient operations and wide distribution network support the growing construction and infrastructure sector.
The company’s listing on NSE ensures high transparency, regulatory compliance, and market-driven valuation, making its stock a relevant subject for financial and investment analysis. JK Cement’s share price movements on the NSE reflect broader trends in infrastructure development, real estate activity, input cost fluctuations, and macroeconomic conditions.
From an investor’s perspective, JK Cement’s NSE-listed equity provides insights into return behavior, volatility, and risk–return dynamics within the cement sector. The company’s consistent capacity expansion, focus on operational efficiency, and sustainability initiatives influence its market performance and investor confidence.
OBJECTIVES OF THIS STUDY
To calculate the beta of Power Grid Corporation of India Limited and observe its significance.
LITERATURE REVIEW
Soni, S. (2018)
Existing literature on the Indian cement industry highlights its significant contribution to infrastructure development and economic growth. Studies on NSE-listed cement companies primarily focus on financial performance using ratio analysis, emphasizing profitability, liquidity, and solvency. Research on JK Cement indicates steady growth in sales and earnings, though concerns regarding liquidity and capital structure persist. Comparative studies reveal that market size, pricing, and quality consistency play a crucial role in competitive positioning. However, limited region-specific and integrated analyses create a research gap that this study seeks to address.
DATA COLLECTION
The historical data of J K CEMENT Limited and nifty 50 index data was downloaded from the website from the period 1/12/24 to 30/11/25. The data was manipulated to get Friday closing prices.
DATA ANALYSIS
The intercept = a = -0.281008267
Coefficient = -bx = 0.938721398
a + bx = -0.281008267-0.938721398
The above equation tells us the relationship between nifty 50 and equity of Power Grid Corporation of India Limited, negative sign means if equity of Power Grid Corporation of India Limited, demand will fall and vice versa. If the equity rises by 1 unit, the nifty 50 will fall by 0.00288891 units.
t-stat for beta is 3.147445471, p value of which is 0.002888909 is more than 0.05, rather beta is not statistically significant at 1% level so you cannot say that Power Grid reliably goes up when Nifty goes up, based on this data. R square is 0.177196362= 0.17 which means 1% of the Power Grid are explained by nifty 50, 97% is due to other reason.
The estimated regression equation is expressed as:
No of observations = 48
R square = 0.177196362
F – value = 9.906412994
CONCLUSION
The study concludes that NSE-listed cement companies operate in a highly competitive environment influenced by infrastructure growth and market demand. JK Cement shows gradual improvement in profitability, but liquidity and leverage remain key concerns for investors. Comparative analysis indicates that pricing efficiency, quality consistency, and market reach are critical determinants of financial performance. Strengthening cost control and capital structure can enhance JK Cement’s competitive position in the stock market. Overall, the study provides valuable insights for investors and policymakers evaluating the cement sector on NSE.
References (APA Style)
Soni, S. (2018). A study of financial performance of J.K. Cement. International Journal of Research and Review, 5(5), 115–119.
Gopi, K. (2018). Financial performance of cement industry in India using extended DuPont approach. Asian Journal of Managerial Science, 7(2), 21–30.