Author:– kushal jain
Introduction: Kalyan Jewellers was founded by T. S. Kalyanaraman, who opened the first jewellery showroom in 1993 in Thrissur, Kerala, India with an initial capital of ₹75 lakh (US$94,000 The company also has roots in the textile trading, distribution and wholesale business
In 2013, Kalyan Jewellers entered International markets by opening six showrooms on the same day in UAE.Since then it has grown to operate 30 showrooms in the Middle East across UAE, Qatar, Kuwait and Oman. As of February, 2020 Kalyan Jewellers has a wide presence of over 137 showrooms, of which 107 are in India and the remaining 30 on the Middle East.
Objectives: To calculate beta and find its significance.
Views & reviews: kalyan jewellers ltd. share price has been relatively stable in recent years, although it has faced some fluctuations due to market conditions. You can find detailed financial reports and analyst reviews on their website or financial news platforms.
Data Collection: Data is downloaded from.
https://www.nseindia.com/reports-indices-historical-index-data
https://www.nseindia.com/get-quotes/equity?symbol=VEDL
Data Analysis:
Regression Equation: Return of kalyan jewellers Ltd. =
Y= A + B * X
Y=0.3674+0.084*X
R Square = 0.00119505
P value =0.815558821 F = 0.055038085
N=48
Interpretation: The above equation shows the relationship between NIFTY 50 and kalyan jewellers Ltd. share. Return of Kalyan jewellers Ltd. is dependent variable and Return of NIFTY 50 is independent variable. Here the value is positive means there is a direct relationship. That means when the Nifty50 rise Share price also rise and when the Nifty50 decrease the share price decreases. If NIFTY 50 price rises by 1 unit, kalyan jewellers. share price will rise by 0.00119505 unit & vice versa. No. of observations are 48. We know that in regression we determine the relationship between the two variables from P value. When the P value is more than 0.05 Null Hypothesis and the P value less than 0.05 is Alternate Hypothesis. Null hypothesis means there is no relationship between the two variable and Alternate Hypothesis means there is relationship between the two variables. Here the P value for which is 0.8156 which means Null Hypothesis. Here the standard error is 3.484. This is happened due to some other condition, or we can say for other variable which are not in this model. Here the F value is 0.05503 and the P value is 0.8156 which means overall model is statically significant at 5% significant level.
Conclusion: After doing all the analysis we conclude that our B value is 0.084, it would mean that for every one unit increases in EPS, the stock price is estimated to increase by 0.084units,assuming all other factors remain constant. That if you want to go for short term investment it’s a good option for you.
References: https://www.nseindia.com/reports-indices-historical-index-data
www.kalyanjewellers.net