TITLE: Relationship of SBI Life Insurance Company Limited with Nifty 50 to calculate beta.
AUTHOR: Srushti Badwaik
OBJECTIVE: To find the relationship between SBI Life Insurance Company Limited and Nifty 50 to calculate beta of SBI Life Insurance Company Limited India and see its significance.
SBI Life Insurance
SBI Life Insurance is a joint venture life insurance company between State Bank of India (SBI), the largest state-owned banking and financial services company in India, and BNP Paribas Cardif. BNP Paribas is a French multinational bank and financial services company with global headquarters in Paris. SBI has a 55.50% stake in the company and BNP Paribas Cardif owns a 0.22% stake. Other investors are Value Line Pte. Ltd. and MacRitchie Investments Pte. Ltd., holding a 1.95% stake each while the remaining 12% is free float stake with public investors. SBI Life Insurance has an authorized capital of ₹20 billion (US$280 million) and a paid up capital of ₹10 billion (US$140 million).Mahesh Kumar Sharma as MD and CEO. Anand Pejawar as President-Operations, IT and International Business.

SBI’s Financial Inclusion
The stock markets react more quickly to the economic, political, social, and other unexpected events, the bulk of literature that focuses on short- and long-term effects of the COVID-19 happenings has been growing rapidly. The opening of bank accounts is not only essential for maintaining and improving their social and economic status of a person but also is essential for meeting all needs. The banks or formal financial institutions provide a wide variety of financial services to their customers, like deposits, withdrawal, loans, payment services, remittance facilities and life insurance products to low-income and poor households and their business entities.OBC and SBI are technically efficient during the post-introduction period under CCR model. The result is something different under the BCC model. In the present market scenario, all the sectors worldwide are facing a new challenge of lockdown due to the COVID-19 pandemic which will impact every sector globally including the banking sector.

DATA COLLECTION: – I have collected data from the website of NSE (nseindia.com) and I have taken data of one year from the 1/09/2020 to 31/08/2021. I sorted data with the help of excel sheet and further converted that data with each Friday of the year. Compared the data of NIFTY 50 and SBI Life Insurance Company Limited and turned that data into regression analysis.
SBILIFE SHARES = 0.806331+0.071293 nifty
n=47, R SQUARE=0.002945, F= 0.135871
DATA ANALYSIS: – in the above equation, the real relationship between Y (demand) and X (price) positive sign means it has a relationship like if demand increases then price also increases and if demand falls the price falls. If X rises 1 unit, then demand also rises by 0.071293 unit. R square is 0.002945 which means 0.29% of variance in demand is explained by X. F is 0.135871 and P value for this 0.06561 which is less than 0.1means overall this model is statistically significant at 1% level.
CONCLUSION: – this is good model and good beta also significant model.

Maity, S., & Sahu, T. N. (2020). Role of public sector banks towards financial inclusion during pre and post introduction of PMJDY: A study on efficiency review. Rajagiri Management Journal, 14(2), 95-105. doi:http://dx.doi.org/10.1108/RAMJ-03-2020-0009