Title- Relationship of Nifty 5o with Axis Bank Limited
Author- Akshayanand Shrinivas Chinabhim (05)
Introduction-
Axis Bank is one of the leading private sector banks in India. It was established in 1993 and started its operations in 1994. The bank was initially promoted by institutions like Unit Trust of India (UTI), and it was earlier known as UTI Bank before being renamed Axis Bank in 2007. The bank is headquartered in Mumbai, and it provides a wide range of financial services to individuals, businesses, and corporate clients.
Objective- Calculation of Beta and observe its significance
Literature Review-
1. News Sentiment in Deep Learning for Nifty 50 Index Forecasting
The study by Chaithra Sadashiva Kotekar, Biju R. Mohan, and Vamsidhar Kolukuluri explores the integration of news sentiment analysis with deep learning models to improve forecasting accuracy of the Nifty 50 index. It highlights that traditional models relying only on historical price data often miss market psychology reflected in news. By incorporating sentiment scores extracted from financial news, the proposed approach enhances predictive performance. Deep learning techniques such as LSTM are shown to effectively capture both temporal patterns and sentiment-driven fluctuations. The findings suggest that sentiment-enriched models outperform baseline models in terms of accuracy and robustness. Overall, the research emphasizes the importance of combining qualitative (news sentiment) and quantitative (market data) inputs for better stock market predictions.
2. Unraveling COVID-19-Induced Volatility Spillover between NIFTY 50 Spot and Options Markets
The study examines how the COVID-19 pandemic intensified volatility transmission between the NIFTY 50 Index spot and options markets. It highlights that heightened uncertainty led to stronger bidirectional spillovers, with options markets reacting more sensitively to shocks. Using advanced econometric models, the authors find that implied volatility plays a key role in forecasting market movements during crisis periods. The research underscores the importance of derivatives markets in price discovery and risk management under extreme conditions.
Data Collection-
Data for Nifty 50 and Axis Bank Limited was downloaded from nseindia.com for the period 01.01.2025 to 31.12.2025. Friday’s closing prices for Nifty 50 and Axis Bank Limited were segregated. Weekly Returns of Nifty 50 and Axis Bank Limited were calculated. Weekly Return of Nifty 50 were taken as x and Weekly Return of Axis Bank Ltd. were taken as y. y was regressed on x.
Data Analysis-
y (Axis Bank Ltd.) = -0.05+1.10 x (Nifty 50) +e
N=48, R2=0.44, F=35.58xx
P-Value= 0.8845 Tstat= 5.965
Interpretation-
The above equation shows the relationship between Nifty 50 and Axis Bank Limited, there is positive relationship which means if Nifty 50 rises Axis Bank Limited rises and vice-versa, if Nifty 50 rises by 1 unit the Axis Bank Limited will rise by 1.10 units. Number of observations are 48, Tstat for beta is 5.965, the P-value for which is 0.8845, which is greater than 0.05, meaning beta is statistically not significant at 5% level means Nifty 50 impacts at 5% level. R square is 0.44, meaning 43% of Axis Bank Limited is explained by Nifty 50. 57% is the error due to the variables not included in the model. F is 35.58, and the P-value is 0.8845 which is greater than 0.05 it means overall the model is statistically not significant at 5% level.
Conclusion-
β (Beta) is more than 1. Hence, invest for short term, if Nifty rises.
Reference-
1) Chaithra Sadashiva Kotekar, Biju R. Mohan, Vamsidhar Kolukuluri, Published in: IEEE Access, 2026, Directory of Open Access Journals
2) Nisha Tokas, Ruchia Gahlot, Neha Puri, Himani Gupta, Kunal Malhotra, Published in: Seonmul Yeongu, 2025, Directory of Open Access Journals