2023, Vol. 8, Special Issue 6
Analysing the stock price of Tata motors and exploring variations in the VWAP value using logistic regression and other statistical measures
Author(s): Japita Singh and Dr. Monica Rani
Abstract: Stock market trading is the art of choosing the right stocks based on the analysis of different parameters of the stocks. The risk involved in the price of the stock affects the expected return of the investors. The more the risk, the more the expected return. Before investing your money in a stock, it has become important to analyse the risk or uncertainty of the same stock. The prediction of stock prices is a complex and challenging endeavour due the ever changing nature of the stock market. Various factors can impact the value of a stock. Logistic regression is a valuable tool that allows us to analyse and evaluate stock price trends. In this study, logistic regression will be utilised to explore the correlation between the three month Volume Weighted Average Price (VWAP) of Tata Motors Corporation and the likelihood of its stock either outperforming or underperforming in the market.
Pages: 710-712 | Views: 335 | Downloads: 29Download Full Article: Click HereHow to cite this article:
Japita Singh, Dr. Monica Rani. Analysing the stock price of Tata motors and exploring variations in the VWAP value using logistic regression and other statistical measures. Int J Stat Appl Math 2023;8(6S):710-712.