Artificial Intelligence and the LIPOR Approach: A Connection for Retail Equity Investors' Knowledge

Abstract

Purpose: This study deals regarding appropriate capital investment and, retail equity investors estimating the potential returns on their investment, the LIPOR technique given by Gupta and Loya could represent a better option for it.

Finding: This study has identified some gaps in the literature to address the difficulties retail investors face due to changes in governmental financial policies and changes in bank and  repo rates, among several other factors triggered by the central bank of a specific country. This study outlines the relationship between the LIPOR approach and AI tools to raise awareness among retail equity investors.

Methodology: A mixed method approach is used in this study for data analysis. Some statistical test correlation, regression, and ANOVA are used to predict the relationship between two constructs. Ethical consideration is used to collect the data from respondents in this study.

Originality: The LIPOR approach is used for justifies the stock market investment awareness among Retail Equity Investors in this research paper