Understanding Investors Behaviour Based On Changing Market Scenario Due to COVID-19

Abstract

COVID-19 has created a misbalance in the global economy by affecting multiple sectors. It has also affected the mindset and, consequently, the behavior of economic agents, one of whom is the investors. This study aims to learn about investors’ investment behavior in COVID-19 by looking at their preferred sources of information, which influence investment decisions, and their preferred investment avenues. A deep learning model is also proposed for accurately predicting stock market movement. For this study, data was collected from 50 investors. Factors such as the respondents’ age, salary, educational background, investment experience, and income were considered when selecting the sample. According to the findings, most investors trust modern investment vehicles such as stocks and mutual funds. For most investors, liquidity and fund safety have emerged as the most important factors influencing their investment goals. A deep learning model proposed is a combination of CNN network plus bidirectional LSTM network.