Innovation, Sentiment, Great Market Crash and Stock Market Value Reflection: A case of Over-confidence and Attribution Bias of Stock’s Investors

Abstract

This study investigates how technological innovations and sentiments of the investors influenced the stock market, which may leads to the great market crashes. This investigative research inspected what and how over-confidence and attribution biases of the investors in the stock market and determined the factors that influenced the act of investors in the market which ultimately affects the market. This study used the case-study interview approach to get the wide range of the data from the diverse and well equipped respondents. The practical implication of the study is that it delineates the factors and how they can be controlled so that the market conditions can be improved.