Technology - Driven Shifts in Investment Behavior and Stock Market Volatility: An Analytical Perspective

Archana T A

Abstract: This study has been carried out in order to predicting market fluctuations and the investment decision. The stock market is a primary component of the capital markets, where domain experts collaborate to enhance investor education through dynamic platforms Information Flow had its overall impact in the returns of the investor, from the market efficiency analysis we have enough evidence to state that investors cannot earn abnormal returns, as there is market information available for everybody. Banking sector is considered as one of the main barometer of economic development. In the overall study banking sector had been quite volatile as many key reforms were adopted by the Reserve Bank of India causing volatility in the performance of the Banking sectors over the time shields of the study. As such, the current study surveyed the outcome discovered the share prices of selected sample banking corporations were independent of each other. This study explores how emerging technologies such as artificial intelligence, machine learning, block chain, and big data analytics are reshaping investor behavior and stock market volatility. By analyzing technological advancements and their integration into trading strategies, sentiment analysis, and market infrastructure, the paper highlights both the benefits and risks of this digital transformation. Key findings suggest that while these technologies enhance efficiency and access, they also raise challenges concerning regulation, cyber security, and ethical use. The study emphasizes the importance of adaptive governance to ensure financial stability and equitable participation in increasingly algorithm - driven markets.

Keywords: Technology in Finance, Investment Behavior, Stock Market Volatility, Algorithmic Trading, Big Data Analytics