IMPACT OF ARTIFICIAL INTELLIGENCE ON FINANCIAL MARKETS IN INDIA- A CASE STUDY OF TELANGANA

This paper includes monetary and non-monetary data to acquire a dependable image of organizations' presentations, and the yearly report is one of the principal hotspots for the dynamic course of financial backers in the monetary market. Assess how AI is enhancing or transforming trading strategies through automation and high-frequency trading. Examine how AI-driven predictive models are being used to forecast stock prices, market trends, and economic indicators more accurately than traditional methods. Explore how AI helps financial institutions manage risks, such as credit risk, market risk, and operational risk, by identifying patterns and anomalies. Design/Methodology/Approach The study employed used a Primary data, using a structured questionnaire administered through an online platform targeting a selection of forensic accounting investigators and forensic accountants. The reliability and validity of the instrument were confirmed with the use of Cronbach Alpha and descriptive statistics. The sample size is 300 from 10 various corporate financial companies