Artificial Intelligence in Financial Forecasting

Abstract

Numerous forecasting techniques are examined in research studies on financial forecasting, which is a hot area. By reviewing the body of research on the subject, the current study aims to determine the function and importance of artificial intelligence technologies in financial forecasting. Studies on price, return, financial crises, exchange rates, credit score, net asset value, and financial performance indicators are among the topics covered in the literature on financial forecasting. With reference to recent developments in finance, the paper aims to illustrate the function and conceptual epistemology of artificial intelligence. According to the survey, students, young people, individuals aspiring to work in the finance industry, and financial learners are the target audience for ARTIFICIAL INTELLIGENCE in the finance sector. A key component of contemporary financial management and investment decision-making is financial forecasting. The intricacy and volatility of financial markets are often beyond the scope of traditional financial forecasting techniques. Machine learning methods have become effective instruments for improving the precision and effectiveness of financial forecasting. This study investigates the potential, difficulties, and prospects for machine learning as it relates to financial forecasting. We will talk about in this essay. Financial forecasting using artificial intelligence.