The Role of Artificial Intelligence in Predicting Risks in Financial Markets

Abstract

This research addresses a vital topic: "The Role of Artificial Intelligence in Predicting Risks in Financial Markets", in light of the growing challenges faced by modern financial markets due to price volatility and rapid global changes. These challenges highlight the urgent need for advanced tools to predict risks and maintain financial stability. The main objective of this study is to explore the theoretical framework of artificial intelligence (AI) techniques and their applications in the financial sector, with a particular focus on their ability to predict risks in financial markets. The research analyses key The most important machine learning tools and algorithms by reviewing relevant academic literature and prior studies. The study adopts a descriptive analytical methodology, relying on an extensive theoretical review of recent academic sources. It aims to provide a comprehensive scientific perspective on the effectiveness of AI in risk management and to clarify the differences between AI-based and traditional risk prediction methods. Ultimately, the research seeks to offer conclusions and recommendations that will benefit financial decision-makers and contribute to guiding further applied research that aims to enhance the use of AI in promoting stability and efficiency in financial markets.