Application of Artificial Intelligence in Optimizing Investment Strategies and Risk Management in Financial Markets

EasyChair Preprint 15812

Abstract

In recent years, the integration of Artificial Intelligence (AI) in the financial sector has revolutionized investment strategies and risk management practices. This paper explores the role of AI techniques such as machine learning, deep learning, and reinforcement learning in optimizing decision-making processes, portfolio management, and risk assessment. By utilizing AI models, financial institutions can predict market trends, identify investment opportunities, and manage risks more efficiently. The study evaluates various AI algorithms and their effectiveness in real-time financial applications, emphasizing the potential to enhance returns while minimizing risks. Results demonstrate that AI-driven approaches outperform traditional models in predictive accuracy and decision-making efficiency.

Keyphrases: Artificial Intelligence, Finance, Risk, portfolio

@booklet{EasyChair:15812,
  author    = {Raj Ravoon and Ahmad Hossein and Taha Amin},
  title     = {Application of Artificial Intelligence in Optimizing Investment Strategies and Risk Management in Financial Markets},
  howpublished = {EasyChair Preprint 15812},
  year      = {EasyChair, 2025}}