AI and Predictive Analytics in Financial Derivatives: Risk Management Strategies

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Published: Aug 17, 2022

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Dr. Love Kumar

Abstract

This paper investigates the application of AI in managing risks associated with financial derivatives. It explores how machine learning algorithms predict price movements, volatility, and counterparty risks in derivative markets. The study highlights AI's ability to optimize hedging strategies and improve pricing models for options, futures, and swaps. Real-world examples from investment banks and trading desks illustrate the practical benefits of AI in enhancing market efficiency and reducing risk exposure. The paper also discusses regulatory challenges and the implications of AI-driven decision-making in highly leveraged markets.

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How to Cite
Kumar, D. L. (2022). AI and Predictive Analytics in Financial Derivatives: Risk Management Strategies. International Journal of Computer Vision and Computer Science, 4(4). Retrieved from https://ijaisd.com/index.php/IJCVCS/article/view/53
Issue
Vol. 4 No. 4 (2022): IJCVCS
Section
Articles

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