Machine Learning in Finance: Applications, Risks, and Opportunities
Abstract
This paper examines the applications, risks, and opportunities of machine learning (ML) in finance. It discusses ML techniques employed in financial modeling, risk assessment, trading strategies, and fraud detection. The paper evaluates the impact of ML on financial markets, regulatory compliance, and the ethical implications of algorithmic decision-making in finance.
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References
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