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Leveraging artificial intelligence in economics and finance: Enhancing decision-making and market efficiency
- 1 University of New South Wales, Sydney, Australia.
* Author to whom correspondence should be addressed.
Abstract
Artificial Intelligence (AI) has revolutionized the fields of economics and finance by providing advanced tools for decision-making, predictive analysis, and market efficiency. This paper examines the integration of AI technologies such as machine learning and natural language processing with mathematical models, specifically ARIMA for economic forecasting, Black-Scholes for option pricing, and logistic regression for credit risk assessment. By enhancing these models with AI, we demonstrate significant improvements in prediction accuracy and decision-making capabilities. Case studies illustrate a 15% improvement in GDP growth prediction accuracy, a 20% reduction in option pricing errors, and a 20% decrease in credit default rates. The paper also discusses the future prospects of AI, including advancements in quantum computing and ethical considerations like data privacy and algorithmic bias. Implementation challenges such as high costs and data integration issues are addressed, providing a comprehensive roadmap for organizations to effectively leverage AI. This study underscores the transformative potential of AI in shaping the future of economic and financial landscapes, driving innovation and operational efficiency.
Keywords
Artificial Intelligence, Economics, Finance, Mathematical Model, Decision-Making.
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Cite this article
Zhang,D. (2024). Leveraging artificial intelligence in economics and finance: Enhancing decision-making and market efficiency. Applied and Computational Engineering,82,118-123.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2nd International Conference on Machine Learning and Automation
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