AI in Finance: A Review

36 Pages Posted: 6 Aug 2020 Last revised: 23 Nov 2021

See all articles by Longbing Cao

Longbing Cao

University of Technology Sydney; University of Technology Sydney (UTS) - Data Science Institute

Date Written: July 10, 2020

Abstract

The recent booming of AI in FinTech evidences the significant developments and potential of AI for making smart FinTech, economy, finance and society. AI-empowered smart FinTech has emerged as a sexy and increasingly critical area in AI, data science, economics, finance, and other relevant research disciplines and business domains. This trend was built on the long history of AI in finance, and the new-generation AI, data science and machine learning are fundamentally and seamlessly transforming the vision, missions, objectives, paradigms, theories, approaches, tools and social aspects of economics and finance and driving smart FinTech. AI is empowering more personalized and advanced and better, safer and newer mainstream and alternative economic-financial mechanisms, products, models, services, systems, and applications. This review summarizes the lasting research on AI in finance and focuses on creating a comprehensive, multidimensional and economic-financial problem-driven research landscape of the roles, research directions and opportunities of AI in new-generation FinTech and finance.

Keywords: Artificial intelligence, economics, finance, AI in FinTech, FinTech, AI in finance, AI in economics, data science, machine learning, data analytics, advanced analytics

JEL Classification: G001

Suggested Citation

Cao, Longbing, AI in Finance: A Review (July 10, 2020). Available at SSRN: https://ssrn.com/abstract=3647625 or http://dx.doi.org/10.2139/ssrn.3647625

Longbing Cao (Contact Author)

University of Technology Sydney ( email )

15 Broadway, Ultimo
PO Box 123
Sydney, NSW 2007
Australia

HOME PAGE: http://www.datasciences.org

University of Technology Sydney (UTS) - Data Science Institute ( email )

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