Applied AI for Finance and Accounting: Alternative Data and Opportunities

45 Pages Posted: 8 Apr 2024

See all articles by Sean Cao

Sean Cao

University of Maryland - Robert H. Smith School of Business

Wei Jiang

Emory University Goizueta Business School; ECGI; NBER

Lijun (Gillian) Lei

University of North Carolina at Greensboro

Qing (Clara) Zhou

Macquarie University

Date Written: January 20, 2024

Abstract

Big data and artificial intelligence (AI) have transformed the finance and accounting industries by altering the way data and information are generated, processed, and incorporated into decision-making processes. Data and information have emerged as a new class of assets, facilitating efficient contracting and risk-sharing among corporate stakeholders. Researchers have also increasingly embraced machine learning and AI analytics tools, which enable them to exploit empirical evidence to an extent that far surpasses traditional methodologies. In this review article, prepared for a special issue on Artificial Intelligence (AI) and Finance in the Pacific-Basin Finance Journal, we aim to provide a summary of the evolving landscape of AI applications in finance and accounting research and project future avenues of exploration. Given the burgeoning mass of literature in this field, it would be unproductive to attempt an exhaustive catalogue of these studies. Instead, our goal is to offer a structured framework for categorizing current research and guiding future studies. We stress the importance of blending financial and accounting domain expertise with state-of-the-art data analytics skills. This fusion is essential for researchers and professionals to harness the opportunities offered by data and analytical tools to better comprehend and influence our financial system.

Keywords: Artificial intelligence, data analytics, machine learning, finance, accounting

JEL Classification: G10

Suggested Citation

Cao, Sean S. and Jiang, Wei and Lei, Lijun and Zhou, Qing (Clara), Applied AI for Finance and Accounting: Alternative Data and Opportunities (January 20, 2024). Available at SSRN: https://ssrn.com/abstract=4753640 or http://dx.doi.org/10.2139/ssrn.4753640

Sean S. Cao

University of Maryland - Robert H. Smith School of Business ( email )

College Park, MD 20742-1815
United States

Wei Jiang (Contact Author)

Emory University Goizueta Business School ( email )

1300 Clifton Rd
Atlanta, GA 30322
United States

ECGI ( email )

c/o the Royal Academies of Belgium
Rue Ducale 1 Hertogsstraat
1000 Brussels
Belgium

NBER ( email )

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

Lijun Lei

University of North Carolina at Greensboro ( email )

P.O.Box 26170
Greensboro, NC 27412
United States

Qing (Clara) Zhou

Macquarie University ( email )

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