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ChatGPT for (finance) research: the Bananarama conjecture

Dowling, Michael orcid logoORCID: 0000-0002-8093-9039 and Lucey, Brian orcid logoORCID: 0000-0002-4052-8235 (2023) ChatGPT for (finance) research: the Bananarama conjecture. Finance Research Letters, 53 . ISSN 1544-6123

Abstract
We show, based on ratings by finance journal reviewers of generated output, that the recently released AI chatbot ChatGPT can significantly assist with finance research. In principle, these results should be generalisable across research domains. There are clear advantages for idea generation and data identification. The technology, however, is weaker on literature synthesis and developing appropriate testing frameworks. Importantly, we further demonstrate that the extent of private data and researcher domain expertise input, are key factors in determining the quality of output. We conclude by considering the implications, particularly the ethical implications, which arise from this new technology.
Metadata
Item Type:Article (Published)
Refereed:Yes
Additional Information:Article number: 103662
Uncontrolled Keywords:ChatGPT; Artificial intelligence; Finance research; Ethics
Subjects:Business > Finance
DCU Faculties and Centres:DCU Faculties and Schools > DCU Business School
Publisher:Elsevier
Official URL:https://doi.org/10.1016/j.frl.2023.103662
Copyright Information:© 2023 The Authors.
ID Code:28062
Deposited On:07 Feb 2023 09:41 by Michael Dowling . Last Modified 02 May 2023 13:46
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