ChatGPT for (Finance) research

The Bananarama Conjecture

Dados Bibliográficos

ID23360780
AutoresMichael Dowling (0000-0002-5227-1852, Dublin City University, autor correspondente), Brian M Lucey (0000-0002-4052-8235, University of Economics Ho Chi Minh City)
Ano2023
Volume53
Páginas103662
Data de publicação2023-05-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFinance Research Letters (JOURNAL)
Identificadores do periódicoISSN: 1544-6123 • E-ISSN: 1544-6131
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.frl.2023.103662
OpenAlexW4318014888
IdiomaEN
Citações recebidas60
Referências citadas4

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.

Computer security · Conjecture · Data science · Domain (mathematical analysis) · Economics · Epistemology · Identification (biology) · Key (lock) · Quality (philosophy) · Computer Science · Ethics and Social Impacts of AI · Explainable Artificial Intelligence (XAI · Finance · FinTech, Crowdfunding, Digital Finance · Mathematics