ChatGPT for (Finance) research: The Bananarama Conjecture

被引:341
作者
Dowling, Michael [1 ,6 ]
Lucey, Brian [2 ,3 ,4 ,5 ]
机构
[1] Dublin City Univ, Business Sch, Dublin, Ireland
[2] Trinity Coll Dublin, Trinity Business Sch, Dublin, Ireland
[3] Univ Abu Dhabi, Abu Dhabi, U Arab Emirates
[4] Univ Econ, Ho Chi Minh City, Vietnam
[5] Jiangxi Univ Econ & Finance, Nanchang, Peoples R China
[6] Dublin City Univ, Business Sch, Dublin, Ireland
关键词
ChatGPT; Artificial intelligence; Finance research; Ethics;
D O I
10.1016/j.frl.2023.103662
中图分类号
F8 [财政、金融];
学科分类号
020219 [财政学(含:税收学)];
摘要
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.
引用
收藏
页数:6
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