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Can ChatGPT improve investment decisions? From a portfolio management perspective

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  • Ko, Hyungjin
  • Lee, Jaewook

Abstract

We examine ChatGPT, a prominent Large Language Model (LLM), in supporting portfolio management with a focus on asset selection and diversification through quantitative methods. We use ChatGPT to select assets from various asset classes and evaluate the diversification effect of its selections. Our results suggest that ChatGPT’s selections are statistically significantly better in diversity index than randomly selected assets. We also construct portfolios based on ChatGPT’s selections and find that they outperform portfolios built on randomly selected assets. Overall, our study contributes to a better understanding of the role of LLMs like ChatGPT as potential assistants for portfolio managers.

Suggested Citation

  • Ko, Hyungjin & Lee, Jaewook, 2024. "Can ChatGPT improve investment decisions? From a portfolio management perspective," Finance Research Letters, Elsevier, vol. 64(C).
    • Handle: RePEc:eee:finlet:v:64:y:2024:i:c:s154461232400463x
    DOI: 10.1016/j.frl.2024.105433
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    2. Yuqi Nie & Yaxuan Kong & Xiaowen Dong & John M. Mulvey & H. Vincent Poor & Qingsong Wen & Stefan Zohren, 2024. "A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges," Papers 2406.11903, arXiv.org.

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