Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection
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Cited by:
- Han Ding & Yinheng Li & Junhao Wang & Hang Chen, 2024. "Large Language Model Agent in Financial Trading: A Survey," Papers 2408.06361, arXiv.org.
- Kassiani Papasotiriou & Srijan Sood & Shayleen Reynolds & Tucker Balch, 2024. "AI in Investment Analysis: LLMs for Equity Stock Ratings," Papers 2411.00856, arXiv.org.
- Joel R. Bock, 2024. "Generating long-horizon stock "buy" signals with a neural language model," Papers 2410.18988, arXiv.org.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-AIN-2024-02-05 (Artificial Intelligence)
- NEP-BIG-2024-02-05 (Big Data)
- NEP-CMP-2024-02-05 (Computational Economics)
- NEP-FMK-2024-02-05 (Financial Markets)
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