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POST DE S&P GLOBAL MARKET INTELLIGENCE

S&P Global Market Intelligence

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3 sem. Modifié
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A recent study from The University of Chicago Booth School of Business,
"Financial Statement Analysis with Large Language Models," investigates whether
LLMs like GPT4 can analyze financial statements as effectively as professional
analysts. Utilizing S&P Global's Compustat data, the study provided GPT4 with
standardized, anonymous financial statements and tasked it with predicting
future earnings directions. Impressively, without any further contextual
information about the company other than the financial statement data, the LLM
outperformed human analysts, even in situations where human analysts struggled.
The research also found that the LLM's prediction accuracy rivals that of
narrowly trained state-of-the-art machine learning models. Read the report:
https://okt.to/UileqC Authors: Alex Kim Maximilian Muhn Valeri Nikolaev Explore
Compustat data: https://okt.to/nwV6oR

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