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العربية
العربية
March 3, 2026
Open Access
The use of AI in 10-K Filings: An Empirical Analysis of SP 500 Reports
MP
Marcelo Perlin
CF
Cristian Rogério Foguesatto
Universidade Federal do Rio Grande do Sul
AG
Aliki Karagrigoriou Galanos
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Key Points
AI use in 10-K filings enhances the accuracy of financial information, improving investor understanding.
Observational analysis of S&P 500 reports shows significant data extraction efficiency through AI, with notable accuracy metrics.
The study utilizes machine learning and natural language processing techniques to analyze and interpret the data effectively.
Findings highlight the potential for AI to transform financial reporting practices, indicating a shift towards more automated systems.
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Perlin et al. (Thu,) studied this question.
synapsesocial.com/papers/69a7667fbadf0bb9e87dd3a9
https://doi.org/https://doi.org/10.2139/ssrn.6108946
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استخدام الذكاء الاصطناعي في الإقرارات 10-K: تحليل تجريبي لتقارير S&P 500 | Synapse