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Top Papers on AI in Finance
This list includes the top downloaded papers on AI in Finance posted in Q1 2025. It also includes the Top 5 Organizations that downloaded the research during this period.1. AI-Powered (Finance) Scholarship by Robert Novy-Marx & Mihail VelikovTop Downloading Organizations:2. Simulating the Survey of Professional Forecasters by Anne Lundgaard Hansen, John J. Horton, Sophia Kazinnik, Daniela Puzzello, & Ali ZarifhonarvarTop Downloading Organizations:3. DeepSeek and FinTech: The Democratization of AI and Its Global Implications by David KrauseTop Downloading Organizations:4. Artificial Intelligence Asset Pricing Models by Bryan T. Kelly, Boris Kuznetsov, Semyon Malamud, & Teng Andrea XuTop Downloading Organizations:5. The Natural Language of Finance by Gerard Hoberg & Asaf ManelaTop Downloading Organizations:6. Machine Learning for Pairs Trading: a Clustering-based Approach by Francesco Rotondi & Federico RussoTop Downloading Organizations:7. FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance by Xiao-Yang Liu, Hongyang Yang, Qian Chen, Runjia Zhang, Liuqing Yang, Bowen Xiao, & Christina WangTop Downloading Organizations:8. Large Language Models in Finance: Reasoning by Miquel Noguer I AlonsoTop Downloading Organizations:9. Axes that matter: PCA with a difference by Antoine Savine & Brian Norsk HugeTop Downloading Organizations:10. Look-Ahead Bias in Large Language Models (LLMs): Implications and Applications in Finance by Miquel Noguer I AlonsoTop Downloading Organizations:To read more about AI in Finance, subscribe to SSRNs Technology & Investing eJournal or view other papers here.
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