This list includes the top downloaded papers on AI in Finance posted in Q4 2025. It also includes the Top 5 Organizations that downloaded the research during this period.
1. Agentic Artificial Intelligence in Finance: A Comprehensive Survey by Irene Aldridge (Cornell University), Jolie An (Cornell University), Riley Burke (Cornell University), Michael Cao (Cornell University), Chia-Yi Chien (Cornell University), Kexin Deng (Cornell University), Ruipeng Deng (Cornell University), Yichen Gao (Cornell University), Olivia Guo (Cornell University), Shunran He (Cornell University), Zheng Li (Cornell University), George Lin (Cornell University), Weihang Lin (Cornell University), Fanyi Lyu (Cornell University), Kwunfung Ng (Cornell University), Qi Wang (Cornell University), Hanxi Xiao (Cornell University), Dora Xu (Cornell University), Yuanyuan Xue (Cornell University), Sheng Zhang (Cornell University), Sirui Zhang (Cornell University), Yun Zhang (Cornell University), Sirui Zhao (Cornell University), Xiaolong Zhao (Cornell University), Yihan Zhao (Cornell University), & Waner Zheng (Cornell University)
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2. ChatGPT in Systematic Investing – Enhancing Risk-Adjusted Returns with LLMs by Nikolas Anic (Finreon), Andrea Barbon (University of St. Gallen), Ralf Seiz (University of St. Gallen), & Carlo Zarattini (Concretum Group)
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3. Supply Chain Management in the AI Era: A Vision Statement from the Operations Management Community by Maxime C. Cohen (McGill University), Tinglong Dai (Johns Hopkins University), Georgia Perakis (Massachusetts Institute of Technology), Narendra Agrawal (Santa Clara University), Gad Allon (University of Pennsylvania), Robert N. Boute (KU Leuven), Gerard P Cachon (University of Pennsylvania), Zhe Chen (JD.com Smart Supply Chain Y), Morris A. Cohen (University of Pennsylvania), Rares Cristian (Massachusetts Institute of Technology), Vinayak Deshpande (University of North Carolina (UNC) at Chapel Hill), Francis de Véricourt (European School of Management and Technology), Jan C. Fransoo (Tilburg University), Joren Gijsbrechts (ESADE Business School), Pavithra Harsha (IBM Research), Ming Hu (University of Toronto), Pinar Keskinocak (Georgia Institute of Technology), Caleb Kwon (University of Texas at Austin), Hau L. Lee (Stanford University), Sheng Liu (University of Toronto), Konstantina Mellou (Microsoft Research), Ishai Menache (Microsoft Research), Jason W. Miller (Michigan State University), Serguei Netessine (University of Pennsylvania), Tava Lennon Olsen (University of Melbourne), Jeevan Pathuri (Microsoft Corporation), Robert Peels, Yongzhi Qi (JD.com Smart Supply Chain Y), Ananth Raman (Harvard University), Anne Robinson, Zuo-Jun Max Shen (The University of Hong Kong), Masha Shunko (University of Washington), David Simchi-Levi (Massachusetts Institute of Technology), Hannah Smalley (Georgia Institute of Technology), Jing-Sheng Jeannette Song (Duke University), Jayashankar M. Swaminathan (University of North Carolina (UNC) at Chapel Hill), Christopher S. Tang (University of California, Los Angeles), Sridhar R. Tayur (Carnegie Mellon University), Maximiliano Udenio (KU Leuven), Jan A. Van Mieghem (Northwestern University), Yuqian Xu (University of North Carolina (UNC) at Chapel Hill), & Dennis Zhang (Washington University in St. Louis)
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4. Move Fast without Breaking the Bank Model Risk Management of GenAI workflows by Matthew Wicker (Imperial College London), Lukasz Szpruch (University of Edinburgh), & Søren Mørk (Accenture)
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5. Machine Learning Meets Markowitz by Yijie Wang (Tongji University), Hao Gao (Tsinghua University), Campbell R. Harvey (Duke University), Yan Liu (Tsinghua University), & Xinyuan Tao (New Jersey Institute of Technology)
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6. Learning Firm Characteristics for Asset Management by Álvaro Cartea (University of Oxford), Mihai Cucuringu (University of California, Los Angeles), & Donggeun Kim (University of Oxford)
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7. The Agentic Frontier: Artificial Intelligence in Real Estate by Cayman Seagraves (University of Tulsa), Michael Seiler (College of William & Mary), & Stace Sirmans (Auburn University)
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8. AI Automation and Effort Allocation: Evidence from Sophisticated Investors by Yuan Gao (University of Arizona)
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9. Monetary Policy Shocks: A New Hope — Large Language Models and Central Bank Communication by Ruben Fernandez-Fuertes (Bocconi University)
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10. The Growth and Performance of Artificial Intelligence in Asset Management by Shuang Chen (University of Melbourne), Clemens Sialm (University of Texas at Austin), & David X Xu (Southern Methodist University)
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