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BloombergGPT: A Large Language Model for Finance

Citations

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Cited by:

  1. Qianggang Ding & Haochen Shi & Jiadong Guo & Bang Liu, 2024. "TradExpert: Revolutionizing Trading with Mixture of Expert LLMs," Papers 2411.00782, arXiv.org, revised May 2025.
  2. Maxim Ostroukhov & Ruslan Mikhailov & Vladimir Iashin & Artem Sokolov & Andrei Akshonov & Vitaly Protasov & Dmitrii Beloborodov & Vince Mullin & Roman Yokunda Enzmann & Georgios Kolovos & Jason Render, 2026. "PRAGMA: Revolut Foundation Model," Papers 2604.08649, arXiv.org.
  3. Imron, Mohammad Izzat Raihan, 2025. "Sustainability in the corporate sector: A news textual analysis approach to measuring ESG performance," Junior Management Science (JUMS), Junior Management Science e. V., vol. 10(2), pages 369-401.
  4. Maher Hamid, 2026. "Implementing domain-specific LLMs for strategic investment decisions: a retrospective case study comparing AI and human expertise," Digital Finance, Springer, vol. 8(1), pages 1-134, March.
  5. Fernando Spadea & Oshani Seneviratne, 2025. "Aligning Language Models with Investor and Market Behavior for Financial Recommendations," Papers 2510.15993, arXiv.org.
  6. Mohammed-Khalil Ghali & Cecil Pang & Oscar Molina & Carlos Gershenson-Garcia & Daehan Won, 2025. "Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News," Papers 2508.06497, arXiv.org.
  7. Dong, Mengming Michael & Stratopoulos, Theophanis C. & Wang, Victor Xiaoqi, 2024. "A scoping review of ChatGPT research in accounting and finance," International Journal of Accounting Information Systems, Elsevier, vol. 55(C).
  8. Wentao Zhang & Lingxuan Zhao & Haochong Xia & Shuo Sun & Jiaze Sun & Molei Qin & Xinyi Li & Yuqing Zhao & Yilei Zhao & Xinyu Cai & Longtao Zheng & Xinrun Wang & Bo An, 2024. "A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist," Papers 2402.18485, arXiv.org, revised Jun 2024.
  9. Yijia Chen, 2026. "Be Water: An Evolutionary Proof for Trend-Following," Papers 2603.29593, arXiv.org.
  10. Takayuki Sakuma, 2025. "Diagram-to-Circuit QNLP for Financial Sentiment Analysis," Papers 2511.18804, arXiv.org, revised Dec 2025.
  11. Zhiyu Cao & Zachary Feinstein, 2024. "Large Language Model in Financial Regulatory Interpretation," Papers 2405.06808, arXiv.org, revised Jul 2024.
  12. Masoud Soleimani, 2025. "LLM-Generated Counterfactual Stress Scenarios for Portfolio Risk Simulation via Hybrid Prompt-RAG Pipeline," Papers 2512.07867, arXiv.org.
  13. Xiangyu Li & Yawen Zeng & Xiaofen Xing & Jin Xu & Xiangmin Xu, 2025. "HedgeAgents: A Balanced-aware Multi-agent Financial Trading System," Papers 2502.13165, arXiv.org.
  14. Hiromasa Nakatsuka & Yoshiyuki Suimon, 2025. "Extracting information and sentiment analysis on dialogue in financial results briefing," Digital Finance, Springer, vol. 7(4), pages 605-621, December.
  15. Yikuan Huang & Zheqi Fan & Kaiqi Hu & Yifan Ye, 2026. "From Hypotheses to Factors: Constrained LLM Agents in Cryptocurrency Markets," Papers 2604.26747, arXiv.org.
  16. Mingxuan Yi & Vidal Mehra & Jing Chen & John Cartlidge, 2026. "Enhancing Regime Shift Detection Using Unstructured Data: A Study on the Treasury Market," Papers 2605.30363, arXiv.org.
  17. Frank Xing, 2024. "Designing Heterogeneous LLM Agents for Financial Sentiment Analysis," Papers 2401.05799, arXiv.org.
  18. Vasant Dhar & Jo~ao Sedoc, 2025. "DBOT: Artificial Intelligence for Systematic Long-Term Investing," Papers 2504.05639, arXiv.org.
  19. Ching-Nam Hang & Pei-Duo Yu & Roberto Morabito & Chee-Wei Tan, 2024. "Large Language Models Meet Next-Generation Networking Technologies: A Review," Future Internet, MDPI, vol. 16(10), pages 1-29, October.
  20. Alina Voronina & Oleksandr Romanko & Ruiwen Cao & Roy H. Kwon & Rafael Mendoza-Arriaga, 2025. "Generative AI-enhanced Sector-based Investment Portfolio Construction," Papers 2512.24526, arXiv.org.
  21. Masanori Hirano & Kentaro Imajo, 2024. "The Construction of Instruction-tuned LLMs for Finance without Instruction Data Using Continual Pretraining and Model Merging," Papers 2409.19854, arXiv.org.
  22. Yijia Xiao & Edward Sun & Tong Chen & Fang Wu & Di Luo & Wei Wang, 2025. "Trading-R1: Financial Trading with LLM Reasoning via Reinforcement Learning," Papers 2509.11420, arXiv.org.
  23. Alejandro Lopez-Lira & Yuehua Tang, 2023. "Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models," Papers 2304.07619, arXiv.org, revised Oct 2025.
  24. Pu Cheng & Juncheng Liu & Yunshen Long, 2026. "PolyBench: Benchmarking LLM Forecasting and Trading Capabilities on Live Prediction Market Data," Papers 2604.14199, arXiv.org.
  25. Lezhi Li & Ting-Yu Chang & Hai Wang, 2023. "Multimodal Gen-AI for Fundamental Investment Research," Papers 2401.06164, arXiv.org.
  26. Zhaofeng Zhang & Banghao Chen & Shengxin Zhu & Nicolas Langren'e, 2024. "Quantformer: from attention to profit with a quantitative transformer trading strategy," Papers 2404.00424, arXiv.org, revised Aug 2025.
  27. Yuhan Cheng & Heyang Zhou & Yanchu Liu, 2025. "Large Language Models and Futures Price Factors in China," Papers 2509.23609, arXiv.org.
  28. Yikuan Huang & Zheqi Fan & Kaiqi Hu & Yifan Ye, 2026. "Cross-Stock Predictability via LLM-Augmented Semantic Networks," Papers 2604.19476, arXiv.org, revised Apr 2026.
  29. Wu, Zongxiao & Dong, Yizhe & Li, Yaoyiran & Shi, Baofeng, 2025. "Unleashing the power of text for credit default prediction: Comparing human-written and generative AI-refined texts," European Journal of Operational Research, Elsevier, vol. 326(3), pages 691-706.
  30. Cristina Angelico & Enrico Bernardini, 2026. "Can GenAI fill banks' emissions data gaps?," Questioni di Economia e Finanza (Occasional Papers) 1003, Bank of Italy, Economic Research and International Relations Area.
  31. Hongyang Yang & Likun Lin & Yang She & Xinyu Liao & Jiaoyang Wang & Runjia Zhang & Yuquan Mo & Christina Dan Wang, 2025. "FinRobot: Generative Business Process AI Agents for Enterprise Resource Planning in Finance," Papers 2506.01423, arXiv.org.
  32. Crijman Alexandru-Mihai & Maldareanu Andreea & Dumitru Valentin-Florentin, 2025. "The Evolution Of Large Language Models: From Chatgpt To Multi-Model Ai Agents And Their Impact On The Financial And Economic Sectors," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 4, pages 323-334, August.
  33. Gongao Zhang & Haijiang Zeng & Lu Jiang, 2026. "Uni-FinLLM: A Unified Multimodal Large Language Model with Modular Task Heads for Micro-Level Stock Prediction and Macro-Level Systemic Risk Assessment," Papers 2601.02677, arXiv.org.
  34. Tianyu Zhou & Pinqiao Wang & Yilin Wu & Hongyang Yang, 2024. "FinRobot: AI Agent for Equity Research and Valuation with Large Language Models," Papers 2411.08804, arXiv.org.
  35. Moreno, Alejandro & Ordieres-Meré, Joaquín, 2025. "Predicting stock price trends using language models to extract the sentiment from analyst reports: Evidence from IBEX 35-listed companies," Economics Letters, Elsevier, vol. 254(C).
  36. Kelvin J. L. Koa & Jan Chen & Yunshan Ma & Huanhuan Zheng & Tat-Seng Chua, 2025. "Reasoning on Time-Series for Financial Technical Analysis," Papers 2511.08616, arXiv.org, revised Mar 2026.
  37. Gaetan Caillaut & Raheel Qader & Jingshu Liu & Mariam Nakhl'e & Arezki Sadoune & Massinissa Ahmim & Jean-Gabriel Barthelemy, 2025. "The LLM Pro Finance Suite: Multilingual Large Language Models for Financial Applications," Papers 2511.08621, arXiv.org.
  38. Mostapha Benhenda, 2026. "Look-Ahead-Bench: a Standardized Benchmark of Look-ahead Bias in Point-in-Time LLMs for Finance," Papers 2601.13770, arXiv.org.
  39. Yuqi Nie & Yaxuan Kong & Xiaowen Dong & John M. Mulvey & H. Vincent Poor & Qingsong Wen & Stefan Zohren, 2024. "A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges," Papers 2406.11903, arXiv.org.
  40. Xiangang Cao & Xulong Wang & Luyang Shi & Xin Yang & Xinyuan Zhang & Yong Duan, 2025. "A Construction Method for a Coal Mining Equipment Maintenance Large Language Model Based on Multi-Dimensional Prompt Learning and Improved LoRA," Mathematics, MDPI, vol. 13(10), pages 1-21, May.
  41. Hongyang Yang & Xiao-Yang Liu & Christina Dan Wang, 2023. "FinGPT: Open-Source Financial Large Language Models," Papers 2306.06031, arXiv.org, revised Nov 2025.
  42. Meyer, Julian Anton, 2025. "Success factors and development areas for the implementation of Generative AI in companies," Junior Management Science (JUMS), Junior Management Science e. V., vol. 10(1), pages 1-23.
  43. Sharique Hasan & Alexander Oettl & Sampsa Samila, 2025. "From Model Design to Organizational Design: Complexity Redistribution and Trade-Offs in Generative AI," Papers 2506.22440, arXiv.org, revised May 2026.
  44. Eric Fischer & Rebecca McCaughrin & Saketh Prazad & Mark Vandergon, 2023. "Fed Transparency and Policy Expectation Errors: A Text Analysis Approach," Staff Reports 1081, Federal Reserve Bank of New York.
  45. Ivan Letteri, 2026. "AgenticAITA: A Proof-Of-Concept About Deliberative Multi-Agent Reasoning for Autonomous Trading Systems," Papers 2605.12532, arXiv.org.
  46. Ankur Sinha & Chaitanya Agarwal & Pekka Malo, 2025. "FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data," Papers 2502.18471, arXiv.org, revised Feb 2026.
  47. George Fatouros & Kostas Metaxas, 2026. "Signal or Noise in Multi-Agent LLM-based Stock Recommendations?," Papers 2604.17327, arXiv.org.
  48. Wentao Zhang & Mingxuan Zhao & Jincheng Gao & Jieshun You & Huaiyu Jia & Yilei Zhao & Bo An & Shuo Sun, 2026. "AlphaForgeBench: Benchmarking End-to-End Trading Strategy Design with Large Language Models," Papers 2602.18481, arXiv.org, revised May 2026.
  49. Yinheng Li & Shaofei Wang & Han Ding & Hang Chen, 2023. "Large Language Models in Finance: A Survey," Papers 2311.10723, arXiv.org, revised Jul 2024.
  50. Hoyoung Lee & Youngsoo Choi & Yuhee Kwon, 2024. "Quantifying Qualitative Insights: Leveraging LLMs to Market Predict," Papers 2411.08404, arXiv.org.
  51. Gupta, Abhijit, 2025. "Decoding Futures Price Dynamics: A Regularized Sparse Autoencoder for Interpretable Multi-Horizon Forecasting and Factor Discovery," OSF Preprints 4rzky_v1, Center for Open Science.
  52. Shengkun Wang & Taoran Ji & Linhan Wang & Yanshen Sun & Shang-Ching Liu & Amit Kumar & Chang-Tien Lu, 2024. "StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction," Papers 2409.08281, arXiv.org.
  53. Zhang, Liang & Chen, Zhelun, 2025. "Opportunities of applying Large Language Models in building energy sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 214(C).
  54. Seppälä, Timo & Mucha, Tomasz & Mattila, Juri, 2023. "Beyond AI, Blockchain Systems, and Digital Platforms: Digitalization Unlocks Mass Hyper-Personalization and Mass Servitization," ETLA Working Papers 106, The Research Institute of the Finnish Economy.
  55. Rui Sun & Li Zhao & Zuoyou Jiang & Bo Yang & Yuxiao Bai & Mengting Chen & Jing Li & Zuo Bai, 2025. "ContestTrade: A Multi-Agent Trading System Based on Internal Contest Mechanism," Papers 2508.00554, arXiv.org, revised Jul 2026.
  56. Masanori Hirano & Kentaro Imajo, 2024. "Construction of Domain-specified Japanese Large Language Model for Finance through Continual Pre-training," Papers 2404.10555, arXiv.org.
  57. Zefeng Chen & Darcy Pu, 2026. "Autonomous Market Intelligence: Agentic AI Nowcasting Predicts Stock Returns," Papers 2601.11958, arXiv.org.
  58. Mainak Singha, 2025. "Detecting AI Hallucinations in Finance: An Information-Theoretic Method Cuts Hallucination Rate by 92%," Papers 2512.03107, arXiv.org.
  59. Purificato Erasmo & Bili Danai & Jungnickel Robert & Ruiz Serra Victoria & Fabiani Josefina & Abendroth Dias Kulani & Fernandez Llorca David & Gomez Emilia, 2025. "The Role of Artificial Intelligence in Scientific Research," JRC Research Reports JRC143482, Joint Research Centre.
  60. Hai-Thien To & Tien-Cuong Bui & Van-Duc Le, 2024. "RAG-IT: Retrieval-Augmented Instruction Tuning for Automated Financial Analysis -- A Case Study for the Semiconductor Sector," Papers 2412.08179, arXiv.org, revised Dec 2025.
  61. Yuhan Cheng & Yanchu Liu & Heyang Zhou, 2026. "Large Language Models and Futures Price Factors in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 46(2), pages 262-282, February.
  62. Artur Kulpa & Grzegorz Wojarnik, 2025. "Prompt Engineering in Finance: An LLM-Based Multi-Agent Architecture for Decision Support," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 1201-1217.
  63. Baptiste Lefort & Eric Benhamou & Jean-Jacques Ohana & David Saltiel & Beatrice Guez, 2024. "Optimizing Performance: How Compact Models Match or Exceed GPT's Classification Capabilities through Fine-Tuning," Papers 2409.11408, arXiv.org.
  64. Zheng Li, 2026. "Design and Empirical Study of a Large Language Model-Based Multi-Agent Investment System for Chinese Public REITs," Papers 2602.00082, arXiv.org.
  65. Hui Gong, 2026. "AI Agents in Financial Markets: Architecture, Applications, and Systemic Implications," Papers 2603.13942, arXiv.org, revised Apr 2026.
  66. Claudia Biancotti & Carolina Camassa, 2023. "Loquacity and visible emotion: ChatGPT as a policy advisor," Questioni di Economia e Finanza (Occasional Papers) 814, Bank of Italy, Economic Research and International Relations Area.
  67. Maryam Farboodi & Andrew Koh & Anchi Xia, 2026. "Data-Driven Automation," Papers 2606.10127, arXiv.org.
  68. Haoqiang Kang & Xiao-Yang Liu, 2023. "Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination," Papers 2311.15548, arXiv.org.
  69. Zhongtian Sun & Chenghao Xiao & Anoushka Harit & Jongmin Yu, 2025. "Quantifying Semantic Shift in Financial NLP: Robust Metrics for Market Prediction Stability," Papers 2510.00205, arXiv.org.
  70. Mamalis, Marios & Kalampokis, Evangelos & Karamanou, Areti & Brimos, Petros & Tarabanis, Konstantinos, 2023. "Can Large Language Models Revolutionalize Open Government Data Portals? A Case of Using ChatGPT in statistics.gov.scot," OSF Preprints 9b35z, Center for Open Science.
  71. Mahesh Kumar & Bhaskarjit Sarmah & Stefano Pasquali, 2026. "FinReflectKG -- HalluBench: GraphRAG Hallucination Benchmark for Financial Question Answering Systems," Papers 2603.20252, arXiv.org.
  72. Issa Sugiura & Takashi Ishida & Taro Makino & Chieko Tazuke & Takanori Nakagawa & Kosuke Nakago & David Ha, 2025. "EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements," Papers 2506.08762, arXiv.org, revised Mar 2026.
  73. Jeong, Minhyuk & Ahn, Kwangwon, 2025. "Energy organization sentiment and oil return forecast," Energy Economics, Elsevier, vol. 141(C).
  74. Gu, Hanchi & Schreyer, Marco & Moffitt, Kevin & Vasarhelyi, Miklos, 2024. "Artificial intelligence co-piloted auditing," International Journal of Accounting Information Systems, Elsevier, vol. 54(C).
  75. Joohyoung Jeon & Hongchul Lee, 2026. "Can Blindfolded LLMs Still Trade? An Anonymization-First Framework for Portfolio Optimization," Papers 2603.17692, arXiv.org.
  76. Chen, Rui & Jiang, Haiqi & Guo, Tingyu & Fan, Chenyou, 2025. "Can Large Language Models forecast carbon price movements? Evidence from Chinese carbon markets," Research in International Business and Finance, Elsevier, vol. 77(PB).
  77. Jinrui Zhang, 2025. "Trading with the Devil: Risk and Return in Foundation Model Strategies," Papers 2510.17165, arXiv.org.
  78. Zuoyou Jiang & Li Zhao & Rui Sun & Ruohan Sun & Zhongjian Li & Jing Li & Daxin Jiang & Zuo Bai & Cheng Hua, 2025. "Alpha-R1: Alpha Screening with LLM Reasoning via Reinforcement Learning," Papers 2512.23515, arXiv.org.
  79. Bokai Cao & Saizhuo Wang & Xinyi Lin & Xiaojun Wu & Haohan Zhang & Lionel M. Ni & Jian Guo, 2025. "From Deep Learning to LLMs: A survey of AI in Quantitative Investment," Papers 2503.21422, arXiv.org.
  80. Jingru Jia & Zehua Yuan & Junhao Pan & Paul E. McNamara & Deming Chen, 2024. "Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context," Papers 2406.05972, arXiv.org, revised Nov 2024.
  81. Hang Fan & Shijie Ji & Peng Yuan & Qingsong Zhao & Shuaikang Wang & Xiaowei Tan & Yunjie Duan, 2025. "ELM-Bench: A Multidimensional Methodological Framework for Large Language Model Evaluation in Electricity Markets," Energies, MDPI, vol. 18(15), pages 1-23, July.
  82. Xia Li & Hanghang Zheng & Xiwei Zhuang & Zhong Wang & Xiao Chen & Hong Liu & Jasmine Bai & Mao Mao, 2025. "Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring," Papers 2501.10677, arXiv.org, revised Mar 2026.
  83. Thanos Konstantinidis & Giorgos Iacovides & Mingxue Xu & Tony G. Constantinides & Danilo Mandic, 2024. "FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications," Papers 2403.12285, arXiv.org.
  84. Yixuan Liang & Yuncong Liu & Neng Wang & Hongyang Yang & Boyu Zhang & Christina Dan Wang, 2024. "FinGPT: Enhancing Sentiment-Based Stock Movement Prediction with Dissemination-Aware and Context-Enriched LLMs," Papers 2412.10823, arXiv.org, revised Jun 2025.
  85. Lars Hornuf & David J. Streich & Niklas Töllich, 2025. "Making GenAI Smarter: Evidence from a Portfolio Allocation Experiment," CESifo Working Paper Series 11862, CESifo.
  86. Dat Mai, 2024. "StockGPT: A GenAI Model for Stock Prediction and Trading," Papers 2404.05101, arXiv.org, revised Oct 2024.
  87. Adria Pop & Jan Sporer, 2024. "The Structure of Financial Equity Research Reports -- Identification of the Most Frequently Asked Questions in Financial Analyst Reports to Automate Equity Research Using Llama 3 and GPT-4," Papers 2407.18327, arXiv.org, revised Jun 2025.
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