IDEAS home Printed from https://ideas.repec.org/r/arx/papers/2412.19245.html

Sentiment trading with large language models

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Khadivar, Hamed & Davis, Frederick & Khadivar, Ameneh & Stetsyuk, Ivan, 2026. "Predicting takeover rumor accuracy with machine learning," International Review of Economics & Finance, Elsevier, vol. 108(C).
  2. 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).
  3. Alejandro Lopez-Lira & Jihoon Kwon & Sangwoon Yoon & Jy-yong Sohn & Chanyeol Choi, 2025. "Bridging Language Models and Financial Analysis," Papers 2503.22693, arXiv.org, revised May 2026.
  4. Sui, Cong & Wang, Shuhan & Zheng, Wei, 2024. "Sentiment as a shipping market predictor: Testing market-specific language models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
  5. Haojie Liu & Zihan Lin & Randall R. Rojas, 2025. "Enhancing Trading Performance Through Sentiment Analysis with Large Language Models: Evidence from the S&P 500," Papers 2507.09739, arXiv.org.
  6. Jerick Shi & Burton Hollifield, 2025. "Market-Dependent Communication in Multi-Agent Alpha Generation," Papers 2511.13614, arXiv.org.
  7. Han Ding & Yinheng Li & Junhao Wang & Hang Chen & Doudou Guo & Yunbai Zhang, 2024. "Large Language Model Agent in Financial Trading: A Survey," Papers 2408.06361, arXiv.org, revised Mar 2026.
  8. Fang, Jiaqi & Su, Bixiang & Wang, Shuzhen & Wang, Bin, 2026. "Uncovering the risks of digital supply chains: A large language model framework for semantic identification and validation," International Journal of Production Economics, Elsevier, vol. 291(C).
  9. Zaka Ullah Saif* & Saira Gillani & Anila Gulzar Toor, 2026. "Statistical Accuracy Versus Trading Utility: A Multi-Horizon Evaluation of Generative-Ai-Augmented Deep Learning on the Kse-100 Index," International Journal of Innovations in Science & Technology, 50sea, vol. 8(3), pages 1253-1280, June.
  10. Julian Junyan Wang & Victor Xiaoqi Wang, 2025. "Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks," Papers 2503.16974, arXiv.org, revised Sep 2025.
  11. Perlin, Marcelo S. & Foguesatto, Cristian R. & Müller, Fernanda M. & Righi, Marcelo B., 2025. "Can AI beat a naive portfolio? An experiment with anonymized data," Finance Research Letters, Elsevier, vol. 78(C).
  12. Jaskaran Singh Walia & Aarush Sinha & Naman Saraswat & Srinitish Srinivasan & Srihari Unnikrishnan, 2025. "Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation," Papers 2502.17011, arXiv.org, revised Apr 2026.
  13. 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.
  14. Anne Lundgaard Hansen, 2026. "Validating Large Language Model Annotations," Finance and Economics Discussion Series 2026-020, Board of Governors of the Federal Reserve System (U.S.).
  15. Max Ahrens & Dragos Gorduza & Micheal McMahon, 2025. "EcoFinBench – a natural language processing benchmark for economics and finance," Bank of England Staff Working Paper series 1163, Bank of England.
  16. Pak, Tae-Young, 2026. "How individuals use generative AI for personal financial management," Journal of Behavioral and Experimental Finance, Elsevier, vol. 49(C).
  17. Kim, Do-Hyeon & Choi, Sun-Yong, 2026. "Sentiment, fan engagement, and sponsor stock performance: Evidence from alternative data," Finance Research Letters, Elsevier, vol. 105(C).
  18. Kemal Kirtac & Guido Germano, 2025. "Large language models in finance : what is financial sentiment?," Papers 2503.03612, arXiv.org, revised Mar 2025.
  19. Magner, Nicolás & Henríquez, Pablo A. & Sanhueza, Aliro, 2025. "Decoding risk sentiment in 10-K filings: Predictability for U.S. stock indices," Finance Research Letters, Elsevier, vol. 81(C).
  20. Hanyong Cho & Geumil Bae & Jang Ho Kim, 2026. "Investor risk profiles of large language models," Papers 2603.09303, arXiv.org, revised May 2026.
  21. Wood, Katherine & Pyun, Chaehyun & Pham, Hieu, 2025. "Beyond Green Labels: Assessing Mutual Funds’ ESG Commitments through Large Language Models," Finance Research Letters, Elsevier, vol. 74(C).
  22. Olamilekan Shobayo & Sidikat Adeyemi-Longe & Olusogo Popoola & Bayode Ogunleye, 2024. "Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A Data-Driven Approach," Papers 2412.06837, arXiv.org.
  23. Weixian Waylon Li & Hyeonjun Kim & Mihai Cucuringu & Tiejun Ma, 2025. "Can LLM-based Financial Investing Strategies Outperform the Market in Long Run?," Papers 2505.07078, arXiv.org, revised Jun 2026.
  24. Fan, Siyu & Wu, Yifei & Yang, Ruochen, 2025. "Measuring firm-level supply chain risk using a generative large language model," Finance Research Letters, Elsevier, vol. 77(C).
  25. 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).
  26. Duan, Mingli, 2025. "The signaling effect of tone: The influence of key audit matters’ tone on bank lending decisions," Finance Research Letters, Elsevier, vol. 76(C).
  27. Alireza Kargarzadeh & Nariman Khaledian & Navid Parvini & Arman Khaledian, 2026. "Large Language Model-Driven Small-Capitalization Trading: Integrating Financial News Sentiment, Macroeconomic Indicators, and Technical Signals," Papers 2608.12283, arXiv.org, revised Sep 2026.
  28. Dat Mai, 2024. "StockGPT: A GenAI Model for Stock Prediction and Trading," Papers 2404.05101, arXiv.org, revised Oct 2024.
  29. Jiang, Jiaqi & Zhang, Zhipeng & Cheng, Gongpin, 2024. "Corporate violations, traditional media and stock returns: Evidence from Chinese listed companies," Finance Research Letters, Elsevier, vol. 69(PA).
  30. Grobys, Klaus & Näsman, Sebastian & Sandretto, Davide, 2026. "Using on-chain data to predict Bitcoin cycles," Research in International Business and Finance, Elsevier, vol. 89(C).
  31. José Guadalupe Mendoza-Macías & Román Alejandro Mendoza-Urdiales, 2024. "Por qué el índice de sentimiento neto debería ser una prioridad: un estudio de caso de la industria bancaria," The Anahuac Journal, Business and Economics School. Anahuac University (Mexico)., vol. 24(1), pages 272-293, June.
  32. Yoonsun Jeong & Sergio Grove & Eduardo D. Villacis-Calderon, 2026. "Bridging the gap: addressing measurement bias and integrating lexicons to generative AI," Marketing Letters, Springer, vol. 37(1), pages 1-23, December.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.