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Report NEP-CMP-2025-12-01
This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stanley Miles issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-CMP
The following items were announced in this report:
- Hongyang Yang & Xiao-Yang Liu & Shan Zhong & Anwar Walid, 2025, "Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy," Papers, arXiv.org, number 2511.12120, Nov.
- Daniel Moulton & Larry Santucci & Robyn Smith, 2025, "Combining AI and Established Methods for Historical Document Analysis," Consumer Finance Institute discussion papers, Federal Reserve Bank of Philadelphia, number 25-02, Oct, DOI: 10.21799/frbp.dp.2025.02.
- Julian Lütticke & Lukas Lautenschlaeger & Wolfgang Schäfers, 2025, "Forecasting U.S. REIT Returns: Leveraging GenAI-Extracted Sentiment," ERES, European Real Estate Society (ERES), number eres2025_242, Jan.
- Qian'ang Mao & Yuxuan Zhang & Jiaman Chen & Wenjun Zhou & Jiaqi Yan, 2025, "Know Your Intent: An Autonomous Multi-Perspective LLM Agent Framework for DeFi User Transaction Intent Mining," Papers, arXiv.org, number 2511.15456, Nov.
- Emmanuel Lwele & Sabuni Emmanuel & Sitali Gabriel Sitali, 2025, "Risk-Aware Deep Reinforcement Learning for Dynamic Portfolio Optimization," Papers, arXiv.org, number 2511.11481, Nov.
- Iñaki Aldasoro & Ajit Desai, 2025, "AI agents for cash management in payment systems," BIS Working Papers, Bank for International Settlements, number 1310, Nov.
- Luca Corazzini & Elisa Deriu & Marco Guerzoni, 2025, "Decision and Gender Biases in Large Language Models: A Behavioral Economic Perspective," Papers, arXiv.org, number 2511.12319, Nov.
- Fang, Qixiang & Garcia-Bernardo, Javier & van Kesteren, Erik-Jan, 2025, "Using Large Language Models for Text Annotation in Social Science and Humanities: A Hands-On Python/R Tutorial," SocArXiv, Center for Open Science, number v4eq6_v1, Nov, DOI: 10.31219/osf.io/v4eq6_v1.
- Jianfei Cao & Michael P. Leung, 2025, "Neighborhood Stability in Double/Debiased Machine Learning with Dependent Data," Papers, arXiv.org, number 2511.10995, Nov.
- Hongyang Yang & Xiao-Yang Liu & Qingwei Wu, 2025, "A Practical Machine Learning Approach for Dynamic Stock Recommendation," Papers, arXiv.org, number 2511.12129, Nov.
- Heyang Ma & Qirui Mi & Qipeng Yang & Zijun Fan & Bo Li & Haifeng Zhang, 2025, "Think, Speak, Decide: Language-Augmented Multi-Agent Reinforcement Learning for Economic Decision-Making," Papers, arXiv.org, number 2511.12876, Nov, revised Dec 2025.
- Priyanka Verma & Balagopal Unnikrishnan, 2025, "When AI Democratizes Exploitation: LLM-Assisted Strategic Manipulation of Fair Division Algorithms," Papers, arXiv.org, number 2511.14722, Nov.
- Sofiia Dolgikh & Bodan Potanin, 2025, "Double machine learning for causal inference in a multivariate sample selection model," Papers, arXiv.org, number 2511.12640, Nov.
- Ghulam Mustafa & Muhammad Hamza Amjad, 2025, "Transforming Real Estate in Pakistan through Blockchain: An Agent-Based Simulations Study," PIDE-Working Papers, Pakistan Institute of Development Economics, number 2025:12.
- Paul C. Behler & Laurenz Guenther, 2025, "From Weimar to Today: Mapping Populism Across German Parliaments," ECONtribute Discussion Papers Series, University of Bonn and University of Cologne, Germany, number 381, Nov.