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. Stan 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 2511.12120, arXiv.org.
- Daniel Moulton & Larry Santucci & Robyn Smith, 2025. "Combining AI and Established Methods for Historical Document Analysis," Consumer Finance Institute discussion papers 25-02, Federal Reserve Bank of Philadelphia.
- Julian Lütticke & Lukas Lautenschlaeger & Wolfgang Schäfers, 2025. "Forecasting U.S. REIT Returns: Leveraging GenAI-Extracted Sentiment," ERES eres2025_242, European Real Estate Society (ERES).
- 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 2511.15456, arXiv.org.
- Emmanuel Lwele & Sabuni Emmanuel & Sitali Gabriel Sitali, 2025. "Risk-Aware Deep Reinforcement Learning for Dynamic Portfolio Optimization," Papers 2511.11481, arXiv.org.
- Iñaki Aldasoro & Ajit Desai, 2025. "AI agents for cash management in payment systems," BIS Working Papers 1310, Bank for International Settlements.
- Luca Corazzini & Elisa Deriu & Marco Guerzoni, 2025. "Decision and Gender Biases in Large Language Models: A Behavioral Economic Perspective," Papers 2511.12319, arXiv.org.
- 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 v4eq6_v1, Center for Open Science.
- Jianfei Cao & Michael P. Leung, 2025. "Neighborhood Stability in Double/Debiased Machine Learning with Dependent Data," Papers 2511.10995, arXiv.org.
- Hongyang Yang & Xiao-Yang Liu & Qingwei Wu, 2025. "A Practical Machine Learning Approach for Dynamic Stock Recommendation," Papers 2511.12129, arXiv.org.
- 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 2511.12876, arXiv.org, revised Dec 2025.
- Priyanka Verma & Balagopal Unnikrishnan, 2025. "When AI Democratizes Exploitation: LLM-Assisted Strategic Manipulation of Fair Division Algorithms," Papers 2511.14722, arXiv.org.
- Sofiia Dolgikh & Bodan Potanin, 2025. "Double machine learning for causal inference in a multivariate sample selection model," Papers 2511.12640, arXiv.org.
- Ghulam Mustafa & Muhammad Hamza Amjad, 2025. "Transforming Real Estate in Pakistan through Blockchain: An Agent-Based Simulations Study," PIDE-Working Papers 2025:12, Pakistan Institute of Development Economics.
- Paul C. Behler & Laurenz Guenther, 2025. "From Weimar to Today: Mapping Populism Across German Parliaments," ECONtribute Discussion Papers Series 381, University of Bonn and University of Cologne, Germany.
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