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Report NEP-CMP-2026-04-27
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:
- Haibin Jiao, 2026, "The CTLNet for Shanghai Composite Index Prediction," Papers, arXiv.org, number 2604.16835, Apr.
- Maxime Saxena & Marco Pangallo & Cars Hommes & Fabio Caccioli & R. Maria del Rio-Chanona, 2026, "Machine Spirits: Speculation and Adaptation of LLM Agents in Asset Markets," Papers, arXiv.org, number 2604.18602, Apr, revised Apr 2026.
- Dirk Bergemann & Soheil Ghili & Xinyang Hu & Chuanhao Li & Zhuoran Yang, 2026, "Training Language Models for Bilateral Trade with Private Information," Papers, arXiv.org, number 2604.16472, Apr.
- Kevin Michael Frick, 2026, "Convergence to collusion in algorithmic pricing," Papers, arXiv.org, number 2604.15825, Apr.
- Shumiao Ouyang & Pengfei Sui, 2026, "Dissecting AI Trading: Behavioral Finance and Market Bubbles," Papers, arXiv.org, number 2604.18373, Apr.
- Shuhuai Zhang & Shu Wang & Zijun Yao & Chuanhao Li & Xiaozhi Wang & Songfa Zhong & Tracy Xiao Liu, 2026, "Understanding the Mechanism of Altruism in Large Language Models," Papers, arXiv.org, number 2604.19260, Apr.
- Polachek, Solomon & Romano, Kenneth & Tonguc, Ozlem, 2026, "Strategic Reasoning and Sensitivity to Stakes in the Dictator and Ultimatum Games: LLMs vs. Human Proposers," IZA Discussion Papers, IZA Network @ LISER, number 18545, Apr.
- Nattavudh Powdthavee, 2026, "Large Language Models Outperform Humans in Fraud Detection and Resistance to Motivated Investor Pressure," Papers, arXiv.org, number 2604.20652, Apr, revised Apr 2026.
- Bhagyeshkumar Chokhawala & Atif Farid Mohammad, 2026, "PlanningEFEMix: Hybrid Active Inference for Sequential Decision-Making under Uncertainty," RAIS Conference Proceedings 2022-2026, Research Association for Interdisciplinary Studies, number 0646, Mar.
- Donggyu Lee & Hyeok Yun & Jungwon Kim & Junsik Min & Sungwon Park & Sangyoon Park & Jihee Kim, 2026, "Ideological Bias in LLMs' Economic Causal Reasoning," Papers, arXiv.org, number 2604.21334, Apr.
- Spyros Galanis, 2026, "Information Aggregation with AI Agents," Papers, arXiv.org, number 2604.20050, Apr, revised May 2026.
- Sotirios D. Nikolopoulos, 2026, "Spurious Predictability in Financial Machine Learning," Papers, arXiv.org, number 2604.15531, Apr.
- Ziming Lin & Fang Han, 2026, "Bootstrap consistency for general double/debiased machine learning estimators," Papers, arXiv.org, number 2604.17239, Apr.
- Napiontek, Jakob & Pichler, Peter-Paul, 2026, "SynPop-DE: Synthetic population of 40 million German households using generative neural networks," SocArXiv, Center for Open Science, number zha8v_v1, Apr, DOI: 10.31219/osf.io/zha8v_v1.
- Ramón Talvi Robledo & Christopher Rauh & Ben Seimon & Hannes Mueller & Laura Mayoral, 2026, "Forecasting Forced Displacement Flows Using Machine Learning with Text Data," Working Papers, Barcelona School of Economics, number 1573, Apr.
- Yikuan Huang & Zheqi Fan & Kaiqi Hu & Yifan Ye, 2026, "Cross-Stock Predictability via LLM-Augmented Semantic Networks," Papers, arXiv.org, number 2604.19476, Apr, revised Apr 2026.
- Alok Yadav & Saroj Yadav, 2026, "Stochastic Networked Governance: Bridging Econophysics and Institutional Dynamics in a Positive-Sum Agent-Based Model," Papers, arXiv.org, number 2604.19968, Apr.
- George Fatouros & Kostas Metaxas, 2026, "Signal or Noise in Multi-Agent LLM-based Stock Recommendations?," Papers, arXiv.org, number 2604.17327, Apr.
- Ethan Ratliff-Crain & Colin M. Van Oort & Matthew T. K. Koehler & Brian F. Tivnan, 2026, "Testing replication for an agent-based model of market fragmentation and latency arbitrage," Papers, arXiv.org, number 2604.20067, Apr.
- Antoine Didisheim & Bryan T. Kelly & Mohammad Pourmohammadi & Hanqing Tian, 2026, "The Inefficient Pricing of News," NBER Working Papers, National Bureau of Economic Research, Inc, number 35093, Apr.
- Andrew Y. Chen, 2026, "Hedging the Singularity," Papers, arXiv.org, number 2604.16997, Apr.