Report NEP-CMP-2026-07-13

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.

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Other reports in NEP-CMP

The following items were announced in this report:

• Tobias Lausser & Joao Eduardo Vuolo & Rudi Zagst, 2026, "Data-Driven Duration Management -- Term Structure Forecasting Using Machine Learning," Papers, arXiv.org, number 2606.26815, Jun.
• Antonella Basso & Marco Corazza & Lorenzo Tonon, 2026, "Recurrent Neural Networks for real estate evaluation in the Italian market," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2026: 22.
• Wayne Gao & Sukjin Han & Annie Liang, 2026, "How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge," Bristol Economics Discussion Papers, School of Economics, University of Bristol, UK, number 26/835, 01.
• Saeed Varasteh Yazdi, 2025, "Cascading Multi-Agent Policy Optimization for Demand Forecasting," Post-Print, HAL, number hal-05656779, Jul, DOI: 10.3390/cmsf2025011018.
• Lasse Dierich & Orestis Schinas, 2026, "Artificial Intelligence in Ship Finance: Applications, Opportunities, and a Case Study in AI-Augmented Loan Origination," Papers, arXiv.org, number 2606.11238, May, revised Jun 2026.
• Torben S. D. Johansen & Julius Koschnick & Christian Vedel, 2026, "How to deal with machine learning bias in economic history," Working Papers, European Historical Economics Society (EHES), number 0306, Jul.
• Sukjin Han, 2026, "Mining Causality: AI-Assisted Search for Instrumental Variables," Bristol Economics Discussion Papers, School of Economics, University of Bristol, UK, number 26/833, 01.
• Joel Persson & M{aa}rten Schultzberg & Sebastian Ankargren, 2026, "Statistical Foundations of LLM-based A/B Testing: A Surrogacy Framework for Human Causal Inference," Papers, arXiv.org, number 2606.17165, Jun, revised Jun 2026.
• Matthew Francis Dixon, 2026, "Model Validation of Agentic AI Systems: A POMDP-Based Framework for Belief-State, Forecast, and Policy Validation," Papers, arXiv.org, number 2606.17383, Jun.
• Karima Belmabrouk & Latifa Dekhici & Imad Eddine Khiloun & Christoph Bergmeir, 2025, "Heterogeneous Graph Neural Networks for Product Recommendation on Transactional Retail Data," Post-Print, HAL, number hal-05535428, Jul.
• Bergh, Andreas & Anzén Ekman, Christina & Moricz, Sara, 2026, "Place Marketing or Civic Information? Classifying Municipal Tweets using Machine Learning," Working Paper Series, Research Institute of Industrial Economics, number 1563, Jun.
• Miquel Noguer I Alonso & Rodolfo Pereira Franklin, 2026, "Pretrained Time-Series Foundation Models for Financial Return Forecasting," Papers, arXiv.org, number 2606.27100, Jun.