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Report NEP-CMP-2026-01-19
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:
- Uluc Aysun & Melanie Guldi, 2026, "Revisiting exchange rate predictability: Can machine learning with theoretical filtering outperform canonical models?," Working Papers, University of Central Florida, Department of Economics, number 2026-01, Jan.
- Gang Li & Dandan Qiao & Mingxuan Zheng, 2025, "Structured Event Representation and Stock Return Predictability," Papers, arXiv.org, number 2512.19484, Dec.
- Siddhartha Chib & Fei Tan, 2025, "Learning the Macroeconomic Language," Papers, arXiv.org, number 2512.21031, Dec, revised Dec 2025.
- Yucheng Yang & Chiyuan Wang & Andreas Schaab & Benjamin Moll, 2025, "Structural Reinforcement Learning for Heterogeneous Agent Macroeconomics," Papers, arXiv.org, number 2512.18892, Dec.
- Ludovic Goudenège & Andrea Molent & Antonino Zanette, 2025, "Computing XVA for American basket derivatives by machine learning techniques," Post-Print, HAL, number hal-05421581, Aug, DOI: 10.1007/s10287-025-00540-7.
- Quintana Pablo & Herrera-Gomez Marcos, 2025, "Redefining Regions in Space and Time: A Deep Learning Method for Spatio-Temporal Clustering," Asociación Argentina de Economía Política: Working Papers, Asociación Argentina de Economía Política, number 4831, Dec.
- Christopher Regan & Ying Xie, 2025, "Inferring Latent Market Forces: Evaluating LLM Detection of Gamma Exposure Patterns via Obfuscation Testing," Papers, arXiv.org, number 2512.17923, Dec, revised Dec 2025.
- Zare, Hassan & Mousavi, Ebrahim, 2025, "A Novel Deep Learning Framework for Economic Video Analysis and Tactical Insight Extraction," MPRA Paper, University Library of Munich, Germany, number 127062, Mar.
- Niclas Griesshaber & Jochen Streb, 2025, "Multimodal LLMs for Historical Dataset Construction from Archival Image Scans: German Patents (1877-1918)," Papers, arXiv.org, number 2512.19675, Dec.
- Travon Lucius & Christian Koch Jr & Jacob Starling & Julia Zhu & Miguel Urena & Carrie Hu, 2025, "Deep Hedging with Reinforcement Learning: A Practical Framework for Option Risk Management," Papers, arXiv.org, number 2512.12420, Dec.
- Ali Merali, 2025, "Scaling Laws for Economic Productivity: Experimental Evidence in LLM-Assisted Consulting, Data Analyst, and Management Tasks," Papers, arXiv.org, number 2512.21316, Dec.
- Jian Xue & Qian Zhang & Wu Zhu, 2025, "Generative AI for Analysts," Papers, arXiv.org, number 2512.19705, Dec.
- Foltas, Alexander, 2025, "Inefficient forecast narratives: A BERT-based approach," HWWI Working Paper Series, Hamburg Institute of International Economics (HWWI), number 6/2025.
- Agust'in Garc'ia-Garc'ia & Pablo Hidalgo & Julio E. Sandubete, 2025, "Explainable Artificial Intelligence for Economic Time Series: A Comprehensive Review and a Systematic Taxonomy of Methods and Concepts," Papers, arXiv.org, number 2512.12506, Dec.
- Hanyu Li & Xiaotie Deng, 2025, "Will AI Trade? A Computational Inversion of the No-Trade Theorem," Papers, arXiv.org, number 2512.17952, Dec.
- Carolin Hasse & Stefan Irnich, 2025, "Branch-Price-and-Cut for the Vehicle Routing Problem With Simultaneous Delivery and Pickup, Time Windows, and Load-Dependent Cost," Working Papers, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, number 2509, Nov.
- Enoch Hyunwook Kang, 2025, "LLM Personas as a Substitute for Field Experiments in Method Benchmarking," Papers, arXiv.org, number 2512.21080, Dec, revised Jan 2026.