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Report NEP-CMP-2025-11-24
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:
- Gabriel M. Arantes & Richard F. Pinto & Bruno L. Dalmazo & Eduardo N. Borges & Giancarlo Lucca & Viviane L. D. de Mattos & Fabian C. Cardoso & Rafael A. Berri, 2025, "Machine Learning vs. Randomness: Challenges in Predicting Binary Options Movements," Papers, arXiv.org, number 2511.15960, Nov.
- Jan Schmid & He Cheng, 2025, "A Random Forest Meta-Learning Approach for Optimal AI Algorithm Selection in Real Estate Market Prediction," ERES, European Real Estate Society (ERES), number eres2025_40, Jan.
- Yusuke Takahashi & Kazuki Otaka & Naoya Kato, 2025, "Potential Applications of Generative AI in Economic Simulations," Bank of Japan Research Laboratory Series, Bank of Japan, number 25-E-1, Nov.
- Stanislav Selitskiy, 2025, ""It Looks All the Same to Me": Cross-index Training for Long-term Financial Series Prediction," Papers, arXiv.org, number 2511.08658, Nov.
- Marlon Azinovic-Yang & Jan Zemlicka, 2025, "Deep Learning in the Sequence Space," CERGE-EI Working Papers, The Center for Economic Research and Graduate Education - Economics Institute, Prague, number wp802, Oct.
- Elliot Beck & Franziska Eckert & Linus Kuhne & Helge Liebert & Rina Rosenblatt-Wisch, 2025, "Measuring economic outlook in the news," Papers, arXiv.org, number 2511.04299, Nov, revised Dec 2025.
- Matthias Soot & Sabine Horvath & Danielle Warstat & Hans-Berndt Neuner & Alexandra Weitkamp, 2025, "Model selection for inhomogeneous real estate market data in Germany," ERES, European Real Estate Society (ERES), number eres2025_245, Jan.
- Sotiris & Tsolacos & Tatiana Franus, 2025, "Directional Forecasts for Yields Using Econometric Models and Machine Learning Methods," ERES, European Real Estate Society (ERES), number eres2025_269, Jan.
- Filippo Gusella & Eugenio Vicario, 2025, "Generative Agents and Expectations: Do LLMs Align with Heterogeneous Agent Models?," Papers, arXiv.org, number 2511.08604, Nov.
- David Autor & Andrew Caplin & Daniel Martin & Philip Marx, 2025, "Misaligned by Design: Incentive Failures in Machine Learning," Papers, arXiv.org, number 2511.07699, Nov.
- Vikram Aggarwal & Jay Kulkarni & Aakriti Narang & Aditi Mascarenhas & Siddarth Raman & Ajay Shah & Susan Thomas, 2025, "Information Extraction from Fiscal Documents using LLMs," Working Papers, xKDR, number 43, Nov.
- Krishna Neupane & Igor Griva, 2025, "An extreme Gradient Boosting (XGBoost) Trees approach to Detect and Identify Unlawful Insider Trading (UIT) Transactions," Papers, arXiv.org, number 2511.08306, Nov.
- Qi Feng & Guang Lin & Purav Matlia & Denny Serdarevic, 2025, "Data-driven Feynman-Kac Discovery with Applications to Prediction and Data Generation," Papers, arXiv.org, number 2511.08606, Nov.
- Sina Kazemian & Ghazal Farhani & Amirhessam Yazdi, 2025, "An uncertainty-aware physics-informed neural network solution for the Black-Scholes equation: a novel framework for option pricing," Papers, arXiv.org, number 2511.05519, Oct.
- Dennis Thumm & Luis Ontaneda Mijares, 2025, "Towards Causal Market Simulators," Papers, arXiv.org, number 2511.04469, Nov, revised Jan 2026.
- Athina Karvounaraki & Alexis Stevenson & Isabelle Labrosse & David Campbell & Henrik Karlstrøm & Eric Iversen & Lili Wang & Ad Notten, 2025, "The Use of Generative Artificial Intelligence in Research," EU research and innovation paper series, Directorate General for Research and Innovation (DG RTD) of the European Commission, number KI-01-25-084-EN-N, Jun, DOI: 10.2777/1024414.