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Report NEP-CMP-2025-11-17
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:
- Andrea Macr`i & Sebastian Jaimungal & Fabrizio Lillo, 2025, "Deep reinforcement learning for optimal trading with partial information," Papers, arXiv.org, number 2511.00190, Oct.
- Lampe, Max & Adalid, Ramón, 2025, "A machine learning approach to real time identification of turning points in monetary aggregates M1 and M3," Working Paper Series, European Central Bank, number 3148, Nov.
- Nikolas Anic & Andrea Barbon & Ralf Seiz & Carlo Zarattini, 2025, "ChatGPT in Systematic Investing - Enhancing Risk-Adjusted Returns with LLMs," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 25-94, Oct.
- Haofei Yu & Fenghai Li & Jiaxuan You, 2025, "LiveTradeBench: Seeking Real-World Alpha with Large Language Models," Papers, arXiv.org, number 2511.03628, Nov.
- Felipe Valencia-Clavijo, 2025, "Anchors in the Machine: Behavioral and Attributional Evidence of Anchoring Bias in LLMs," Papers, arXiv.org, number 2511.05766, Nov.
- John Armstrong & Cristin Buescu & James Dalby & Rohan Hobbs, 2025, "Machine-learning a family of solutions to an optimal pension investment problem," Papers, arXiv.org, number 2511.07045, Nov.
- Singhal, Mohit, 2025, "Predicting Opioid Cost Burden through Integrated PBM and SDOH Modeling: An Explainable AI Framework," SocArXiv, Center for Open Science, number c7rvx_v1, Oct, DOI: 10.31219/osf.io/c7rvx_v1.
- Panagiotis G. Papaioannou & Athanassios N. Yannacopoulos, 2025, "The Shape of Markets: Machine learning modeling and Prediction Using 2-Manifold Geometries," Papers, arXiv.org, number 2511.05030, Nov, revised Jan 2026.
- SofÃa Balladares & Esteban GarcÃa-Miralles, 2025, "Fiscal drag with microsimulation:Evidence from Spanish tax records," Working Papers, Institut d'Economia de Barcelona (IEB), number 2025/08.
- Jian'an Zhang, 2025, "A Risk-Neutral Neural Operator for Arbitrage-Free SPX-VIX Term Structures," Papers, arXiv.org, number 2511.06451, Nov.
- Bryan T. Kelly & Semyon Malamud, 2025, "Understanding The Virtue of Complexity," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 25-96, Jul.
- Ding, Liangping & Lawson, Cornelia & Shapira, Philip, 2025, "Tracking AI’s Scientific Anatomy: A Novel Framework for Analyzing the Use and Diffusion of AI in Science," SocArXiv, Center for Open Science, number 7ed2b_v1, Nov, DOI: 10.31219/osf.io/7ed2b_v1.
- Mahdi Goldani, 2025, "Daily Forecasting for Annual Time Series Datasets Using Similarity-Based Machine Learning Methods: A Case Study in the Energy Market," Papers, arXiv.org, number 2511.05556, Nov.
- Erhan Bayraktar & Qi Feng & Zecheng Zhang & Zhaoyu Zhang, 2025, "Deep Neural Operator Learning for Probabilistic Models," Papers, arXiv.org, number 2511.07235, Nov.
- Cansu Isler, 2025, "Words Matter: Forecasting Economic Downside Risks with Corporate Textual Data," Papers, arXiv.org, number 2511.04935, Nov.