Report NEP-CMP-2026-05-18

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:

• Anand, Kartik & Leonello, Agnese & Panetti, Ettore & Kazinnik, Sophia, 2026, "Ex Machina: financial stability in the age of artificial intelligence," Working Paper Series, European Central Bank, number 3225, May.
• Omar Abdel Haq & Amitabh Chandra & Tomáš Jagelka & Erzo F.P. Luttmer & Joshua Schwartzstein, 2026, "Revealing Life Preferences Through LLMs," RFBerlin Discussion Paper Series, ROCKWOOL Foundation Berlin (RFBerlin), number 26134, May.
• Jinfeng Pan & Jiahao Chen, 2026, "SBCA: Cross-Modal BERT-driven Actor-Critic for Multi-Asset Portfolio Optimization," Papers, arXiv.org, number 2605.01384, May.
• Rohan & Siddanth Shetty & Amit N. Kumar, 2026, "American Options Pricing under Heston Model via Curriculum Learning in Coupled PINNs," Papers, arXiv.org, number 2605.06688, May.
• Jiayu Yi & Minxuan Hu & Wenxi Sun & Ziheng Chen, 2026, "ESG as Priced Crash Insurance: State-Dependent Tail Risk and Deconfounding Evidence," Papers, arXiv.org, number 2605.04479, May.
• Ivan Letteri, 2026, "AgenticAITA: A Proof-Of-Concept About Deliberative Multi-Agent Reasoning for Autonomous Trading Systems," Papers, arXiv.org, number 2605.12532, May.
• Leyva, Maikel & Batista, Noel & Smarandache, Florentin, 2026, "LLM + Neutrosophic fsQCA: Inter-Narrative Causal Consistency and Paraconsistent Detection in Media Accounts of Urban Violence in Guayaquil," SocArXiv, Center for Open Science, number yxdsb_v1, May, DOI: 10.31219/osf.io/yxdsb_v1.
• Philip Moreira Tomei & Bouke Klein Teeselink, 2026, "What Jobs Can AI Learn? Measuring Exposure by Reinforcement Learning," Papers, arXiv.org, number 2605.02598, May.
• Gandharv Patil & Keyi Tang & Raquel Aoki & Leo Guelman, 2026, "Causal EpiNets: Precision-corrected Bounds on Individual Treatment Effects using Epistemic Neural Networks," Papers, arXiv.org, number 2605.07065, May.
• Simon Scheidegger, 2026, "Deep Learning for Solving and Estimating Dynamic Models in Economics and Finance," Papers, arXiv.org, number 2605.14493, May.
• Rafa{l} Rak, 2026, "Visibility graphs can make money in financial markets," Papers, arXiv.org, number 2605.01300, May.
• Irene Aldridge, 2026, "Fast Monte-Carlo," Papers, arXiv.org, number 2605.02085, May.
• James Lennox & Janine Dixon, 2026, "Occupations, Tasks and Generative AI: A Computable General Equilibrium Analysis," Centre of Policy Studies/IMPACT Centre Working Papers, Victoria University, Centre of Policy Studies/IMPACT Centre, number g-367, May.