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Report NEP-CMP-2026-06-08
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:
- Ferrari Minesso, Massimo & Frenzel, Carla, 2026, "Sequential solution for DSGE models with deep neural networks," Working Paper Series, European Central Bank, number 3236, May.
- Wang Qunyong, 2025, "Causal inference in machine learning and Stata application," Chinese Stata Conference 2025, Stata Users Group, number 04, Jul.
- Kostiantyn Okhrimenko, 2026, "Painting Price: A Machine Learning Approach to Art Valuation. Proof of Concept and Market Structure Diagnosis," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2026-18.
- Ajayi, David, 2026, "Large Language Models for Statistical Analysis: Can they Replace Domain-Specific Software Packages?," MetaArXiv, Center for Open Science, number zj5pc_v1, May, DOI: 10.31219/osf.io/zj5pc_v1.
- Labastidas, Esteban, 2026, "A Hybrid Early-Warning System for Inflation in an Emerging Market: Combining Econometric Models, an Agent-Based Decomposition with Heterogeneous Expectations, a Large Language Model, and a Multi-Output Agent Architecture," MPRA Paper, University Library of Munich, Germany, number 128779, Apr.
- Omar Abdel Haq & Amitabh Chandra & Tomáš Jagelka & Erzo F.P. Luttmer & Joshua Schwartzstein, 2026, "Revealing Life Preferences Through LLMs," ECONtribute Discussion Papers Series, University of Bonn and University of Cologne, Germany, number 410, May.
- Robert D. Lieberthal & Richard Tran & Vietbao Phan & Jawand Singh & Elizabeth Sottung, 2026, "Leveraging LLMs for Unstructured Claims Data Analysis," Papers, arXiv.org, number 2606.06089, Jun.
- Rylan Wade, 2026, "Do Better Volatility Forecasts Lead to Better Portfolios? Evidence from Graph Neural Networks," Papers, arXiv.org, number 2605.19278, May, revised May 2026.
- Bertomeu, Jeremy & Cheynel, Edwige & Lunawat, Radhika & Milone, Mario, 2026, "On humans and AI: A financial reporting dilemma," MPRA Paper, University Library of Munich, Germany, number 128775, Apr.
- Talita Greyling & Rangan Gupta & Christian Pierdzioch, 2026, "Supply Bottlenecks and Sentiment in Europe: Some Evidence using Machine Learning," Working Papers, University of Pretoria, Department of Economics, number 202616, May.
- Tanisa Tawichsri & Suppawong Tuarob & Nuwat Nookhwun & Chinjuta Sangasaeng, 2026, "News-Based Inflation Expectations: LLM-Assisted Measurement and Forecasting," PIER Discussion Papers, Puey Ungphakorn Institute for Economic Research, number 252, May, revised Jul 2026.
- Miquel Noguer I Alonso, 2026, "Derivative-Informed Operator Learning for Finance: On-the-Fly Greeks, Surfaces, Hedging, and Control," Papers, arXiv.org, number 2606.05900, Jun.
- Daniel Coll Sol & Mario Cuenda Garcia & Bathusi Gabanatlhong & Miroslav Palansky & Tijmen Tuinsma, 2026, "Estimating the Scale of Illicit Financial Flows: The Abnormality Method," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2026/08, May, revised May 2026.
- Dmitry Dagaev & Egor Ivanov & Petr Parshakov & Alexey Savvateev & Gleb Vasiliev, 2026, "Not Yet: Humans Outperform LLMs in a Colonel Blotto Tournament," Working Papers, New Economic School (NES), number w0295, May.
- Aykut Sengul & Levent Cinko, 2026, "Monetary Tightening and Corporate Default Risk: Evidence from Floating-Rate Debt Exposure," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 2610.
- Gilbert Mbara, 2026, "Hedging Auction Volatility with Gap Call Options," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2026-20.