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Report NEP-CMP-2026-02-16
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:
- M.Jahangir Alam & Shane Boyle & Huiyu Li & Tatevik Sekhposyan, 2026, "ChatMacro: Evaluating Inflation Forecasts of Generative AI," Working Paper Series, Federal Reserve Bank of San Francisco, number 2026-04, Feb, DOI: 10.24148/wp2026-04.
- Zheng Li, 2026, "Design and Empirical Study of a Large Language Model-Based Multi-Agent Investment System for Chinese Public REITs," Papers, arXiv.org, number 2602.00082, Jan.
- Felipe A. Csaszar & Aticus Peterson & Daniel Wilde, 2026, "The Strategic Foresight of LLMs: Evidence from a Fully Prospective Venture Tournament," Papers, arXiv.org, number 2602.01684, Feb.
- Brandon Yee & Krishna Sharma, 2026, "Calibrating Behavioral Parameters with Large Language Models," Papers, arXiv.org, number 2602.01022, Feb.
- Keywan Christian Rasekhschaffe, 2026, "Generative AI for Stock Selection," Papers, arXiv.org, number 2602.00196, Jan.
- Oskar V{aa}le & Shiliang Zhang & Sabita Maharjan & Gro Kl{ae}boe, 2026, "Exploring the Interpretability of Forecasting Models for Energy Balancing Market," Papers, arXiv.org, number 2602.00049, Jan.
- Eurydice Fotopoulou & Iyke Maduako & M. Belen Sbrancia & Prachi Srivastava, 2026, "Nowcasting Economic Growth with Machine Learning and Satellite Data," IMF Working Papers, International Monetary Fund, number 2026/020, Jan.
- Walid Siala & Ahmed Khanfir & Mike Papadakis, 2026, "Impact of LLMs news Sentiment Analysis on Stock Price Movement Prediction," Papers, arXiv.org, number 2602.00086, Jan, revised Mar 2026.
- Yuanhong Wu & Wei Ye & Jingyan Xu & D. Frank Hsu, 2026, "Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis," Papers, arXiv.org, number 2602.00037, Jan, revised Mar 2026.
- Federico Cacciamani & Roberto Daluiso & Marco Pinciroli & Michele Trapletti & Edoardo Vittori, 2026, "Time-Inhomogeneous Volatility Aversion for Financial Applications of Reinforcement Learning," Papers, arXiv.org, number 2602.12030, Feb.
- Item repec:idb:brikps:14489 is not listed on IDEAS anymore
- Alexander Sheppert, 2026, "The GT-Score: A Robust Objective Function for Reducing Overfitting in Data-Driven Trading Strategies," Papers, arXiv.org, number 2602.00080, Jan.
- Simon Deakin & Linda Shuku, 2026, "Exploring Computational Approaches to Law: The Evolution of Judicial Language in the Anglo-Welsh Poor Law, 1691-1834," Working Papers, Centre for Business Research, University of Cambridge, number wp546, Feb.
- Kevin Mojica, 2025, "Sesgo de datos en aplicaciones de aprendizaje automático: un estudio de caso de un modelo no supervisado para identificar el riesgo de corrupción en la contratación pública colombiana," Documentos de trabajo, Escuela de Gobierno - Universidad de los Andes, number 022180, Mar.
- Kilic, Talip & Letta, Marco & Montalbano, Pierluigi & Petruccelli, Federica, 2026, "CLARE : A Causal machine Learning Approach to Resilience Estimation," Policy Research Working Paper Series, The World Bank, number 11292, Jan.
- Joshua S. Gans, 2026, "Optimal Use of Preferences in Artificial Intelligence Algorithms," NBER Working Papers, National Bureau of Economic Research, Inc, number 34780, Jan.
- Neetu Garg & A. S. V. Ravi Kanth, 2026, "Numerical Simulations for Time-Fractional Black-Scholes Equations," Papers, arXiv.org, number 2602.00201, Jan.
- Kaicheng Chen & Harold D. Chiang, 2026, "Cross-Fitting-Free Debiased Machine Learning with Multiway Dependence," Papers, arXiv.org, number 2602.11333, Feb, revised Apr 2026.
- Jan Ditzen & Erkal Ersoy & Haoyang Li & Francesco Ravazzolo, 2026, "Forecasting Oil Consumption: The Statistical Review of World Energy Meets Machine Learning," Papers, arXiv.org, number 2602.01963, Feb.
- Avi Arora & Ritesh Malpani, 2026, "PredictionMarketBench: A SWE-bench-Style Framework for Backtesting Trading Agents on Prediction Markets," Papers, arXiv.org, number 2602.00133, Jan.