Report NEP-CMP-2025-12-08

This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stan 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:

• Nicolas Baradel, 2025. "Constrained deep learning for pricing and hedging european options in incomplete markets," Papers 2511.20837, arXiv.org.
• Tan, Fuli & Wang, Jingjing & De Steur, Hans & Fan, Shenggen, 2024. "Unveiling the predictive factors influencing consumers purchase intention towards biofortified products: A PLS-SEM model with agent-based simulation," 2024 Annual Meeting, July 28-30, New Orleans, LA 344020, Agricultural and Applied Economics Association.
• Zhao, Jing & Cochrane, Mark & Zhang, Xin & Elmore, Andrew & Lee, Janice & Su, Ye, 2024. "Evolution of Spatial Drivers for Oil Palm Expansion over Time: Insights from Spatiotemporal Data and Machine Learning Models," 2024 Annual Meeting, July 28-30, New Orleans, LA 344016, Agricultural and Applied Economics Association.
• David Autor & Andrew Caplin & Daniel J. Martin & Philip Marx, 2025. "Misaligned by Design: Incentive Failures in Machine Learning," NBER Working Papers 34504, National Bureau of Economic Research, Inc.
• Fermat Leukam & Rock Stephane Koffi & Prudence Djagba, 2025. "Reinforcement Learning for Portfolio Optimization with a Financial Goal and Defined Time Horizons," Papers 2511.18076, arXiv.org.
• Thomas R. Cook & Sophia Kazinnik & Zach Modig & Nathan M. Palmer, 2025. "What Do LLMs Want?," Research Working Paper RWP 25-19, Federal Reserve Bank of Kansas City.
• Zazueta, Jorge, 2025. "SINDy meets Schelling. Transforming Agent-Based model spatial outputs into Dynamical Systems," SocArXiv dr857_v1, Center for Open Science.
• Aravantinos, Elias & Varoutas, Dimitris, 2025. "Clustering Emerging Economies by Broadband Diffusion Trajectories," 33rd European Regional ITS Conference, Edinburgh, 2025: Digital innovation and transformation in uncertain times 331250, International Telecommunications Society (ITS).
• Cecchetti, Stephen G. & Lumsdaine, Robin L. & Peltonen, Tuomas & Sánchez Serrano, Antonio, 2025. "Artificial intelligence and systemic risk," Report of the Advisory Scientific Committee 16, European Systemic Risk Board.
• Ciftci, Muhsin & Wieland, Elisabeth, 2025. "Underlying inflation measures for Germany," Technical Papers 04/2025, Deutsche Bundesbank.
• Li, Jia PhD & Qi, Yanlin & Zhang, Michael PhD, 2025. "Machine Learning Can Reveal Effectiveness of Traffic Safety Countermeasures," Institute of Transportation Studies, Working Paper Series qt0x26t67j, Institute of Transportation Studies, UC Davis.
• Giuseppe Matera, 2025. "Corporate Earnings Calls and Analyst Beliefs," Papers 2511.15214, arXiv.org, revised Nov 2025.