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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. 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:
- Nicolas Baradel, 2025, "Constrained deep learning for pricing and hedging european options in incomplete markets," Papers, arXiv.org, number 2511.20837, Nov.
- 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, Agricultural and Applied Economics Association, number 344020, DOI: 10.22004/ag.econ.344020.
- 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, Agricultural and Applied Economics Association, number 344016, DOI: 10.22004/ag.econ.344016.
- David Autor & Andrew Caplin & Daniel J. Martin & Philip Marx, 2025, "Misaligned by Design: Incentive Failures in Machine Learning," NBER Working Papers, National Bureau of Economic Research, Inc, number 34504, Nov.
- Fermat Leukam & Rock Stephane Koffi & Prudence Djagba, 2025, "Reinforcement Learning for Portfolio Optimization with a Financial Goal and Defined Time Horizons," Papers, arXiv.org, number 2511.18076, Nov.
- Thomas R. Cook & Sophia Kazinnik & Zach Modig & Nathan M. Palmer, 2025, "What Do LLMs Want?," Research Working Paper, Federal Reserve Bank of Kansas City, number RWP 25-19, Nov, DOI: 10.18651/RWP2025-19.
- Zazueta, Jorge, 2025, "SINDy meets Schelling. Transforming Agent-Based model spatial outputs into Dynamical Systems," SocArXiv, Center for Open Science, number dr857_v1, Nov, DOI: 10.31219/osf.io/dr857_v1.
- 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, International Telecommunications Society (ITS), number 331250.
- Cecchetti, Stephen G. & Lumsdaine, Robin L. & Peltonen, Tuomas & Sánchez Serrano, Antonio, 2025, "Artificial intelligence and systemic risk," Report of the Advisory Scientific Committee, European Systemic Risk Board, number 16, Dec.
- Ciftci, Muhsin & Wieland, Elisabeth, 2025, "Underlying inflation measures for Germany," Technical Papers, Deutsche Bundesbank, number 04/2025.
- 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, Institute of Transportation Studies, UC Davis, number qt0x26t67j, Aug.
- Giuseppe Matera, 2025, "Corporate Earnings Calls and Analyst Beliefs," Papers, arXiv.org, number 2511.15214, Nov, revised Nov 2025.