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Report NEP-CMP-2026-06-15
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:
- Soria, Chris, 2026, "Model Diversity Over Model Size: Unanimous LLM Ensembles Correct Over-Classification in Survey Coding," SocArXiv, Center for Open Science, number er6mz_v1, Jun, DOI: 10.31219/osf.io/er6mz_v1.
- Taojie Zhu & Wentao Zhao & Rui Sun & Beidi Luan & Jiacheng Lu & Sinuo Wang & Jing Li & Daxin Jiang & Yonghong He & Zuo Bai, 2026, "From Knowing to Doing: A Memory-Controlled Benchmark for LLM Trading Agents on Stock Markets," Papers, arXiv.org, number 2605.28359, May.
- Soria, Chris, 2026, "High Agreement, Different Stories: How LLM Classifiers Reshape Demographic Patterns in Survey Data," SocArXiv, Center for Open Science, number 85kyd_v1, Jun, DOI: 10.31219/osf.io/85kyd_v1.
- Nicolas Langren'e & Xiaolin Luo & Pavel V. Shevchenko & Ruiyi Zhang, 2026, "Deep Least Squares Monte Carlo methods for the valuation of variable annuities with guarantees," Papers, arXiv.org, number 2605.27182, May.
- Ajay Kumar Verma & Nunik Srikandi Putri & Neo Paul Lesupi, 2026, "Regime-Based Portfolio Allocation Using Hidden Markov Models and Reinforcement Learning," Papers, arXiv.org, number 2605.27848, May.
- Weicheng Xue, 2026, "Representation Signatures and Risk-Feedback Alignment in LLM Trading Agents," Papers, arXiv.org, number 2605.28850, May, revised May 2026.
- Wenbin Wu, 2026, "Auditing Asset-Specific Preferences in Financial Large Language Models: Evidence from Bitcoin Representations and Portfolio Allocation," Papers, arXiv.org, number 2606.02528, Jun, revised Jul 2026.
- Rahul Fernandes & Travis Desell, 2026, "Financially Guided Deep Portfolio Optimization," Papers, arXiv.org, number 2605.28853, May.
- Zhenshan Chen & Klaus Moeltner & Matthew Mair, 2026, "Recovering Direct Price Effects of Environmental Amenities in Housing Markets: Regression and Causal Machine Learning Model Assessment with Empirical Monte Carlo Simulation," Papers, arXiv.org, number 2606.02795, Jun.
- Lianyan Fu & Rui Wang & Zihan Zhang, 2026, "Graph Neural Networks for Generalized Mundlak Estimator under Network Confounding," Papers, arXiv.org, number 2605.29238, May.
- Ran Spiegler & Stephan Waizmann, 2026, "Cross-Validation Equilibrium," Papers, arXiv.org, number 2606.12571, Jun.
- Ansgar Hudde & Shannon Taflinger, 2026, "A Golden Era for Open-Ended Questions? Using LLMs for Text Classification Tasks," ECONtribute Discussion Papers Series, University of Bonn and University of Cologne, Germany, number 416, Jun.
- Chen Zhu & Xiaolu Wang & Weilong Zhang, 2026, "(Human) Attention Is (Still) All You Need: Human oversight makes AI-assisted social science reliable," Papers, arXiv.org, number 2606.12848, Jun.
- Ajay Kumar Verma & Jul Jon Ramirez General & Yvan Landry Ndzonde Fonkou, 2026, "Deep Learning Forecasting of the U.S. Aggregate Bond Index," Papers, arXiv.org, number 2605.27977, May.
- Victor Duarte & Julia Fonseca, 2026, "AI for Structural Estimation," NBER Working Papers, National Bureau of Economic Research, Inc, number 35283, May.