Report NEP-CMP-2024-04-29

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.

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Other reports in NEP-CMP

The following items were announced in this report:

• Zhiyuan Yao & Zheng Li & Matthew Thomas & Ionut Florescu, 2024. "Reinforcement Learning in Agent-Based Market Simulation: Unveiling Realistic Stylized Facts and Behavior," Papers 2403.19781, arXiv.org.
• Ardyn Nordstrom & Morgan Nordstrom & Matthew D. Webb, 2024. "Using Images as Covariates: Measuring Curb Appeal with Deep Learning," Papers 2403.19915, arXiv.org.
• Qishuo Cheng, 2024. "Intelligent Optimization of Mine Environmental Damage Assessment and Repair Strategies Based on Deep Learning," Papers 2404.01624, arXiv.org.
• Florian Krach & Josef Teichmann & Hanna Wutte, 2024. "Robust Utility Optimization via a GAN Approach," Papers 2403.15243, arXiv.org.
• Joshua S. Gans, 2024. "Market Power in Artificial Intelligence," NBER Working Papers 32270, National Bureau of Economic Research, Inc.
• Muriel, Juan E. & Zhang, Lele & Fransoo, Jan C. & Villegas, Juan G., 2024. "A reinforcement learning framework for improving parking decisions in last-mile delivery," Other publications TiSEM b3811dad-50fa-486b-8255-3, Tilburg University, School of Economics and Management.
• Holtemöller, Oliver & Kozyrev, Boris, 2024. "Forecasting economic activity using a neural network in uncertain times: Monte Carlo evidence and application to the German GDP," IWH Discussion Papers 6/2024, Halle Institute for Economic Research (IWH).
• Taejin Park, 2024. "Enhancing Anomaly Detection in Financial Markets with an LLM-based Multi-Agent Framework," Papers 2403.19735, arXiv.org.
• S'ebastien Bossu & St'ephane Cr'epey & Hoang-Dung Nguyen, 2024. "Spanning Multi-Asset Payoffs With ReLUs," Papers 2403.14231, arXiv.org, revised Dec 2024.
• Boming Ning & Kiseop Lee, 2024. "Advanced Statistical Arbitrage with Reinforcement Learning," Papers 2403.12180, arXiv.org.
• Divyanshu Daiya & Monika Yadav & Harshit Singh Rao, 2024. "DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion Models," Papers 2403.14063, arXiv.org.
• Mariarosaria Comunale & Andrea Manera, 2024. "The Economic Impacts and the Regulation of AI: A Review of the Academic Literature and Policy Actions," IMF Working Papers 2024/065, International Monetary Fund.
• Benjamin Bittschi & Thomas Horvath & Helmut Mahringer & Christine Mayrhuber & Martin Spielauer & Philipp Warum, 2024. "Assessing the Labour Supply Effect of Harmonising Regular Retirement Age in Austria," WIFO Working Papers 673, WIFO.
• Kaushalya Kularatnam & Tania Stathaki, 2024. "Detecting and Triaging Spoofing using Temporal Convolutional Networks," Papers 2403.13429, arXiv.org.
• Dai, Yongsheng & Wang, Hui & Rafferty, Karen & Spence, Ivor & Quinn, Barry, 2024. "TDSRL: Time Series Dual Self-Supervised Representation Learning for Anomaly Detection from Different Perspectives," QBS Working Paper Series 2024/03, Queen's University Belfast, Queen's Business School.
• Jonathan F. Cogliano and Roberto Veneziani, 2024. "Classical Competition and Equilibrium: An Agent-Based Analysis," Working Papers 2024-01, University of Massachusetts Boston, Economics Department.
• Thomas Horvath & Martin Spielauer & Philipp Warum, 2024. "Life Course Heterogeneity and the Future Labour Force – a Dynamic Microsimulation Analysis for Austria," WIFO Working Papers 674, WIFO.