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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. 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:
- Zhiyuan Yao & Zheng Li & Matthew Thomas & Ionut Florescu, 2024, "Reinforcement Learning in Agent-Based Market Simulation: Unveiling Realistic Stylized Facts and Behavior," Papers, arXiv.org, number 2403.19781, Mar.
- Ardyn Nordstrom & Morgan Nordstrom & Matthew D. Webb, 2024, "Using Images as Covariates: Measuring Curb Appeal with Deep Learning," Papers, arXiv.org, number 2403.19915, Mar.
- Qishuo Cheng, 2024, "Intelligent Optimization of Mine Environmental Damage Assessment and Repair Strategies Based on Deep Learning," Papers, arXiv.org, number 2404.01624, Apr.
- Florian Krach & Josef Teichmann & Hanna Wutte, 2024, "Robust Utility Optimization via a GAN Approach," Papers, arXiv.org, number 2403.15243, Mar, revised Sep 2025.
- Joshua S. Gans, 2024, "Market Power in Artificial Intelligence," NBER Working Papers, National Bureau of Economic Research, Inc, number 32270, Mar.
- 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, Tilburg University, School of Economics and Management, number b3811dad-50fa-486b-8255-3.
- 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, Halle Institute for Economic Research (IWH), number 6/2024.
- Taejin Park, 2024, "Enhancing Anomaly Detection in Financial Markets with an LLM-based Multi-Agent Framework," Papers, arXiv.org, number 2403.19735, Mar.
- S'ebastien Bossu & St'ephane Cr'epey & Hoang-Dung Nguyen, 2024, "Spanning Multi-Asset Payoffs With ReLUs," Papers, arXiv.org, number 2403.14231, Mar, revised Dec 2024.
- Boming Ning & Kiseop Lee, 2024, "Advanced Statistical Arbitrage with Reinforcement Learning," Papers, arXiv.org, number 2403.12180, Mar.
- Divyanshu Daiya & Monika Yadav & Harshit Singh Rao, 2024, "DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion Models," Papers, arXiv.org, number 2403.14063, Mar.
- 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, International Monetary Fund, number 2024/065, Mar.
- 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, WIFO, number 673, Mar.
- Kaushalya Kularatnam & Tania Stathaki, 2024, "Detecting and Triaging Spoofing using Temporal Convolutional Networks," Papers, arXiv.org, number 2403.13429, Mar.
- 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, Queen's University Belfast, Queen's Business School, number 2024/03.
- Jonathan F. Cogliano and Roberto Veneziani, 2024, "Classical Competition and Equilibrium: An Agent-Based Analysis," Working Papers, University of Massachusetts Boston, Economics Department, number 2024-01, Apr.
- Thomas Horvath & Martin Spielauer & Philipp Warum, 2024, "Life Course Heterogeneity and the Future Labour Force – a Dynamic Microsimulation Analysis for Austria," WIFO Working Papers, WIFO, number 674, Apr.