Report NEP-CMP-2023-08-14

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:

• Sohum Thakkar & Skander Kazdaghli & Natansh Mathur & Iordanis Kerenidis & Andr'e J. Ferreira-Martins & Samurai Brito, 2023. "Improved Financial Forecasting via Quantum Machine Learning," Papers 2306.12965, arXiv.org, revised Apr 2024.
• Alexandre Aspremont & Simon Ben Arous & Jean-Charles Bricongne & Benjamin Lietti & Baptiste Meunier, 2023. "Satellites Turn “Concrete”: Tracking Cement with Satellite Data and Neural Networks," Working papers 916, Banque de France.
• Ariel Neufeld & Julian Sester, 2023. "Neural networks can detect model-free static arbitrage strategies," Papers 2306.16422, arXiv.org, revised Aug 2024.
• Menzie D. Chinn & Baptiste Meunier & Sebastian Stumpner, 2023. "Nowcasting World Trade with Machine Learning: a Three-Step Approach," NBER Working Papers 31419, National Bureau of Economic Research, Inc.
• Georgios Palaiokrassas & Sandro Scherrers & Iason Ofeidis & Leandros Tassiulas, 2023. "Leveraging Machine Learning for Multichain DeFi Fraud Detection," Papers 2306.07972, arXiv.org.
• Yue Tian & Guanjun Liu, 2023. "Transaction Fraud Detection via Spatial-Temporal-Aware Graph Transformer," Papers 2307.05121, arXiv.org.
• Leib, Margarita & Köbis, Nils & Rilke, Rainer Michael & Hagens, Marloes & Irlenbusch, Bernd, 2023. "Corrupted by Algorithms? How AI-Generated and Human-Written Advice Shape (Dis)Honesty," IZA Discussion Papers 16293, Institute of Labor Economics (IZA).
• Kunz, Pascal Christoph & Jussupow, Ekaterina & Spohrer, Kai & Heinzl, Armin, 2022. "How the Application of Machine Learning Systems Changes Business Processes: A multiple Case Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138573, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Yannick Limmer & Blanka Horvath, 2023. "Robust Hedging GANs," Papers 2307.02310, arXiv.org.
• Zhenhan Huang & Fumihide Tanaka, 2023. "A Scalable Reinforcement Learning-based System Using On-Chain Data for Cryptocurrency Portfolio Management," Papers 2307.01599, arXiv.org.
• Harsh Parikh & Marco Morucci & Vittorio Orlandi & Sudeepa Roy & Cynthia Rudin & Alexander Volfovsky, 2023. "A Double Machine Learning Approach to Combining Experimental and Observational Data," Papers 2307.01449, arXiv.org, revised Apr 2024.
• Christian Yeo, 2023. "An analysis of least squares regression and neural networks approximation for the pricing of swing options," Papers 2307.04510, arXiv.org.
• Christophe Carugati, 2023. "Competition in generative artificial intelligence foundation models," Bruegel Working Papers node_9258, Bruegel.
• Stefan Faldum & Timo Gschwind & Stefan Irnich, 2023. "Subset-Row Inequalities and Unreachability in Path-based Formulations for Routing and Scheduling Problems," Working Papers 2310, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
• Nikhil Agarwal & Alex Moehring & Pranav Rajpurkar & Tobias Salz, 2023. "Combining Human Expertise with Artificial Intelligence: Experimental Evidence from Radiology," NBER Working Papers 31422, National Bureau of Economic Research, Inc.
• Gaël Le Mens & Balász Kovács & Michael T. Hannan & Guillem Pros, 2023. "Uncovering the Semantics of Concepts Using GPT-4 and Other Recent Large Language Models," Working Papers 1394, Barcelona School of Economics.
• Jeanette Schmidt & Christian Tilk & Stefan Irnich, 2023. "Exact Solution of the Vehicle Routing Problem With Drones," Working Papers 2311, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
• Wójcik-Czerniawska, Agnieszka, 2022. "The role of Artificial Intelligence (AI) in agriculture and its impact on economy," Agri-Tech Economics Papers 337138, Harper Adams University, Land, Farm & Agribusiness Management Department.
• Wójcik-Czerniawska, Agnieszka, 2022. "The role of Artificial Intelligence (AI) in agriculture and its impact on economy," Land, Farm & Agribusiness Management Department 337138, Harper Adams University, Land, Farm & Agribusiness Management Department.
• Gabriel Osório de Barros, 2023. "Forging AI Pathways: Portugal's Journey within the EU Digital Landscape," GEE Papers 177, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jul 2023.
• Miguel Faria-e-Castro & Fernando Leibovici, 2023. "Artificial Intelligence and Inflation Forecasts," Working Papers 2023-015, Federal Reserve Bank of St. Louis, revised 26 Feb 2024.
• Damián Pierri, 2023. "Simulations in Models with Heterogeneous Agents, Incomplete Markets and Aggregate Uncertainty," Working Papers 259, Red Nacional de Investigadores en Economía (RedNIE).