Report NEP-CMP-2024-05-13

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:

• Dat Mai, 2024. "StockGPT: A GenAI Model for Stock Prediction and Trading," Papers 2404.05101, arXiv.org, revised Oct 2024.
• Sara Fish & Yannai A. Gonczarowski & Ran I. Shorrer, 2024. "Algorithmic Collusion by Large Language Models," Papers 2404.00806, arXiv.org, revised Nov 2024.
• Sendhil Mullainathan & Ashesh Rambachan, 2024. "From Predictive Algorithms to Automatic Generation of Anomalies," Papers 2404.10111, arXiv.org.
• Yupeng Cao & Zhi Chen & Qingyun Pei & Fabrizio Dimino & Lorenzo Ausiello & Prashant Kumar & K. P. Subbalakshmi & Papa Momar Ndiaye, 2024. "RiskLabs: Predicting Financial Risk Using Large Language Model Based on Multi-Sources Data," Papers 2404.07452, arXiv.org.
• Van Pham & Scott Cunningham, 2024. "Can Base ChatGPT be Used for Forecasting without Additional Optimization?," Papers 2404.07396, arXiv.org, revised Jul 2024.
• Kirtac, Kemal & Germano, Guido, 2024. "Sentiment trading with large language models," LSE Research Online Documents on Economics 122592, London School of Economics and Political Science, LSE Library.
• Kapil Panda, 2023. "Artificial Intelligence-based Analysis of Change in Public Finance between US and International Markets," Papers 2403.18823, arXiv.org.
• Armand Mihai Cismaru, 2024. "DeepTraderX: Challenging Conventional Trading Strategies with Deep Learning in Multi-Threaded Market Simulations," Papers 2403.18831, arXiv.org.
• Andre Guettler & Mahvish Naeem & Lars Norden & Bernardus F Nazar Van Doornik, 2024. "Pre-publication revisions of bank financial statements: a novel way to monitor banks?," BIS Working Papers 1177, Bank for International Settlements.
• Artem Kraevskiy & Artem Prokhorov & Evgeniy Sokolovskiy, 2024. "Early warning systems for financial markets of emerging economies," Papers 2404.03319, arXiv.org.
• Giambattista Albora & Matteo Straccamore & Andrea Zaccaria, 2024. "Machine learning-based similarity measure to forecast M&A from patent data," Papers 2404.07179, arXiv.org.
• Bardoscia, Marco & Carro, Adrian & Hinterschweiger, Marc & Napoletano, Mauro & Popoyan, Lilit & Roventini, Andrea & Uluc, Arzu, 2024. "The impact of prudential regulations on the UK housing market and economy: insights from an agent-based model," Bank of England working papers 1066, Bank of England.
• Iñaki Aldasoro & Sebastian Doerr & Leonardo Gambacorta & Daniel Rees, 2024. "The impact of artificial intelligence on output and inflation," BIS Working Papers 1179, Bank for International Settlements.
• Nouhaila Innan & Alberto Marchisio & Mohamed Bennai & Muhammad Shafique, 2024. "QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection," Papers 2404.02595, arXiv.org, revised Dec 2024.
• Thorsten Hens & Trine Nordlie, 2024. "How good are LLMs in risk profiling?," KIER Working Papers 1103, Kyoto University, Institute of Economic Research.
• Knoth, Nils & Decker, Marie & Laupichler, Matthias Carl & Pinski, Marc & Buchholtz, Nils & Bata, Katharina & Schultz, Ben, 2024. "Developing a Holistic AI Literacy Assessment Matrix - Bridging Generic, Domain-Specific, and Ethical Competencies," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 144414, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Irene Aldridge, 2024. "Fast TTC Computation," Papers 2403.15111, arXiv.org.
• Siting Estee Lu, 2024. "Strategic Interactions between Large Language Models-based Agents in Beauty Contests," Papers 2404.08492, arXiv.org, revised Oct 2024.
• Scott Wentland & Gary Cornwall & Jeremy G. Moulton, 2023. "For What It's Worth: Measuring Land Value in the Era of Big Data and Machine Learning," BEA Papers 0115, Bureau of Economic Analysis.
• Lorenc Kapllani & Long Teng, 2024. "A backward differential deep learning-based algorithm for solving high-dimensional nonlinear backward stochastic differential equations," Papers 2404.08456, arXiv.org.
• Buda Baji'c & Sr{dj}an Mili'cevi'c & Aleksandar Anti'c & Slobodan Markovi'c & Nemanja Tomi'c, 2024. "Neural Network Modeling for Forecasting Tourism Demand in Stopi\'{c}a Cave: A Serbian Cave Tourism Study," Papers 2404.04974, arXiv.org.
• Paola Tubaro, 2024. "Algorithms, inequalities, and the 'humans-in-the-loop' [Algorithmes, inégalités, et les « humains dans la boucle »]," Post-Print hal-04533266, HAL.