Report NEP-CMP-2024-04-15

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:

• Njiru, Ruth & Appel, Franziska & Dong, Changxing & Balmann, Alfons, 2024. "Application of Deep Learning to Emulate an Agent-Based Model," FORLand Project Publications 340874, University of Natural Resources and Applied Life Sciences, Vienna, Department of Economics and Social Sciences.
• Junyi Ye & Bhaskar Goswami & Jingyi Gu & Ajim Uddin & Guiling Wang, 2024. "From Factor Models to Deep Learning: Machine Learning in Reshaping Empirical Asset Pricing," Papers 2403.06779, arXiv.org.
• Yuxiang Sun & Jingyi Li & Mengdie Lu & Zongying Guo, 2024. "Study of the Impact of the Big Data Era on Accounting and Auditing," Papers 2403.07180, arXiv.org.
• Mueller, H. & Rauh, C. & Seimon, B., 2024. "Introducing a Global Dataset on Conflict Forecasts and News Topics," Cambridge Working Papers in Economics 2404, Faculty of Economics, University of Cambridge.
• Tsendsuren Batsuuri & Shan He & Ruofei Hu & Jonathan Leslie & Flora Lutz, 2024. "Predicting IMF-Supported Programs: A Machine Learning Approach," IMF Working Papers 2024/054, International Monetary Fund.
• Xinyi Wang & Qing Zhao & Lang Tong, 2024. "Probabilistic Forecasting of Real-Time Electricity Market Signals via Interpretable Generative AI," Papers 2403.05743, arXiv.org, revised Sep 2024.
• Berg, Gerard J. van den & Kunaschk, Max & Lang, Julia & Stephan, Gesine & Uhlendorff, Arne, 2024. "Predicting Re-Employment: Machine Learning Versus Assessments by Unemployed Workers and by Their Caseworkers," IAB-Discussion Paper 202403, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
• Matteo Rizzato & Julien Wallart & Christophe Geissler & Nicolas Morizet & Noureddine Boumlaik, 2023. "Generative Adversarial Networks Applied to Synthetic Financial Scenarios Generation [Data Latent space]," Post-Print hal-03716692, HAL.
• Severin Reissl & Luca E. Fierro & Francesco Lamperti & Andrea Roventini, 2024. "The DSK-SFC stock-flow consistent agent-based integrated assessment model," LEM Papers Series 2024/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Koresh Galil & Ami Hauptman & Rosit Levy Rosenboim, 2023. "Prediction of Corporate Credit Ratings with Machine Learning: Simple Interpretative Models," Working Papers 2308, Ben-Gurion University of the Negev, Department of Economics.
• Buczak, Philip & Horn, Daniel & Pauly, Markus, 2024. "Old but Gold or New and Shiny? Comparing Tree Ensembles for Ordinal Prediction with a Classic Parametric Approach," OSF Preprints v7bcf, Center for Open Science.
• João A. Bastos & Maria Inês Bernardes, 2024. "Understanding online purchases with explainable machine learning," Working Papers REM 2024/0313, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Hainaut, Donatien & Casas, Alex, 2024. "Option pricing in the Heston model with Physics inspired neural networks," LIDAM Discussion Papers ISBA 2024002, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
• Gianluca Pallante & Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2024. "Robust-less-fragile: Tackling Systemic Risk and Financial Contagion in a Macro Agent-Based Model," LEM Papers Series 2024/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
• Pinski, Marc & Benlian, Alexander, 2024. "AI literacy for users – A comprehensive review and future research directions of learning methods, components, and effects," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 143748, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Brendan J. Chapuis & John Coglianese, 2024. "Measuring Unemployment Risk," FEDS Notes 2024-03-08-1, Board of Governors of the Federal Reserve System (U.S.).
• Valerio Capraro & Roberto Di Paolo & Matjaz Perc & Veronica Pizziol, 2024. "Language-based game theory in the age of artificial intelligence," Papers 2403.08944, arXiv.org.
• Charles Hoffreumon & Chris CM Forman & Nicolas van Zeebroeck, 2024. "Make or buy your artificial intelligence? Complementarities in technology sourcing," ULB Institutional Repository 2013/369623, ULB -- Universite Libre de Bruxelles.