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Report NEP-CMP-2024-09-09
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:
- Achintya Gopal, 2024, "NeuralFactors: A Novel Factor Learning Approach to Generative Modeling of Equities," Papers, arXiv.org, number 2408.01499, Aug.
- Teng Ye & Jingnan Zheng & Junhui Jin & Jingyi Qiu & Wei Ai & Qiaozhu Mei, 2024, "Using Artificial Intelligence to Unlock Crowdfunding Success for Small Businesses," Papers, arXiv.org, number 2407.09480, Apr.
- Haowei Ni & Shuchen Meng & Xupeng Chen & Ziqing Zhao & Andi Chen & Panfeng Li & Shiyao Zhang & Qifu Yin & Yuanqing Wang & Yuxi Chan, 2024, "Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach," Papers, arXiv.org, number 2408.06634, Aug, revised Nov 2024.
- Gregory Yampolsky & Dhruv Desai & Mingshu Li & Stefano Pasquali & Dhagash Mehta, 2024, "Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals," Papers, arXiv.org, number 2408.06679, Aug.
- Wee Ling Tan & Stephen Roberts & Stefan Zohren, 2024, "Deep Learning for Options Trading: An End-To-End Approach," Papers, arXiv.org, number 2407.21791, Jul.
- Jian-Qiao Zhu & Joshua C. Peterson & Benjamin Enke & Thomas L. Griffiths, 2024, "Capturing the Complexity of Human Strategic Decision-Making with Machine Learning," Papers, arXiv.org, number 2408.07865, Aug.
- Andras Komaromi & Xiaomin Wu & Ran Pan & Yang Liu & Pablo Cisneros & Anchal Manocha & Hiba El Oirghi, 2024, "Enhancing IMF Economics Training: AI-Powered Analysis of Qualitative Learner Feedback," IMF Working Papers, International Monetary Fund, number 2024/166, Aug.
- Julian Ashwin & Paul Beaudry & Martin Ellison, 2024, "Neural Network Learning for Nonlinear Economies," NBER Working Papers, National Bureau of Economic Research, Inc, number 32807, Aug.
- Thiago Christiano Silva & Paulo Victor Berri Wilhelm & Diego Raphael Amancio, 2024, "Machine Learning and Economic Forecasting: the role of international trade networks," Working Papers Series, Central Bank of Brazil, Research Department, number 597, Aug.
- Hué, Sullivan & Hurlin, Christophe & Pérignon, Christophe & Saurin, Sébastien, 2022, "Explainable Performance," HEC Research Papers Series, HEC Paris, number 1463, Nov, DOI: 10.2139/ssrn.4280563.
- Jon Danielsson & Andreas Uthemann, 2024, "Artificial intelligence and financial crises," Papers, arXiv.org, number 2407.17048, Jul, revised Jul 2025.
- Bhaskarjit Sarmah & Benika Hall & Rohan Rao & Sunil Patel & Stefano Pasquali & Dhagash Mehta, 2024, "HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction," Papers, arXiv.org, number 2408.04948, Aug.
- Jianqing Fan & Weining Wang & Yue Zhao, 2024, "Conditional nonparametric variable screening by neural factor regression," CeMMAP working papers, Institute for Fiscal Studies, number 17/24, Aug, DOI: 10.47004/wp.cem.2024.1724.
- Brian Jabarian, 2024, "Large Language Models for Behavioral Economics: Internal Validity and Elicitation of Mental Models," Papers, arXiv.org, number 2407.12032, Jun.
- Yuheng Zheng & Zihan Ding, 2024, "Reinforcement Learning in High-frequency Market Making," Papers, arXiv.org, number 2407.21025, Jul, revised Aug 2024.
- Ugo Bolletta & Laurens Cherchye & Thomas Demuynck & Bram De Rock & Luca Paolo Merlino, 2024, "Identifying Marriage Markets," Working Papers ECARES, ULB -- Universite Libre de Bruxelles, number 2024-12, Jul.
- Sergiy Tkachuk & Szymon {L}ukasik & Anna Wr'oblewska, 2024, "Consumer Transactions Simulation through Generative Adversarial Networks," Papers, arXiv.org, number 2408.03655, Aug.
- Dawid, Herbert & Harting, Philipp & Hoog, Sander van der & Neugart, Michael, 2024, "Public Policy from the Bottom Up Using Agent-Based Modeling: The Eurace@Unibi Model," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 149219, Aug.
- Jaehyuk Choi & Lilian Hu & Yue Kuen Kwok, 2024, "Efficient and accurate simulation of the stochastic-alpha-beta-rho model," Papers, arXiv.org, number 2408.01898, Aug, revised Oct 2025.
- Margherita Borella & Francisco A. Bullano & Mariacristina De Nardi & Benjamin Krueger & Elena Manresa, 2024, "Health Inequality and Health Types," NBER Working Papers, National Bureau of Economic Research, Inc, number 32799, Aug.
- Klatt, Nikolina, 2024, "Judicial rulings and political narratives: Analyzing the impact of Roe v. Wade's overturning on digital discourse using machine learning," Discussion Papers, Research Unit: Transformations of Democracy, WZB Berlin Social Science Center, number SP V 2024-502.
- Norbert Pfeifer & Miriam Steurer, 2024, "Stabilizing Geo-Spatial Surfaces in Data-Sparse Regions - An Application to Residential Property Prices," Graz Economics Papers, University of Graz, Department of Economics, number 2024-11, Apr.