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Report NEP-CMP-2024-01-15
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:
- Maochun Xu & Zixun Lan & Zheng Tao & Jiawei Du & Zongao Ye, 2023, "Deep Reinforcement Learning for Quantitative Trading," Papers, arXiv.org, number 2312.15730, Dec.
- Diana Barro & Luca Barzanti & Marco Corazza & Martina Nardon, 2023, "Machine Learning and Fundraising: Applications of Artificial Neural Networks," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2023: 33.
- Ramaharo, Franck Maminirina & Rasolofomanana, Gerzhino H, 2023, "Nowcasting Madagascar's real GDP using machine learning algorithms," AfricArxiv, Center for Open Science, number vpuac, Dec, DOI: 10.31219/osf.io/vpuac.
- Richiardi, Matteo & van de Ven, Justin, 2023, "Back to the future: agent-based modelling and dynamic microsimulation," Centre for Microsimulation and Policy Analysis Working Paper Series, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research, number CEMPA8/23, Dec.
- Jacques Bughin, 2023, "Looking beyond ChatGPT: Why AI Reinforcement Learning is set for Prime Time," Working Papers TIMES², ULB -- Universite Libre de Bruxelles, number 2023-061, Dec.
- Luca Gaegauf & Simon Scheidegger & Fabio Trojani, 2023, "A Comprehensive Machine Learning Framework for Dynamic Portfolio Choice With Transaction Costs," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-114, Nov.
- HRADEC Jiri & OSTLAENDER Nicole & BERNINI Alba, 2023, "FABLES: Framework for Autonomous Behaviour-rich Language-driven Emotion-enabled Synthetic populations," JRC Research Reports, Joint Research Centre, number JRC135070, Oct.
- Wladimir Ostrovsky, 2023, "Dealer Strategies in Agent-Based Models," Papers, arXiv.org, number 2312.05943, Dec.
- Neil Kichler & Sher Afghan & Uwe Naumann, 2023, "Towards Sobolev Pruning," Papers, arXiv.org, number 2312.03510, Dec, revised Dec 2023.
- Stefano Bianchini & Moritz Muller & Pierre Pelletier, 2023, "Drivers and Barriers of AI Adoption and Use in Scientific Research," Papers, arXiv.org, number 2312.09843, Dec, revised Feb 2024.
- Yan Leng & Yuan Yuan, 2023, "Do LLM Agents Exhibit Social Behavior?," Papers, arXiv.org, number 2312.15198, Dec, revised Oct 2024.
- Marcin Rzeszutek & Jorgen Vitting Andersen & Adam Szyszka & Szymon Talaga, 2023, "Subjective Well-Being of Corporate Managers And Its Impact on Stock Market Volatility and Financial Stability During the Covid-19 Pandemic in Poland: Agent-Based Model Perspective," Documents de travail du Centre d'Economie de la Sorbonne, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, number 23017, Dec.
- Xiangyu Cui & Xun Li & Yun Shi & Si Zhao, 2023, "Discrete-Time Mean-Variance Strategy Based on Reinforcement Learning," Papers, arXiv.org, number 2312.15385, Dec.
- Jacques Bughin, 2023, "How productive is Generative AI really ?," Working Papers TIMES², ULB -- Universite Libre de Bruxelles, number 2023-064, Dec.
- Soheila Khajoui & Saeid Dehyadegari & Sayyed Abdolmajid Jalaee, 2023, "Forecasting exports in selected OECD countries and Iran using MLP Artificial Neural Network," Papers, arXiv.org, number 2312.15535, Dec.
- Jingwei Ni & Julia Bingler & Chiara Colesanti Senni & Mathias Kraus & Glen Gostlow & Tobias Schimanski & Dominik Stammbach & Saeid Vaghefi & Qian Wang & Nicolas Webersinke & Tobias Wekhof & Tingyu Yu , 2023, "chatReport: Democratizing Sustainability Disclosure Analysis through LLM-based Tools," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-111, Nov.
- Zhiyang Jia & Bodil M. Larsen & Bård Lian & Runa Nesbakken & Odd E. Nygård & Thor O. Thoresen & Trine E. Vattø, 2023, "The LOTTE system of tax microsimulation models," Discussion Papers, Statistics Norway, Research Department, number 1009, Nov.
- Jean Lee & Hoyoul Luis Youn & Josiah Poon & Soyeon Caren Han, 2023, "StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series," Papers, arXiv.org, number 2301.09279, Jan, revised Feb 2023.
- Harashima, Taiji, 2023, "Numerical Simulation of an Endogenously Growing Economy and Its Balanced Growth Path," MPRA Paper, University Library of Munich, Germany, number 119391, Dec.
- Anil R. Doshi & Oliver P. Hauser, 2023, "Generative artificial intelligence enhances creativity but reduces the diversity of novel content," Papers, arXiv.org, number 2312.00506, Dec, revised Mar 2024.
- von der Heyde, Leah & Haensch, Anna-Carolina & Wenz, Alexander, 2023, "Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion," SocArXiv, Center for Open Science, number 8je9g, Dec, DOI: 10.31219/osf.io/8je9g.
- George Gui & Olivier Toubia, 2023, "The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective," Papers, arXiv.org, number 2312.15524, Dec, revised Nov 2025.