Report NEP-CMP-2024-05-20

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:

• Masanori Hirano, 2024. "Experimental Analysis of Deep Hedging Using Artificial Market Simulations for Underlying Asset Simulators," Papers 2404.09462, arXiv.org.
• Böcking, Lars & Michaelis, Anne & Schäfermeier, Bastian & Baier, André & Kühl, Niklas & Körner, Marc-Fabian & Nolting, Lars, 2024. "Generative Artificial Intelligence in the energy sector," Bayreuth Reports on Information Systems Management 71, University of Bayreuth, Chair of Information Systems Management.
• Francisco de Arriba-P'erez & Silvia Garc'ia-M'endez & Jos'e A. Regueiro-Janeiro & Francisco J. Gonz'alez-Casta~no, 2024. "Detection of financial opportunities in micro-blogging data with a stacked classification system," Papers 2404.07224, arXiv.org.
• Masanori Hirano & Kentaro Imajo, 2024. "Construction of Domain-specified Japanese Large Language Model for Finance through Continual Pre-training," Papers 2404.10555, arXiv.org.
• Pawanesh Pawanesh & Charu Sharma & Niteesh Sahni, 2024. "Exploiting the geometry of heterogeneous networks: A case study of the Indian stock market," Papers 2404.04710, arXiv.org, revised Jan 2025.
• Mark Setterfield & George Wheaton, 2024. "Animal spirits and the Goodwin pattern," Working Papers 2407, New School for Social Research, Department of Economics.
• Alicia Vidler, 2024. "Recommender Systems in Financial Trading: Using machine-based conviction analysis in an explainable AI investment framework," Papers 2404.11080, arXiv.org.
• Thiago C. Silva & Paulo V. B. Wilhelm & Diego R. Amancio, 2024. "Machine learning and economic forecasting: the role of international trade networks," Papers 2404.08712, arXiv.org.
• Chen, Yudong & Chen, Yining, 2024. "Yudong Chen and Yining Chen's contribution to the discussion of ‘the discussion meeting on probabilistic and statistical aspects of machine learning’," LSE Research Online Documents on Economics 121252, London School of Economics and Political Science, LSE Library.
• Gavioli-Akilagun, Shakeel, 2024. "Shakeel Gavioli-Akilagun's contribution to the discussion of the discussion meeting on probabilistic and statistical aspects of machine learning," LSE Research Online Documents on Economics 121251, London School of Economics and Political Science, LSE Library.
• Daube, Carl Heinz & Krivenkov, Vladislav, 2024. "Generative AI Tools zur Prognose von Leitzins-Entscheidungen: eine Fallstudie am Beispiel der Leitzinsentscheidungen der Federal Reserve," EconStor Preprints 293992, ZBW - Leibniz Information Centre for Economics.
• Nisarg Patel & Harmit Shah & Kishan Mewada, 2023. "Enhancing Financial Data Visualization for Investment Decision-Making," Papers 2403.18822, arXiv.org.
• Spurthi Setty & Harsh Thakkar & Alyssa Lee & Eden Chung & Natan Vidra, 2024. "Improving Retrieval for RAG based Question Answering Models on Financial Documents," Papers 2404.07221, arXiv.org, revised Jul 2024.
• Yanwei Jia, 2024. "Continuous-time Risk-sensitive Reinforcement Learning via Quadratic Variation Penalty," Papers 2404.12598, arXiv.org.
• Benjamin S. Manning & Kehang Zhu & John J. Horton, 2024. "Automated Social Science: Language Models as Scientist and Subjects," Papers 2404.11794, arXiv.org, revised Apr 2024.
• Lee, Wang-Sheng & Tran, Trang My, 2024. "Emissions from Military Training: Evidence from Australia," IZA Discussion Papers 16889, Institute of Labor Economics (IZA).
• Haotian Chen & Xinjie Shen & Zeqi Ye & Wenjun Feng & Haoxue Wang & Xiao Yang & Xu Yang & Weiqing Liu & Jiang Bian, 2024. "Towards Data-Centric Automatic R&D," Papers 2404.11276, arXiv.org, revised Jul 2024.
• Rei Iwafuchi & Yasumasa Matsuda, 2024. "Deep learning for multivariate volatility forecasting in high-dimensional financial time series," DSSR Discussion Papers 141, Graduate School of Economics and Management, Tohoku University.
• Marie Hogan & Aakash Kalyani, 2024. "AI and Productivity Growth: Evidence from Historical Developments in Other Technologies," On the Economy 98109, Federal Reserve Bank of St. Louis.
• R. Michael Alvarez & Jacob Morrier, 2024. "Measuring the Quality of Answers in Political Q&As with Large Language Models," Papers 2404.08816, arXiv.org, revised Nov 2024.