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Report NEP-CMP-2024-11-04
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:
- Stanisław Łaniewski & Robert Ślepaczuk, 2024, "Enhancing literature review with NLP methods Algorithmic investment strategies case," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2024-16.
- Thomas R. Cook & Zach Modig & Nathan M. Palmer, 2024, "Explaining Machine Learning by Bootstrapping Partial Marginal Effects and Shapley Values," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2024-075, Sep, DOI: 10.17016/FEDS.2024.075.
- Hendrik Jenett & Maximilian Nagl & Cathrine Nagl & McKay Price & Wolfgang Schäfers, 2024, "Dynamics of REIT Returns and Volatility: Analyzing Time-Varying Drivers Using an Explainable Machine Learning Approach," ERES, European Real Estate Society (ERES), number eres2024-107, Jan.
- Sanjay Sathish & Charu C Sharma, 2024, "Leveraging RNNs and LSTMs for Synchronization Analysis in the Indian Stock Market: A Threshold-Based Classification Approach," Papers, arXiv.org, number 2409.06728, Aug.
- V. Lanzetta, 2024, "Transfer learning for financial data predictions: a systematic review," Papers, arXiv.org, number 2409.17183, Sep.
- Koundouri, Phoebe & Aslanidis, Panagiotis-Stavros & Dellis, Konstantinos & Feretzakis, Georgios & Plataniotis, Angelos, 2024, "Uncovering the SDG content of Human Security Policies through a Machine Learning web application," MPRA Paper, University Library of Munich, Germany, number 121972, Feb.
- Anne-Gaelle Maltese & Pierre Pelletier & R'emy Guichardaz, 2024, "Can AI Enhance its Creativity to Beat Humans ?," Papers, arXiv.org, number 2409.18776, Sep.
- Guoxi Zhang & Jiuding Duan, 2024, "VickreyFeedback: Cost-efficient Data Construction for Reinforcement Learning from Human Feedback," Papers, arXiv.org, number 2409.18417, Sep, revised Dec 2024.
- Jiaxing Yang, 2024, "Predicting Distance matrix with large language models," Papers, arXiv.org, number 2409.16333, Sep.
- Ali Mehrabian & Ehsan Hoseinzade & Mahdi Mazloum & Xiaohong Chen, 2024, "Mamba Meets Financial Markets: A Graph-Mamba Approach for Stock Price Prediction," Papers, arXiv.org, number 2410.03707, Sep, revised Jan 2025.
- Lisa D. Cook, 2024, "Artificial Intelligence, Big Data, and the Path Ahead for Productivity: A speech at Technology-Enabled Disruption: Implications of AI, Big Data, and Remote Work,” a conference organized by the Federal Reserve Banks of Atlanta, Boston, and Richmond, A," Speech, Board of Governors of the Federal Reserve System (U.S.), number 98899, Oct.
- Alexander Bick & Adam Blandin & David Deming, 2023, "The Rapid Adoption of Generative AI," On the Economy, Federal Reserve Bank of St. Louis, number 98843, Sep.
- Ronald Richman & Salvatore Scognamiglio & Mario V. Wuthrich, 2024, "The Credibility Transformer," Papers, arXiv.org, number 2409.16653, Sep.
- Marco Bornstein & Zora Che & Suhas Julapalli & Abdirisak Mohamed & Amrit Singh Bedi & Furong Huang, 2024, "Auction-Based Regulation for Artificial Intelligence," Papers, arXiv.org, number 2410.01871, Oct, revised Feb 2025.
- Bertin Martens, 2024, "The tension between exploding AI investment costs and slow productivity growth," Bruegel Working Papers, Bruegel, number node_10375, Oct.
- Dae-Hyun Yoo & Caterina Giannetti, 2024, "A Principal-Agent Model for Ethical AI: Optimal Contracts and Incentives for Ethical Alignment," Discussion Papers, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy, number 2024/313, Oct.
- Matteo Tranchero & Cecil-Francis Brenninkmeijer & Arul Murugan & Abhishek Nagaraj, 2024, "Theorizing with Large Language Models," NBER Working Papers, National Bureau of Economic Research, Inc, number 33033, Oct.
- Ruslan Goyenko & Bryan T. Kelly & Tobias J. Moskowitz & Yinan Su & Chao Zhang, 2024, "Trading Volume Alpha," NBER Working Papers, National Bureau of Economic Research, Inc, number 33037, Oct.
- Zhen Wang & Ruiqi Song & Chen Shen & Shiya Yin & Zhao Song & Balaraju Battu & Lei Shi & Danyang Jia & Talal Rahwan & Shuyue Hu, 2024, "Overcoming the Machine Penalty with Imperfectly Fair AI Agents," Papers, arXiv.org, number 2410.03724, Sep, revised May 2025.
- Akhter, Fahmida & Bhattacharjee, Ankita & Hasan, Amena, 2024, "Application of Artificial Intelligence in the Human Resource Management: A Bangladesh Perspective," MPRA Paper, University Library of Munich, Germany, number 122222, Jan, revised 11 Sep 2024.
- Kiwhan Song & Mohamed Ali Dhraief & Muhua Xu & Locke Cai & Xuhao Chen & Arvind & Jie Chen, 2024, "Identifying Money Laundering Subgraphs on the Blockchain," Papers, arXiv.org, number 2410.08394, Oct.
- Julius Golej & Andrej Adamušin & Miroslav Panik, 2024, "A Data-Driven Approach to Real Estate Price Estimation: The Case Study Slovakia," ERES, European Real Estate Society (ERES), number eres2024-038, Jan.
- Simon Dohn & Kristoffer Arnsfelt Hansen & Asger Klinkby, 2024, "Improved Hardness Results for the Clearing Problem in Financial Networks with Credit Default Swaps," Papers, arXiv.org, number 2409.18717, Sep.