Report NEP-CMP-2022-02-28

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:

• Joel Dyer & Patrick Cannon & J. Doyne Farmer & Sebastian Schmon, 2022. "Black-box Bayesian inference for economic agent-based models," Papers 2202.00625, arXiv.org.
• Klockmann, Victor & von Schenk, Alicia & Villeval, Marie-Claire, 2022. "Artificial intelligence, ethics, and diffused pivotality," SAFE Working Paper Series 336, Leibniz Institute for Financial Research SAFE.
• Babii, Andrii & Ghysels, Eric & Striaukas, Jonas, 2021. "Machine Learning Time Series Regressions With an Application to Nowcasting," LIDAM Discussion Papers LFIN 2021004, Université catholique de Louvain, Louvain Finance (LFIN).
• Mohsen Asgari & Seyed Hossein Khasteh, 2022. "Profitable Strategy Design by Using Deep Reinforcement Learning for Trades on Cryptocurrency Markets," Papers 2201.05906, arXiv.org.
• Jiaxiong Yao & Mr. Yunhui Zhao, 2022. "Structural Breaks in Carbon Emissions: A Machine Learning Analysis," IMF Working Papers 2022/009, International Monetary Fund.
• Isaiah Andrews & Drew Fudenberg & Lihua Lei & Annie Liang & Chaofeng Wu, 2022. "The Transfer Performance of Economic Models," Papers 2202.04796, arXiv.org, revised Jul 2024.
• Yen Thuan Trinh & Bernard Hanzon, 2022. "Option Pricing and CVA Calculations using the Monte Carlo-Tree (MC-Tree) Method," Papers 2202.00785, arXiv.org.
• Francesco Bova & Avi Goldfarb & Roger G. Melko, 2022. "Quantum Economic Advantage," NBER Working Papers 29724, National Bureau of Economic Research, Inc.
• Kohei Hayashi & Kei Nakagawa, 2022. "Fractional SDE-Net: Generation of Time Series Data with Long-term Memory," Papers 2201.05974, arXiv.org, revised Aug 2022.
• Andreeva, Andriyana & Yolova, Galina, 2021. "Екосистема На Доверие При Използване На Изкуствен Интелект В Трудовите Отношения [Ecosystem of trust in the use of artificial intellegence in the employment relationship]," MPRA Paper 111726, University Library of Munich, Germany.