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. 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:

• Joel Dyer & Patrick Cannon & J. Doyne Farmer & Sebastian Schmon, 2022, "Black-box Bayesian inference for economic agent-based models," Papers, arXiv.org, number 2202.00625, Feb.
• Klockmann, Victor & von Schenk, Alicia & Villeval, Marie-Claire, 2022, "Artificial intelligence, ethics, and diffused pivotality," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 336, DOI: 10.2139/ssrn.4003065.
• Babii, Andrii & Ghysels, Eric & Striaukas, Jonas, 2021, "Machine Learning Time Series Regressions With an Application to Nowcasting," LIDAM Discussion Papers LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2021004, Jan.
• Mohsen Asgari & Seyed Hossein Khasteh, 2022, "Profitable Strategy Design by Using Deep Reinforcement Learning for Trades on Cryptocurrency Markets," Papers, arXiv.org, number 2201.05906, Jan.
• Jiaxiong Yao & Mr. Yunhui Zhao, 2022, "Structural Breaks in Carbon Emissions: A Machine Learning Analysis," IMF Working Papers, International Monetary Fund, number 2022/009, Jan.
• Isaiah Andrews & Drew Fudenberg & Lihua Lei & Annie Liang & Chaofeng Wu, 2022, "The Transfer Performance of Economic Models," Papers, arXiv.org, number 2202.04796, Feb, revised Mar 2025.
• Yen Thuan Trinh & Bernard Hanzon, 2022, "Option Pricing and CVA Calculations using the Monte Carlo-Tree (MC-Tree) Method," Papers, arXiv.org, number 2202.00785, Feb.
• Francesco Bova & Avi Goldfarb & Roger G. Melko, 2022, "Quantum Economic Advantage," NBER Working Papers, National Bureau of Economic Research, Inc, number 29724, Feb.
• Kohei Hayashi & Kei Nakagawa, 2022, "Fractional SDE-Net: Generation of Time Series Data with Long-term Memory," Papers, arXiv.org, number 2201.05974, Jan, 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, University Library of Munich, Germany, number 111726.

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. 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: