Printed from https://ideas.repec.org/n/nep-cmp/2023-06-19.html
Report NEP-CMP-2023-06-19
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:
- Borisenko Georgy, 2023, "Using neural networks to predict the value of stocks based on news data," Working Papers, Moscow State University, Faculty of Economics, number 0055, May.
- Julien Pascal, 2023, "Artificial neural networks to solve dynamic programming problems: A bias-corrected Monte Carlo operator," BCL working papers, Central Bank of Luxembourg, number 172, Mar.
- Sheng Xiang & Dawei Cheng & Chencheng Shang & Ying Zhang & Yuqi Liang, 2023, "Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction," Papers, arXiv.org, number 2305.08740, May.
- Jia Xu & Longbing Cao, 2023, "Copula Variational LSTM for High-dimensional Cross-market Multivariate Dependence Modeling," Papers, arXiv.org, number 2305.08778, May.
- Lin An & Andrew A. Li & Benjamin Moseley & R. Ravi, 2023, "The Nonstationary Newsvendor with (and without) Predictions," Papers, arXiv.org, number 2305.07993, May, revised Feb 2025.
- Linyi Yang & Yingpeng Ma & Yue Zhang, 2023, "Measuring Consistency in Text-based Financial Forecasting Models," Papers, arXiv.org, number 2305.08524, May, revised Jun 2023.
- David P. Brown & Daniel O. Cajueiro & Andrew Eckert & Douglas Silveira, 2023, "Information and Transparency: Using Machine Learning to Detect Communication," Working Papers, University of Alberta, Department of Economics, number 2023-06, May.
- Lisa Baldi & Arfini, Filippo & Calzolai, Sara & Donati, Michele, 2023, "CAP reform and GHG emissions: policy assessment using a PMP agent-based model," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK, Agricultural Economics Society - AES, number 334520, Mar, DOI: 10.22004/ag.econ.334520.
- Mario Martinoli & Alessio Moneta & Gianluca Pallante, 2022, "Calibration and Validation of Macroeconomic Simulation Models by Statistical Causal Search," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2022/33, Oct.
- Zikai Wei & Bo Dai & Dahua Lin, 2023, "E2EAI: End-to-End Deep Learning Framework for Active Investing," Papers, arXiv.org, number 2305.16364, May.
- Fridgen, Gilbert & Kräussl, Roman & Papageorgiou, Orestis & Tugnetti, Alessandro, 2023, "The fundamental value of art NFTs," CFS Working Paper Series, Center for Financial Studies (CFS), number 709, DOI: 10.2139/ssrn.4337173.