Report NEP-CMP-2019-12-09

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:

• Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019. "The complexity of the intangible digital economy: an agent-based model," MPRA Paper 97071, University Library of Munich, Germany.
• Liu Guang & Wang Xiaojie & Li Ruifan, 2019. "Multi-Scale RCNN Model for Financial Time-series Classification," Papers 1911.09359, arXiv.org.
• Nyoni, Thabani, 2019. "Exports and imports in Zimbabwe: recent insights from artificial neural networks," MPRA Paper 96906, University Library of Munich, Germany.
• Toshikuni Sato, 2019. "Investigating the Impacts of Customer Experience and Attribute Performances on Overall Ratings using Online Review Data: Nonlinear Estimation and Visualization with a Neural Network," DSSR Discussion Papers 105, Graduate School of Economics and Management, Tohoku University.
• Mayaud, Jerome & Anderson, Sam & Tran, Martino & Radic, Valentina, 2018. "Insights from self-organizing maps for predicting accessibility demand for healthcare infrastructure," SocArXiv yngx4, Center for Open Science.
• Xiao, Tim, 2018. "Incremental Risk Charge Methodology," SocArXiv y43dx, Center for Open Science.
• Suarez, Ronny, 2019. "A Monte Carlo Simulation Framework to Track Panama NDC Target," MPRA Paper 97022, University Library of Munich, Germany.
• Martin Stepanek, 2019. "Sectoral Impacts of International Labour Migration and Population Ageing in the Czech Republic," Working Papers IES 2019/15, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jun 2019.
• Zihao Zhang & Stefan Zohren & Stephen Roberts, 2019. "Deep Reinforcement Learning for Trading," Papers 1911.10107, arXiv.org.
• Haipeng Xing, 2019. "A singular stochastic control approach for optimal pairs trading with proportional transaction costs," Papers 1911.10450, arXiv.org.
• John Armstrong & Cristin Buescu, 2019. "Collectivised Pension Investment with Homogeneous Epstein-Zin Preferences," Papers 1911.10047, arXiv.org.
• Binfield, Julian & Boulanger, Pierre & Davids, Tracy & Dudu, Hasan & Ferrari, Emanuele & Mainar-Causape, Alfredo & Meyer, Ferdi, 2019. "Enhancing CGE analysis with PE modelling of Kenyan agricultural and trade policy reforms," 2019 Sixth International Conference, September 23-26, 2019, Abuja, Nigeria 295839, African Association of Agricultural Economists (AAAE).
• Siahaan, Andysah Putera Utama & Nasution, Muhammad Dharma Tuah Putra, 2018. "Entrepreneurship Intention Prediction using Decision Tree and Support Vector Machine," INA-Rxiv mznhb, Center for Open Science.
• Veale, Michael, 2017. "Logics and practices of transparency and opacity in real-world applications of public sector machine learning," SocArXiv 6cdhe, Center for Open Science.
• Manduca, Robert, 2018. "The Spatial Structure of US Metropolitan Employment: New Insights from LODES Data," SocArXiv 6sxv5, Center for Open Science.
• Veale, Michael & Van Kleek, Max & Binns, Reuben, 2018. "Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making," SocArXiv 8kvf4, Center for Open Science.