Report NEP-CMP-2018-10-29

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:

• Oscar Claveria & Enric Monte & Salvador Torra, 2018. "Tracking economic growth by evolving expectations via genetic programming: A two-step approach," Working Papers XREAP2018-4, Xarxa de Referència en Economia Aplicada (XREAP), revised Oct 2018.
• Jamaledini, Ashkan & Khazaei, Ehsan & Toran, Mehdi, 2018. "Modified Genetic Algorithm Framework for Optimal Scheduling of Single Microgrid Combination with Distribution System Operator," MPRA Paper 89411, University Library of Munich, Germany.
• Dominique Guegan & Peter Martey Addo & Bertrand Hassani, 2018. "Credit Risk Analysis Using Machine and Deep Learning Models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01835164, HAL.
• Fischer, Thomas G., 2018. "Reinforcement learning in financial markets - a survey," FAU Discussion Papers in Economics 12/2018, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
• Jean-Marc Montaud & Nicolas Pecastaing, 2013. "Does Mexico Benefit from the Clean Development Mechanism? A Macroeconomic and Environmental General Equilibrium Analysis," Working Papers hal-01880342, HAL.
• Bell, Peter, 2018. "Simulating Mine Revenues with Historical Gold Price Data from the Bank of England," MPRA Paper 89420, University Library of Munich, Germany.
• Antoine Bouët & David Laborde, 2009. "The potential cost of a Failed Doha Round," Working Papers hal-01885165, HAL.
• Yadira Mori-Clement & Stefan Nabernegg & Birgit Bednar-Friedl, 2018. "Can preferential trade agreements enhance renewable electricity generation in emerging economies? A model-based policy analysis for Brazil and the European Union," Graz Economics Papers 2018-19, University of Graz, Department of Economics.
• Kotschy, Rainer & Sunde, Uwe, 2018. "Can Education Compensate the Effect of Population Aging On Macroeconomic Performance?," Rationality and Competition Discussion Paper Series 121, CRC TRR 190 Rationality and Competition.
• Gary S. Anderson, 2018. "Reliably Computing Nonlinear Dynamic Stochastic Model Solutions: An Algorithm with Error Formulas," Finance and Economics Discussion Series 2018-070, Board of Governors of the Federal Reserve System (U.S.).
• Michael Mayer & Steven C. Bourassa & Martin Hoesli & Donato Scognamiglio, 2018. "Different automated valuation modelling techniques evaluated over time," ERES eres2018_40, European Real Estate Society (ERES).
• Jonathan Cogliano & Roberto Veneziani & Naoki Yoshihara, 2018. "Exploitation, skills, and inequality," Working Papers SDES-2018-14, Kochi University of Technology, School of Economics and Management, revised Oct 2018.
• Roman Orus & Samuel Mugel & Enrique Lizaso, 2018. "Forecasting financial crashes with quantum computing," Papers 1810.07690, arXiv.org, revised Jun 2019.
• Joshua Chan & Arnaud Doucet & Roberto León-González & Rodney W. Strachan, 2018. "Multivariate stochastic volatility with co-heteroscedasticity," CAMA Working Papers 2018-52, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Vasilev, Aleksandar, 2018. "Optimal fiscal policy with Epstein-Zin preferences and utility-enhancing government services: lessons from Bulgaria (1999-2016)," EconStor Preprints 183134, ZBW - Leibniz Information Centre for Economics.