Report NEP-CMP-2018-07-30

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:

• Chien Yi Huang, 2018. "Financial Trading as a Game: A Deep Reinforcement Learning Approach," Papers 1807.02787, arXiv.org.
• Masafumi Nakano & Akihiko Takahashi & Soichiro Takahashi, 2018. "Bitcoin Technical Trading with Articial Neural Network," CIRJE F-Series CIRJE-F-1090, CIRJE, Faculty of Economics, University of Tokyo.
• Christoph Böhringer & Nicholas Rivers, 2018. "The Energy Efficiency Rebound Effect in General Equilibrium," CESifo Working Paper Series 7116, CESifo.
• Audrey Berry, 2018. "Compensating households from carbon tax regressivity and fuel poverty: a microsimulation study," Working Papers hal-01691088, HAL.
• Frédéric Abergel & Rémy Tachet Des Combes & Riadh Zaatour, 2017. "Nonparametric model calibration for derivatives," Post-Print hal-01399542, HAL.
• Victor Chernozhukov & Mert Demirer & Esther Duflo & Ivan Fernandez-Val, 2017. "Generic machine learning inference on heterogenous treatment effects in randomized experiments," CeMMAP working papers CWP61/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Hess T. Chung & Cynthia L. Doniger & Cristina Fuentes-Albero & Bernd Schlusche & Wei Zheng, 2018. "Simulating the Macroeconomic Effects of Unconventional Monetary Policies," FEDS Notes 2018-07-20, Board of Governors of the Federal Reserve System (U.S.).
• Walter, Timo, 2018. "Trade and welfare effects of a potential free trade agreement between Japan and the United States," Hohenheim Discussion Papers in Business, Economics and Social Sciences 16-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
• Tom Auld & Oliver Linton, 2018. "The behaviour of betting and currency markets on the night of the EU referendum," CeMMAP working papers CWP01/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Elena Deryugina & Alexey Ponomarenko & Anna Rozhkova, 2018. "When are credit gap estimates reliable?," Bank of Russia Working Paper Series wps34, Bank of Russia.
• Lijian Wei & Xiong Xiong & Wei Zhang & Xue-Zhong He & Yongjie Zhang, 2017. "The effect of genetic algorithm learning with a classifier system in limit order markets," Published Paper Series 2017-3, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
• Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2018. "Exact and robust conformal inference methods for predictive machine learning with dependent data," CeMMAP working papers CWP16/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Alexey Vasilenko, 2018. "Should Central Banks Prick Asset Price Bubbles? An Analysis Based on a Financial Accelerator Model with an Agent-Based Financial Market," Bank of Russia Working Paper Series wps35, Bank of Russia.