Report NEP-CMP-2020-01-06

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:

• Firuz Kamalov, 2019. "Forecasting significant stock price changes using neural networks," Papers 1912.08791, arXiv.org.
• Sidra Mehtab & Jaydip Sen, 2019. "A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing," Papers 1912.07700, arXiv.org.
• Jie Fang & Shutao Xia & Jianwu Lin & Zhikang Xia & Xiang Liu & Yong Jiang, 2019. "Alpha Discovery Neural Network based on Prior Knowledge," Papers 1912.11761, arXiv.org, revised Nov 2020.
• K, Ashin Nishan M & ASHIQ, MUHAMMED V, 2019. "Role of Energy use in the Prediction of CO2 Emissions and Growth in India: An Application of Artificial Neural Networks (ANN)," SocArXiv gkpbu, Center for Open Science.
• Simon Cramer & Torsten Trimborn, 2019. "Stylized Facts and Agent-Based Modeling," Papers 1912.02684, arXiv.org.
• Jiequn Han & Ruimeng Hu, 2019. "Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games," Papers 1912.01809, arXiv.org, revised Jun 2020.
• Florian Botte & Thomas Dallery, 2019. "Analyse systématique du modèle de Bhaduri-Marglin à prix flexibles. "Ca dépend de la valeur des paramètres"," Post-Print hal-02335695, HAL.
• Michael Benzaquen & Jean-Philippe Bouchaud, 2018. "A fractional reaction–diffusion description of supply and demand," Post-Print hal-02323544, HAL.
• Kanai, Ryota & Fujisawa, Ippei & Tamai, Shinya & Magata, Atsushi & Yasumoto, Masahiro, 2019. "Artificial Consciousness as a Platform for Artificial General Intelligence," OSF Preprints e4jh2, Center for Open Science.
• Jawwad Noor, 2019. "Intuitive Beliefs," Cowles Foundation Discussion Papers 2216, Cowles Foundation for Research in Economics, Yale University.
• Yosuke Uno & Ko Adachi, 2019. ""Don't know" Tells: Calculating Non-Response Bias in Firms' Inflation Expectations Using Machine Learning Techniques," Bank of Japan Working Paper Series 19-E-17, Bank of Japan.
• Grodecka, Anna & Hull, Isaiah, 2019. "The Impact of Local Taxes and Public Services on Property Values," Working Paper Series 374, Sveriges Riksbank (Central Bank of Sweden).
• Gert Bijnens & Shyngys Karimov & Jozef Konings, 2019. "Wage Indexation and Jobs. A Machine Learning Approach," Working Papers of Department of Economics, Leuven 643831, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
• Kevin Kuo, 2019. "Generative Synthesis of Insurance Datasets," Papers 1912.02423, arXiv.org, revised Aug 2020.
• Alexandru, Daia, 2019. "Experimented Kinetic Energy As Features For Natural Language Classification," OSF Preprints drwc6, Center for Open Science.
• Alexandru, Daia, 2019. "I Ntroducing A New T Echnical I Ndicator Based On Octav O Nicescu I Nformational E Nergy And Compare It With B Ollinger Bands For S&P 500 M Ovement P Redictions," OSF Preprints m478b, Center for Open Science.
• Olga Ivanova & d'Artis Kancs & Mark Thissen, 2019. "EU Economic Modelling System," EERI Research Paper Series EERI RP 2019/10, Economics and Econometrics Research Institute (EERI), Brussels.
• Morris A. Davis & Jesse Gregory & Daniel A. Hartley & Kegon T. K. Tan, 2019. "Neighborhood Effects and Housing Vouchers," Working Papers 2019-084, Human Capital and Economic Opportunity Working Group.
• Wong, William & Tsuchiya, Naotsugu, 2020. "Evidence accumulation clustering using combinations of features," OSF Preprints epb6t, Center for Open Science.
• Dahlke, Steven, 2019. "Modeling market power on a constrained electricity network," OSF Preprints 9vep7, Center for Open Science.
• Ian Burn & Patrick Button & Luis Felipe Munguia Corella & David Neumark, 2019. "Older Workers Need Not Apply? Ageist Language in Job Ads and Age Discrimination in Hiring," NBER Working Papers 26552, National Bureau of Economic Research, Inc.
• KONDO Satoshi & MIYAKAWA Daisuke & SHIRAKI Kengo & SUGA Miki & USUKI Teppei, 2019. "Using Machine Learning to Detect and Forecast Accounting Fraud," Discussion papers 19103, Research Institute of Economy, Trade and Industry (RIETI).
• Lily Shen & Stephen L. Ross, 2019. "Information Value of Property Description: A Machine Learning Approach," Working papers 2019-20, University of Connecticut, Department of Economics, revised Sep 2020.
• Hoogervorst, R. & Dollevoet, T.A.B. & Maróti, G. & Huisman, D., 2019. "A Variable Neighborhood Search Heuristic for Rolling Stock Rescheduling," Econometric Institute Research Papers EI2019-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
• Filipe Fontanela & Antoine Jacquier & Mugad Oumgari, 2019. "A Quantum algorithm for linear PDEs arising in Finance," Papers 1912.02753, arXiv.org, revised Feb 2021.
• Vuong, Quan-Hoang, 2018. "Sự trỗi dậy của Computational Entrepreneurship," OSF Preprints 6n9wb, Center for Open Science.
• MIYAKAWA Daisuke, 2019. "Shocks to Supply Chain Networks and Firm Dynamics: An Application of Double Machine Learning," Discussion papers 19100, Research Institute of Economy, Trade and Industry (RIETI).
• Zongxi Li & A. Max Reppen & Ronnie Sircar, 2019. "A Mean Field Games Model for Cryptocurrency Mining," Papers 1912.01952, arXiv.org, revised Jan 2022.
• Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP54/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.