Report NEP-CMP-2021-08-09

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:

• Qinkai Chen, 2021. "Stock Movement Prediction with Financial News using Contextualized Embedding from BERT," Papers 2107.08721, arXiv.org.
• Stephan Zheng & Alexander Trott & Sunil Srinivasa & David C. Parkes & Richard Socher, 2021. "The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning," Papers 2108.02755, arXiv.org.
• Thomas Conlon & John Cotter & Iason Kynigakis, 2021. "Machine Learning and Factor-Based Portfolio Optimization," Working Papers 202111, Geary Institute, University College Dublin.
• Akihiko Takahashi & Toshihiro Yamada, 2021. "Asymptotic Expansion and Deep Neural Networks Overcome the Curse of Dimensionality in the Numerical Approximation of Kolmogorov Partial Differential Equations with Nonlinear Coefficients," CIRJE F-Series CIRJE-F-1167, CIRJE, Faculty of Economics, University of Tokyo.
• Gadat, Sébastien & Corre, Lola & Doury, Antoine & Ribes, Aurélien & Somot, Samuel, 2021. "Regional Climate Model Emulator Based on Deep Learning: Concept and First Evaluation of a Novel Hybrid Downscaling Approach," TSE Working Papers 21-1233, Toulouse School of Economics (TSE).
• Dave Cliff & James Hawkins & James Keen & Roberto Lau-Soto, 2021. "Implementing the BBE Agent-Based Model of a Sports-Betting Exchange," Papers 2108.02419, arXiv.org.
• Andrea Pontiggia & Giovanni Fasano, 2021. "Data Analytics and Machine Learning paradigm to gauge performances combining classification, ranking and sorting for system analysis," Working Papers 05, Venice School of Management - Department of Management, Università Ca' Foscari Venezia.
• Giovanni Dosi & Francesco Lamperti & Mariana Mazzucato & Mauro Napoletano & Andrea Roventini, 2021. "Mission-Oriented Policies and the “Entrepreneurial State” at Work: An Agent-Based Exploration," SciencePo Working papers Main hal-03300295, HAL.
• Eccles, Peter & Grout, Paul & Siciliani, Paolo & Zalewska, Anna, 2021. "The impact of machine learning and big data on credit markets," Bank of England working papers 930, Bank of England.
• Abdul-Lateef Haji-Ali & Jonathan Spence & Aretha Teckentrup, 2021. "Adaptive Multilevel Monte Carlo for Probabilities," Papers 2107.09148, arXiv.org.
• Stathis Polyzos & Anestis Fotiadis & Aristeidis Samitas, 2021. "COVID-19 Tourism Recovery in the ASEAN and East Asia Region: Asymmetric Patterns and Implications," Working Papers DP-2021-12, Economic Research Institute for ASEAN and East Asia (ERIA).
• NARITA Yusuke & YATA Kohei, 2021. "Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," Discussion papers 21057, Research Institute of Economy, Trade and Industry (RIETI).
• Christian Bartelheimer, Philipp zur Heiden, Hedda Lüttenberg, Daniel Beverungen, 2021. "Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study," Working Papers Dissertations 79, Paderborn University, Faculty of Business Administration and Economics.
• Yuga Iguchi & Riu Naito & Yusuke Okano & Akihiko Takahashi & Toshihiro Yamada, 2021. "Deep Asymptotic Expansion with Weak Approximation ," CIRJE F-Series CIRJE-F-1168, CIRJE, Faculty of Economics, University of Tokyo.
• Wei, Xuan & Zhang, Zhu & Zhang, Mingyue & Chen, Weiyun & Zeng, Daniel Dajun, 2021. "Online Supplements: Combining Crowd and Machine Intelligence to Detect False News in Social Media," OSF Preprints 6svp9, Center for Open Science.
• Jonathan Heathcote & Hitoshi Tsujiyama, 2021. "Practical Optimal Income Taxation," Staff Report 626, Federal Reserve Bank of Minneapolis.
• Tchoffo, Rodrigue, 2021. "Design of a Covid-19 model for environmental impact: From the partial equilibrium to the Computable General Equilibrium model," MPRA Paper 108920, University Library of Munich, Germany, revised 27 Jul 2021.
• Wei Li & Florentina Paraschiv & Georgios Sermpinis, 2021. "A Data-driven Explainable Case-based Reasoning Approach for Financial Risk Detection," Papers 2107.08808, arXiv.org.
• Shubham Ekapure & Nuruddin Jiruwala & Sohan Patnaik & Indranil SenGupta, 2021. "A data-science-driven short-term analysis of Amazon, Apple, Google, and Microsoft stocks," Papers 2107.14695, arXiv.org.
• Antonino Claudio Bonan, 2021. "Sustainability of Global Economy as a Quantum Circuit," Working Papers hal-03291997, HAL.
• Wen Su, 2021. "Pricing Exchange Option Based on Copulas by MCMC Algorithm," Papers 2107.10225, arXiv.org.
• Poutré, Cédric & Dionne, Georges & Yergeau, Gabriel, 2021. "International High-Frequency Arbitrage for Cross-Listed Stocks," Working Papers 21-4, HEC Montreal, Canada Research Chair in Risk Management, revised 15 Mar 2022.
• João A. Bastos & Jorge Caiado, 2021. "On the classification of financial data with domain agnostic features," Working Papers REM 2021/0185, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• Chang, Sungyong & Kim, Hyunseob & Song, Jaeyong & Lee, Keun, 2021. "Dynamics of Imitation versus Innovation in Technological Leadership Change: Latecomers’ Catch-up Strategies in Diverse Technological Regimes," SocArXiv b8fae, Center for Open Science.
• Szymon Sacher & Laura Battaglia & Stephen Hansen, 2021. "Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data," Papers 2107.08112, arXiv.org, revised Feb 2024.
• Denkenberger, David & Sandberg, Anders & Tieman, Ross & Pearce, Joshua M., 2021. "Long Term Cost-Effectiveness of Resilient Foods for Global Catastrophes Compared to Artificial General Intelligence Safety," OSF Preprints vrmpf, Center for Open Science.