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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. Stanley Miles issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, arXiv.org, number 2107.08721, Jul.
- 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, arXiv.org, number 2108.02755, Aug.
- Thomas Conlon & John Cotter & Iason Kynigakis, 2021, "Machine Learning and Factor-Based Portfolio Optimization," Working Papers, Geary Institute, University College Dublin, number 202111, Mar.
- 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, Faculty of Economics, University of Tokyo, number CIRJE-F-1167, May.
- 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, Toulouse School of Economics (TSE), number 21-1233, Jul.
- Dave Cliff & James Hawkins & James Keen & Roberto Lau-Soto, 2021, "Implementing the BBE Agent-Based Model of a Sports-Betting Exchange," Papers, arXiv.org, number 2108.02419, Aug.
- Andrea Pontiggia & Giovanni Fasano, 2021, "Data Analytics and Machine Learning paradigm to gauge performances combining classification, ranking and sorting for system analysis," Working Papers, Venice School of Management - Department of Management, Università Ca' Foscari Venezia, number 05, Jul.
- Item repec:spo:wpmain:info:hdl:2441/401t6job098n79ch91o9giov9d is not listed on IDEAS anymore
- Peter Eccles & Paul Grout & Paolo Siciliani & Anna Zalewska, 2021, "The impact of machine learning and big data on credit markets," Bank of England working papers, Bank of England, number 930, Jul.
- Abdul-Lateef Haji-Ali & Jonathan Spence & Aretha Teckentrup, 2021, "Adaptive Multilevel Monte Carlo for Probabilities," Papers, arXiv.org, number 2107.09148, Jul.
- Stathis Polyzos & Anestis Fotiadis & Aristeidis Samitas, 2021, "COVID-19 Tourism Recovery in the ASEAN and East Asia Region: Asymmetric Patterns and Implications," Working Papers, Economic Research Institute for ASEAN and East Asia (ERIA), number DP-2021-12, Jun.
- Yusuke NARITA & Kohei YATA, 2021, "Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," Discussion papers, Research Institute of Economy, Trade and Industry (RIETI), number 21057, Jul.
- Item repec:pdn:dispap:79 is not listed on IDEAS anymore
- Yuga Iguchi & Riu Naito & Yusuke Okano & Akihiko Takahashi & Toshihiro Yamada, 2021, "Deep Asymptotic Expansion with Weak Approximation ," CIRJE F-Series, CIRJE, Faculty of Economics, University of Tokyo, number CIRJE-F-1168, May.
- 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, Center for Open Science, number 6svp9, Jul, DOI: 10.31219/osf.io/6svp9.
- Jonathan Heathcote & Hitoshi Tsujiyama, 2021, "Practical Optimal Income Taxation," Staff Report, Federal Reserve Bank of Minneapolis, number 626, Jul, DOI: 10.21034/sr.626.
- Tchoffo, Rodrigue, 2021, "Design of a Covid-19 model for environmental impact: From the partial equilibrium to the Computable General Equilibrium model," MPRA Paper, University Library of Munich, Germany, number 108920, Jul, revised 27 Jul 2021.
- Wei Li & Florentina Paraschiv & Georgios Sermpinis, 2021, "A Data-driven Explainable Case-based Reasoning Approach for Financial Risk Detection," Papers, arXiv.org, number 2107.08808, Jul.
- Shubham Ekapure & Nuruddin Jiruwala & Sohan Patnaik & Indranil SenGupta, 2021, "A data-science-driven short-term analysis of Amazon, Apple, Google, and Microsoft stocks," Papers, arXiv.org, number 2107.14695, Jul.
- Antonino Claudio Bonan, 2021, "Sustainability of Global Economy as a Quantum Circuit," Working Papers, HAL, number hal-03291997, Jul.
- Wen Su, 2021, "Pricing Exchange Option Based on Copulas by MCMC Algorithm," Papers, arXiv.org, number 2107.10225, Jul.
- Cédric Poutré & Georges Dionne & Gabriel Yergeau, 2021, "International High-Frequency Arbitrage for Cross-Listed Stocks," Working Papers, HEC Montreal, Canada Research Chair in Risk Management, number 21-4, Jul.
- João A. Bastos & Jorge Caiado, 2021, "On the classification of financial data with domain agnostic features," Working Papers REM, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa, number 2021/0185, Jul.
- 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, Center for Open Science, number b8fae, Jul, DOI: 10.31219/osf.io/b8fae.
- Szymon Sacher & Laura Battaglia & Stephen Hansen, 2021, "Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data," Papers, arXiv.org, number 2107.08112, Jul, 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, Center for Open Science, number vrmpf, Jul, DOI: 10.31219/osf.io/vrmpf.