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Report NEP-CMP-2021-08-23
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:
- Subhadeep Mukhopadhyay, 2021, "InfoGram and Admissible Machine Learning," Papers, arXiv.org, number 2108.07380, Aug, revised Aug 2021.
- Tugce Karatas & Ali Hirsa, 2021, "Two-Stage Sector Rotation Methodology Using Machine Learning and Deep Learning Techniques," Papers, arXiv.org, number 2108.02838, Aug.
- Liang Zeng & Lei Wang & Hui Niu & Ruchen Zhang & Ling Wang & Jian Li, 2021, "Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling," Papers, arXiv.org, number 2107.11972, Jul, revised Jul 2024.
- Rui (Aruhan) Shi, 2021, "Learning from Zero: How to Make Consumption-Saving Decisions in a Stochastic Environment with an AI Algorithm," CESifo Working Paper Series, CESifo, number 9255.
- Ivan Jericevich & Patrick Chang & Tim Gebbie, 2021, "Simulation and estimation of an agent-based market-model with a matching engine," Papers, arXiv.org, number 2108.07806, Aug, revised Aug 2021.
- Huseyin Gurkan & Francis de Véricourt, 2020, "Contracting, pricing, and data collection under the AI flywheel effect," ESMT Research Working Papers, ESMT European School of Management and Technology, number ESMT-20-01_R3, Mar, revised 17 Aug 2021.
- A. K. M. Amanat Ullah & Fahim Imtiaz & Miftah Uddin Md Ihsan & Md. Golam Rabiul Alam & Mahbub Majumdar, 2021, "Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction," Papers, arXiv.org, number 2107.13148, Jul, revised Aug 2023.
- Pumplun, Luisa & Fecho, Mariska & Wahl, Nihal & Peters, Felix & Buxmann, Peter, 2021, "Adoption of Machine Learning Systems for Medical Diagnostics in Clinics: A Qualitative Interview Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 127993, Oct.
- Emily Aiken & Suzanne Bellue & Dean Karlan & Christopher R. Udry & Joshua Blumenstock, 2021, "Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance," NBER Working Papers, National Bureau of Economic Research, Inc, number 29070, Jul.
- Alexander Trott & Sunil Srinivasa & Douwe van der Wal & Sebastien Haneuse & Stephan Zheng, 2021, "Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist," Papers, arXiv.org, number 2108.02904, Aug.
- Minford, Patrick & Xu, Yongdeng & Dong, Xue, 2021, "Testing competing world trade models against the facts of world trade," Cardiff Economics Working Papers, Cardiff University, Cardiff Business School, Economics Section, number E2021/20, Aug.
- Allen Hu & Song Ma, 2021, "Persuading Investors: A Video-Based Study," NBER Working Papers, National Bureau of Economic Research, Inc, number 29048, Jul.
- Muhammed Taher Al-Mudafer & Benjamin Avanzi & Greg Taylor & Bernard Wong, 2021, "Stochastic loss reserving with mixture density neural networks," Papers, arXiv.org, number 2108.07924, Aug.
- Tugce Karatas & Federico Klinkert & Ali Hirsa, 2021, "Supervised Neural Networks for Illiquid Alternative Asset Cash Flow Forecasting," Papers, arXiv.org, number 2108.02853, Aug.
- Itakura, Ken & Lee, Hiro, 2021, "Should the United States Rejoin the Trans-Pacific Trade Deal?," MPRA Paper, University Library of Munich, Germany, number 109133, Jun.
- Pawel Polak & Urban Ulrych, 2021, "Dynamic Currency Hedging with Ambiguity," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 21-60, Aug.
- Angelo M. Fasolo & Flávia M. Graminho & Saulo B. Bastos, 2021, "Seeing the Forest for the Trees: using hLDA models to evaluate communication in Banco Central do Brasil," Working Papers Series, Central Bank of Brazil, Research Department, number 555, Aug.
- Yedavalli, Pavan & Burak Onat, Emin & Peng, Xin & Sengupta, Raja & Waddell, Paul & Bulusu, Vishwanath & Xue, Min, 2021, "SimUAM: A Comprehensive Microsimulation Toolchain to Evaluate the Impact of Urban Air Mobility in Metropolitan Areas," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings, Institute of Transportation Studies, UC Berkeley, number qt5709d8vr, Aug.