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. 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:

• Subhadeep Mukhopadhyay, 2021. "InfoGram and Admissible Machine Learning," Papers 2108.07380, arXiv.org, revised Aug 2021.
• Tugce Karatas & Ali Hirsa, 2021. "Two-Stage Sector Rotation Methodology Using Machine Learning and Deep Learning Techniques," Papers 2108.02838, arXiv.org.
• 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 2107.11972, arXiv.org, 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 9255, CESifo.
• Ivan Jericevich & Patrick Chang & Tim Gebbie, 2021. "Simulation and estimation of an agent-based market-model with a matching engine," Papers 2108.07806, arXiv.org, revised Aug 2021.
• Huseyin Gurkan & Francis de Véricourt, 2020. "Contracting, pricing, and data collection under the AI flywheel effect," ESMT Research Working Papers ESMT-20-01_R3, ESMT European School of Management and Technology, 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 2107.13148, arXiv.org, 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) 127993, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• 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 29070, National Bureau of Economic Research, Inc.
• 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 2108.02904, arXiv.org.
• Minford, Patrick & Xu, Yongdeng & Dong, Xue, 2021. "Testing competing world trade models against the facts of world trade," Cardiff Economics Working Papers E2021/20, Cardiff University, Cardiff Business School, Economics Section.
• Allen Hu & Song Ma, 2021. "Persuading Investors: A Video-Based Study," NBER Working Papers 29048, National Bureau of Economic Research, Inc.
• Muhammed Taher Al-Mudafer & Benjamin Avanzi & Greg Taylor & Bernard Wong, 2021. "Stochastic loss reserving with mixture density neural networks," Papers 2108.07924, arXiv.org.
• Tugce Karatas & Federico Klinkert & Ali Hirsa, 2021. "Supervised Neural Networks for Illiquid Alternative Asset Cash Flow Forecasting," Papers 2108.02853, arXiv.org.
• Itakura, Ken & Lee, Hiro, 2021. "Should the United States Rejoin the Trans-Pacific Trade Deal?," MPRA Paper 109133, University Library of Munich, Germany.
• Pawel Polak & Urban Ulrych, 2021. "Dynamic Currency Hedging with Ambiguity," Swiss Finance Institute Research Paper Series 21-60, Swiss Finance Institute.
• 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 555, Central Bank of Brazil, Research Department.
• 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 qt5709d8vr, Institute of Transportation Studies, UC Berkeley.