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Report NEP-BIG-2022-03-14
This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-BIG
The following items were announced in this report:
- Adel Daoud & Felipe Jordan & Makkunda Sharma & Fredrik Johansson & Devdatt Dubhashi & Sourabh Paul & Subhashis Banerjee, 2021, "Measuring poverty in India with machine learning and remote sensing," Papers, arXiv.org, number 2202.00109, Dec, revised Oct 2022.
- Ogulcan E. Orsel & Sasha S. Yamada, 2022, "Comparative Study of Machine Learning Models for Stock Price Prediction," Papers, arXiv.org, number 2202.03156, Jan.
- Caio Almeida & Jianqing Fan & Francesca Tang, 2021, "Can a Machine Correct Option Pricing Models?," Working Papers, Princeton University. Economics Department., number 2021-44, May.
- Isaac K. Ofori & Christopher Quaidoo & Pamela E. Ofori, 2021, "What Drives Financial Sector Development in Africa? Insights from Machine Learning," Research Africa Network Working Papers, Research Africa Network (RAN), number 21/074, Jan.
- Jia Wang & Hongwei Zhu & Jiancheng Shen & Yu Cao & Benyuan Liu, 2022, "Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements," Papers, arXiv.org, number 2202.03158, Jan.
- Augustine Denteh & Helge Liebert, 2022, "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," Working Papers, Tulane University, Department of Economics, number 2201, Jan.
- O'Shaughnessy, Matthew & Schiff, Daniel & Varshney, Lav R. & Rozell, Christopher & Davenport, Mark, 2021, "What governs attitudes toward artificial intelligence adoption and governance?," OSF Preprints, Center for Open Science, number pkeb8, Dec, DOI: 10.31219/osf.io/pkeb8.
- Drydakis, Nick, 2022, "Artificial Intelligence and Reduced SMEs' Business Risks. A Dynamic Capabilities Analysis during the COVID-19 Pandemic," IZA Discussion Papers, IZA Network @ LISER, number 15065, Feb.
- Stefan Pasch & Daniel Ehnes, 2022, "StonkBERT: Can Language Models Predict Medium-Run Stock Price Movements?," Papers, arXiv.org, number 2202.02268, Feb.
- Gries, Thomas & Naudé, Wim, 2022, "Breakthroughs, Backlashes and Artificial General Intelligence: An Extended Real Options Approach," IZA Discussion Papers, IZA Network @ LISER, number 15077, Feb.
- Marius Hofert & Avinash Prasad & Mu Zhu, 2022, "Dependence model assessment and selection with DecoupleNets," Papers, arXiv.org, number 2202.03406, Feb, revised Oct 2022.
- Karen Croxson & Jon Frost & Leonardo Gambacorta & Tommaso Valletti, 2021, "Platform-based business models and financial inclusion," BIS Working Papers, Bank for International Settlements, number 986, Dec.
- Minheng Xiao, 2022, "Time-Series K-means in Causal Inference and Mechanism Clustering for Financial Data," Papers, arXiv.org, number 2202.03146, Jan, revised Jun 2025.
- German Puga & Kym Anderson & Firmin Doko Tchatoka, 2021, "The impact of growing season temperature on grape prices in Australia," Wine Economics Research Centre Working Papers, University of Adelaide, Wine Economics Research Centre, number 2021-07, Nov.
- David Castells-Quintana & Elisa Dienesch & Melanie Krause, 2021, "Air pollution in an urban world: A global view on density, cities and emissions," Post-Print, HAL, number hal-03361637, Nov, DOI: 10.1016/j.ecolecon.2021.107153.