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Report NEP-BIG-2022-04-04
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:
- Giuseppe Cascarino & Mirko Moscatelli & Fabio Parlapiano, 2022, "Explainable Artificial Intelligence: interpreting default forecasting models based on Machine Learning," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 674, Mar.
- Chao Zhang & Yihuang Zhang & Mihai Cucuringu & Zhongmin Qian, 2022, "Volatility forecasting with machine learning and intraday commonality," Papers, arXiv.org, number 2202.08962, Feb, revised Feb 2023.
- Rian Dolphin & Barry Smyth & Ruihai Dong, 2022, "Stock Embeddings: Learning Distributed Representations for Financial Assets," Papers, arXiv.org, number 2202.08968, Feb.
- Keil, Petr & Chase, Jonathan, 2022, "Interpolation of temporal biodiversity change, loss, and gain across scales: a machine learning approach," EcoEvoRxiv, Center for Open Science, number rky7b, Mar, DOI: 10.31219/osf.io/rky7b.
- Mukund Sundararajan & Walid Krichene, 2022, "Reciprocity in Machine Learning," Papers, arXiv.org, number 2202.09480, Feb.
- Jurić, Tado, 2022, "Predicting refugee flows from Ukraine with an approach to Big (Crisis) Data: a new opportunity for refugee and humanitarian studies," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 251215, DOI: 10.1101/2022.03.15.22272428.
- Damir Filipović & Markus Pelger & Ye Ye, 2022, "Stripping the Discount Curve - a Robust Machine Learning Approach," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 22-24, Mar.
- Andrés Fernández Díaz & Benito Rodríguez Mallol, 2022, "Inteligencia artificial: una reevaluación," Documentos de trabajo de la Facultad de Ciencias Económicas y Empresariales, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, number 22-01.
- Amir Taherizadeh & Catherine Beaudry, 2022, "Vers une meilleure compréhension de la transformation numérique optimisée par l’IA et de ses implications pour les PME manufacturières au Canada - Une recherche qualitative exploratoire," CIRANO Project Reports, CIRANO, number 2022rp-04, Mar.
- Item repec:sef:csefwp:641 is not listed on IDEAS anymore
- Matthias Lalisse, 2022, "Measuring the Impact of Campaign Finance on Congressional Voting: A Machine Learning Approach," Working Papers Series, Institute for New Economic Thinking, number inetwp178, Feb, DOI: 10.36687/inetwp178.
- Kristof Wiedermann, 2022, "An SMP-Based Algorithm for Solving the Constrained Utility Maximization Problem via Deep Learning," Papers, arXiv.org, number 2202.07771, Feb.
- Igna, Ioana & Venturini, Francesco, 2022, "The determinants of AI innovation across European firms," Papers in Innovation Studies, Lund University, CIRCLE - Centre for Innovation Research, number 2022/3, Mar.
- De Castro, Angelo, 2022, "The Ebb of Fiat and the Flow of Cryptocurrency," OSF Preprints, Center for Open Science, number trpwc, Feb, DOI: 10.31219/osf.io/trpwc.
- DUCH BROWN Nestor & GOMEZ-HERRERA Estrella & MUELLER-LANGER Frank & TOLAN Songul, 2022, "Market Power and Artificial Intelligence Work on Online Labour Markets," JRC Working Papers on Digital Economy, Joint Research Centre, number 2021-10, Feb.
- Kvam, Emilie & Molnar, Peter & Wankel, Ingvild & Odegaard, Bernt Arne, 2022, "Do sustainable company stock prices increase with ESG scrutiny? Evidence using social media," UiS Working Papers in Economics and Finance, University of Stavanger, number 2022/1, Mar.
- Harold Houba & Evgenia Motchenkova & Hui Wang, 2022, "Personalized Pricing, Competition and Welfare," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 22-020/VII, Feb.