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Report NEP-BIG-2026-03-09
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:
- Szymon Lis & Robert 'Slepaczuk & Pawe{l} Sakowski, 2026, "Overreaction as an indicator for momentum in algorithmic trading: A Case of AAPL stocks," Papers, arXiv.org, number 2602.18912, Feb.
- Fausch, Jürg & Frigg, Moreno & Ruenzi, Stefan & Weigert, Florian, 2026, "Machine learning mutual fund flows," CFR Working Papers, University of Cologne, Centre for Financial Research (CFR), number 26-03.
- Vegard H. Larsen & Leif Anders Thorsrud, 2026, "Using Transformers and Reinforcement Learning as Narrative Filters in Macroeconomics," CESifo Working Paper Series, CESifo, number 12454.
- Bricongne, Jean-Charles & Meunier, Baptiste & Macalos, Joao & Milis, Julia & Pical, Thomas, 2026, "Can satellites predict oil demand?," Working Paper Series, European Central Bank, number 3198, Feb.
- Leonardo Costa Ribeiro & Jonatan Andersson & William Skoglund & Jakob Molinder & Martin Önnerfors, 2026, "Automated historical census digitization using image augmentation and transformer-based methods," Working Papers, European Historical Economics Society (EHES), number 0298, Feb.
- da Silva, Lucas Paulo, 2026, "Measuring Online Media Ideology with Large Language Models and "Multi-Cue Classification"," SocArXiv, Center for Open Science, number zmtqp_v1, Feb, DOI: 10.31219/osf.io/zmtqp_v1.
- Rilke, Rainer & Sliwka, Dirk, 2026, "When Algorithms Rate Performance: Do Large Language Models Replicate Human Evaluation Biases?," IZA Discussion Papers, IZA Network @ LISER, number 18371, Feb.
- Paola Ganum & Tohid Atashbar, 2026, "How Effectively Can Current LLMs Analyze Macrofinancial Issues?," IMF Working Papers, International Monetary Fund, number 2026/035, Feb.
- Baris Arat & Hasan Fehmi Ates & Emre Sefer, 2026, "Sub-City Real Estate Price Index Forecasting at Weekly Horizons Using Satellite Radar and News Sentiment," Papers, arXiv.org, number 2602.18572, Feb.
- Wenxi Geng & Dingyuan Liu & Liya Li & Yiqing Wang, 2026, "Could Large Language Models work as Post-hoc Explainability Tools in Credit Risk Models?," Papers, arXiv.org, number 2602.18895, Feb, revised May 2026.
- Foltyn, Richard & Olsson, Jonna, 2026, "The Worth of a “Wo”: Gender Bias in Financial Advice from LLMs," Discussion Paper Series in Economics, Norwegian School of Economics, Department of Economics, number 4/2026, Feb.