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Report NEP-BIG-2025-11-17
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:
- Matthias Soot & Daniel Kretzschmar & Alexandra Weitkamp, 2025, "Expert opinion vs. artificial intelligence: new evidence on building age estimation," ERES, European Real Estate Society (ERES), number eres2025_262, Jan.
- Lampe, Max & Adalid, Ramón, 2025, "A machine learning approach to real time identification of turning points in monetary aggregates M1 and M3," Working Paper Series, European Central Bank, number 3148, Nov.
- Nikolas Anic & Andrea Barbon & Ralf Seiz & Carlo Zarattini, 2025, "ChatGPT in Systematic Investing - Enhancing Risk-Adjusted Returns with LLMs," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 25-94, Oct.
- Cansu Isler, 2025, "Words Matter: Forecasting Economic Downside Risks with Corporate Textual Data," Papers, arXiv.org, number 2511.04935, Nov.
- Toby Barter & Zheng Gao & Eva Christodoulaki & Jing Chen & John Cartlidge, 2025, "BondBERT: What we learn when assigning sentiment in the bond market," Papers, arXiv.org, number 2511.01869, Oct, revised Dec 2025.
- Leonardo N. Ferreira & Caio Garzeri & Diogo Guillen & Antônio Lima & Victor Monteiro, 2025, "The Not So Quiet Revolution: signal and noise in central bank communication," Working Papers Series, Central Bank of Brazil, Research Department, number 635, Nov.
- Felipe Valencia-Clavijo, 2025, "Anchors in the Machine: Behavioral and Attributional Evidence of Anchoring Bias in LLMs," Papers, arXiv.org, number 2511.05766, Nov.