Printed from https://ideas.repec.org/n/nep-big/2025-11-24.html
Report NEP-BIG-2025-11-24
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:
- Sotiris & Tsolacos & Tatiana Franus, 2025, "Directional Forecasts for Yields Using Econometric Models and Machine Learning Methods," ERES, European Real Estate Society (ERES), number eres2025_269, Jan.
- Stanislav Selitskiy, 2025, ""It Looks All the Same to Me": Cross-index Training for Long-term Financial Series Prediction," Papers, arXiv.org, number 2511.08658, Nov.
- Elliot Beck & Franziska Eckert & Linus Kuhne & Helge Liebert & Rina Rosenblatt-Wisch, 2025, "Measuring economic outlook in the news," Papers, arXiv.org, number 2511.04299, Nov, revised Dec 2025.
- Matthias Soot & Sabine Horvath & Danielle Warstat & Hans-Berndt Neuner & Alexandra Weitkamp, 2025, "Model selection for inhomogeneous real estate market data in Germany," ERES, European Real Estate Society (ERES), number eres2025_245, Jan.
- Phoebe Koundouri & Conrad Landis & Stathis Devves & Theofanis Zacharatos & Georgios Feretzakis, 2025, "Measuring University Contributions to the Sustainable Development Goals: An NLP-Based Assessment Framework," DEOS Working Papers, Athens University of Economics and Business, number 2562, Nov.
- David Autor & Andrew Caplin & Daniel Martin & Philip Marx, 2025, "Misaligned by Design: Incentive Failures in Machine Learning," Papers, arXiv.org, number 2511.07699, Nov.
- Jan Schmid & He Cheng & Francisco Amaral & Zdrzalek Jonas, 2025, "Predicting House Price Indices: A Machine Learning Approach Using Linked Listing and Transaction Data," ERES, European Real Estate Society (ERES), number eres2025_84, Jan.
- Krishna Neupane & Igor Griva, 2025, "An extreme Gradient Boosting (XGBoost) Trees approach to Detect and Identify Unlawful Insider Trading (UIT) Transactions," Papers, arXiv.org, number 2511.08306, Nov.
- Vikram Aggarwal & Jay Kulkarni & Aakriti Narang & Aditi Mascarenhas & Siddarth Raman & Ajay Shah & Susan Thomas, 2025, "Information Extraction from Fiscal Documents using LLMs," Working Papers, xKDR, number 43, Nov.
- Lukas Lautenschlaeger & Sophia Bodensteiner & Julia Freybote & Wolfgang Schäfers, 2025, "Fundamentals or Noise? The Informative Value of Twitter Sentiment for REIT Returns," ERES, European Real Estate Society (ERES), number eres2025_150, Jan.
- Muhammad Sukri Bin Ramli, 2025, "Pattern Recognition of Scrap Plastic Misclassification in Global Trade Data," Papers, arXiv.org, number 2511.08638, Nov.
- Bachmair, K. & Schmitz, N., 2025, "Forecasting Macro with Finance," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2574, Nov.
- Don & S. Bowen & McKay Price & Luke Stein & Ke Yang, 2025, "Measuring and Mitigating Racial Disparities in Large Language Model Mortgage Underwriting," ERES, European Real Estate Society (ERES), number eres2025_75, Jan.
- Filippo Gusella & Eugenio Vicario, 2025, "Generative Agents and Expectations: Do LLMs Align with Heterogeneous Agent Models?," Papers, arXiv.org, number 2511.08604, Nov.