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Report NEP-BIG-2025-09-29
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:
- Nicolas Apfel & Holger Breinlich & Nick Green & Dennis Novy & J. M. C. Santos Silva & Tom Zylkin, 2025, "Out-of-sample gravity predictions and trade policy counterfactuals," Papers, arXiv.org, number 2509.11271, Sep, revised Apr 2026.
- Thackway, William & Soundararaj, Balamurugan & Pettit, Christopher, 2025, "Demystifying planning application uncertainty: Using machine learning to predict and explain planning application assessment timeframes," SocArXiv, Center for Open Science, number prm25_v1, Sep, DOI: 10.31219/osf.io/prm25_v1.
- Matilda Baret & Yannick Lucotte & Sessi Tokpavi, 2025, "Bridging the Gap: Estimating Scope 3 Emissions at Company’s Level," Working Papers, International Network for Economic Research - INFER, number 2025.12.
- Hao Wang & Jingshu Peng & Yanyan Shen & Xujia Li & Quanqing Xu & Chuanhui Yang & Lei Chen, 2025, "Momentum-integrated Multi-task Stock Recommendation with Converge-based Optimization," Papers, arXiv.org, number 2509.10461, Aug, revised Jan 2026.
- Daniel J. Wilson, 2025, "Estimating National Weather Effects from the Ground Up," Working Paper Series, Federal Reserve Bank of San Francisco, number 2025-18, Sep, DOI: 10.24148/wp2025-18.
- Yi Lu & Aifan Ling & Chaoqun Wang & Yaxin Xu, 2025, "Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction," Papers, arXiv.org, number 2509.10802, Sep.
- Yufei Sun, 2025, "A survey of statistical arbitrage pair trading with machine learning, deep learning, and reinforcement learning methods," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2025-22.
- yunwoo, Kim & Hwang, Junhyuk, 2025, "Benchmarking Machine Learning Models for ESG Prediction in South Korea Using News-Derived Time Series," SocArXiv, Center for Open Science, number v2738_v1, Sep, DOI: 10.31219/osf.io/v2738_v1.
- Dalenda Ben Ahmed & Jamel Eddine Henchiri, 2025, "COVID-19, Stock Market Crisis and Investor Sentiment: French and USA Case," Post-Print, HAL, number hal-05252697, May, DOI: 10.62754/joe.v4i4.6757.
- Adebola K. Ojo & Ifechukwude Jude Okafor, 2025, "Forecasting Nigerian Equity Stock Returns Using Long Short-Term Memory Technique," Papers, arXiv.org, number 2507.01964, May.
- Yijia Xiao & Edward Sun & Tong Chen & Fang Wu & Di Luo & Wei Wang, 2025, "Trading-R1: Financial Trading with LLM Reasoning via Reinforcement Learning," Papers, arXiv.org, number 2509.11420, Sep.
- Sagi Schwartz & Qinling Wang & Fang Fang, 2025, "Enhancing ML Models Interpretability for Credit Scoring," Papers, arXiv.org, number 2509.11389, Sep.