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Report NEP-BIG-2025-10-20
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:
- Yun Lin & Jiawei Lou & Jinghe Zhang, 2025, "From Headlines to Holdings: Deep Learning for Smarter Portfolio Decisions," Papers, arXiv.org, number 2509.24144, Sep.
- Saeid Mashhadi & Amirhossein Saghezchi & Vesal Ghassemzadeh Kashani, 2025, "Interpretable Machine Learning for Predicting Startup Funding, Patenting, and Exits," Papers, arXiv.org, number 2510.09465, Oct.
- Yun Zhao & Harry Zheng, 2025, "Neural Network Convergence for Variational Inequalities," Papers, arXiv.org, number 2509.26535, Sep, revised Oct 2025.
- Marlon Azinovic-Yang & Jan v{Z}emliv{c}ka, 2025, "Deep Learning in the Sequence Space," Papers, arXiv.org, number 2509.13623, Sep, revised Mar 2026.
- Zheng Cao & Xingran Shao & Yuheng Yan & Helyette Geman, 2025, "Identifying and Quantifying Financial Bubbles with the Hyped Log-Periodic Power Law Model," Papers, arXiv.org, number 2510.10878, Oct.
- Mingqian Guan & Komei Fujita & Naoya Sueishi & Shota Yasui, 2025, "Denoised IPW-Lasso for Heterogeneous Treatment Effect Estimation in Randomized Experiments," Papers, arXiv.org, number 2510.10527, Oct.
- Marcos Delprato & Andres Sandoval-Hernandez, 2025, "Academic resilience in the Latin America region post COVID-19 pandemic -- an explainable machine learning analysis of its determinants and heterogeneity using alternative definitions," Papers, arXiv.org, number 2509.24830, Sep, revised Mar 2026.
- Zofia Bracha & Pawe{l} Sakowski & Jakub Micha'nk'ow, 2025, "Application of Deep Reinforcement Learning to At-the-Money S&P 500 Options Hedging," Papers, arXiv.org, number 2510.09247, Oct.
- Ta-Chung Chi & Ting-Han Fan & Raffaele M. Ghigliazza & Domenico Giannone & Zixuan & Wang, 2025, "Macroeconomic Forecasting and Machine Learning," Papers, arXiv.org, number 2510.11008, Oct.
- Yilie Huang, 2025, "Continuous-Time Reinforcement Learning for Asset-Liability Management," Papers, arXiv.org, number 2509.23280, Sep.
- Mehmet Caner Qingliang Fan, 2025, "A Practitioner's Guide to AI+ML in Portfolio Investing," Papers, arXiv.org, number 2509.25456, Sep.
- Ross Koval & Nicholas Andrews & Xifeng Yan, 2025, "Multimodal Language Models with Modality-Specific Experts for Financial Forecasting from Interleaved Sequences of Text and Time Series," Papers, arXiv.org, number 2509.19628, Sep.
- Haochuan & Wang, 2025, "Forecasting Liquidity Withdraw with Machine Learning Models," Papers, arXiv.org, number 2509.22985, Sep.
- Philipp Bach & Victor Chernozhukov & Carlos Cinelli & Lin Jia & Sven Klaassen & Nils Skotara & Martin Spindler, 2025, "Sensitivity Analysis for Causal ML: A Use Case at Booking.com," Papers, arXiv.org, number 2510.09109, Oct.
- Mohammad Hassan Shakil & Arne Johan Pollestad & Khine Kyaw & Ziaul Haque Munim, 2025, "Board gender diversity and emissions performance: Insights from panel regressions, machine learning, and explainable AI," Papers, arXiv.org, number 2510.00244, Sep, revised Feb 2026.
- Taejin Park & Fernando Perez-Cruz & Hyun Song Shin, 2025, "Mapping the space of central bankers' ideas," BIS Working Papers, Bank for International Settlements, number 1299, Oct.
- Ahad Yaqoob & Syed M. Abdullah, 2025, "Predictive Performance of LSTM Networks on Sectoral Stocks in an Emerging Market: A Case Study of the Pakistan Stock Exchange," Papers, arXiv.org, number 2509.14401, Sep.
- Shanjukta Nath & Jiwon Hong & Jae Ho Chang & Keith Warren & Subhadeep Paul, 2025, "Recidivism and Peer Influence with LLM Text Embeddings in Low Security Correctional Facilities," Papers, arXiv.org, number 2509.20634, Sep, revised Jan 2026.
- George Gui & Seungwoo Kim, 2025, "Leveraging LLMs to Improve Experimental Design: A Generative Stratification Approach," Papers, arXiv.org, number 2509.25709, Sep.
- Yuntao Wu & Ege Mert Akin & Charles Martineau & Vincent Gr'egoire & Andreas Veneris, 2025, "Extracting the Structure of Press Releases for Predicting Earnings Announcement Returns," Papers, arXiv.org, number 2509.24254, Sep, revised Oct 2025.
- Dimitrios Anastasiou & Apostolos G. Katsafados & Steven Ongena & Christos Tzomakas, 2025, "Beyond Words: Fed Chairs' Voice Sentiments and US Bank Stock Price Crash Risk," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 25-72, Sep.