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Report NEP-BIG-2026-06-29
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:
- Xintong Wu & Peiting Tsai & Jing Yuan & Michael Yu & Greg Sun & Luyao Zhang, 2026, "Leveraging Large Language Models for Sentiment Analysis: Multi-Modal Analysis of Decentraland's MANA Token," Papers, arXiv.org, number 2605.20192, Apr.
- Manuel Noseda & Nathan Soldati & Marco Paina, 2026, "Predicting Stock Price Direction on Earnings Announcement Days using Multi-modal Deep Learning," Papers, arXiv.org, number 2605.25894, May.
- Griebsch, Susanne & Röthig, Andreas, 2026, "Bivariate sudden stop analysis of equity and bond fund flows to emerging markets using isolation forest," Discussion Papers, Deutsche Bundesbank, number 15/2026, DOI: 10.71734/DP-2026-15.
- Pierre Brugière & Gabriel Turinici, 2026, "Model-Free Deep Hedging with Transaction Costs and Light and Augmented Data Methods," Post-Print, HAL, number hal-05642615, Jun.
- Marie Soehl Coolsaet & Roberto Gallardo & Zhen Gao, 2026, "From Index to Equity: Pre-Training Transformers for Stock Return Prediction," Papers, arXiv.org, number 2605.23962, May.
- Hainaut, Donatien, 2026, "Explaining Regional Mortality Differences with an Economic-Neural Model: Evidence from European NUTS-2 Regions," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2026009, Apr.
- Yiqing Wang & Dehao Dai & Ding Ma & Kerui Geng, 2026, "Macro Economists in the Machine: A Multi-Agent LLM Framework for Commodity-Related ETF Portfolio Construction," Papers, arXiv.org, number 2606.08283, Jun.
- Achintya Ranjan & Uma Ranjan, 2026, "Differing Roles of Leisure and Productivity in GDP - A Machine Learning based comparative analysis of Germany and USA," Papers, arXiv.org, number 2606.01234, May.
- Magdalena Cornejo & Walter Sosa Escudero, 2026, "Machine Learning and Shrinkage in Dynamic Panel Forecasting," Working Papers, Universidad de San Andres, Departamento de Economia, number 183, May, revised May 2026.
- Pablo Rodriguez Manzi, 2026, "Volatility Surface Reconstruction using Deep Learning under No-Arbitrage Constraints," Papers, arXiv.org, number 2605.24031, May.
- John R. Graham & Campbell R. Harvey & Manish Jha, 2026, "CFOs Meet LLMs," Papers, arXiv.org, number 2606.13812, Jun.
- Antoine Pesenti & Aidan O'Sullivan, 2026, "Analysing drivers and interdependencies in European electricity markets using XAI," Papers, arXiv.org, number 2606.19118, Jun.