Report NEP-BIG-2025-05-05

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• Juan Tenorio & Heidi Alpiste & Jakelin Rem'on & Arian Segil, 2025. "An Artificial Trend Index for Private Consumption Using Google Trends," Papers 2503.21981, arXiv.org.
• Shovon Sengupta & Bhanu Pratap & Amit Pawar, 2025. "Non-linear Phillips Curve for India: Evidence from Explainable Machine Learning," Papers 2504.05350, arXiv.org.
• Jiayin Liu & Chenglong Zhang, 2025. "Deep Learning for Double Auction," Papers 2504.05355, arXiv.org.
• Anindya Sarkar & G. Vadivu, 2025. "An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model," Papers 2503.22192, arXiv.org.
• Andrei Neagu & Fr'ed'eric Godin & Leila Kosseim, 2025. "Deep Reinforcement Learning Algorithms for Option Hedging," Papers 2504.05521, arXiv.org, revised Apr 2025.
• Alvaro Ortiz & Tomasa Rodrigo & David Sarasa & Sirenia Vazquez, 2025. "What Can 240,000 New Credit Transactions Tell Us About the Impact of NGEU Funds?," Papers 2504.01964, arXiv.org, revised Apr 2025.