Report NEP-BIG-2024-12-09

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:

• Angel Varela, 2024. "Achilles, Neural Network to Predict the Gold Vs US Dollar Integration with Trading Bot for Automatic Trading," Papers 2410.21291, arXiv.org, revised Oct 2024.
• Zhao, Yu, 2024. "From Offer to Close: A Machine Learning Approach to Forecast Real Estate Transaction Outcomes," OSF Preprints sxmq2, Center for Open Science.
• Chad Brown, 2024. "Inference in Partially Linear Models under Dependent Data with Deep Neural Networks," Papers 2410.22574, arXiv.org.
• Iva Glišic, 2024. "A comparison of using MIDAS and LSTM models for GDP nowcasting," Working Papers Bulletin 22, National Bank of Serbia.
• Ali Elahi & Fatemeh Taghvaei, 2024. "Combining Financial Data and News Articles for Stock Price Movement Prediction Using Large Language Models," Papers 2411.01368, arXiv.org.
• Quechen Yang, 2024. "Blending Ensemble for Classification with Genetic-algorithm generated Alpha factors and Sentiments (GAS)," Papers 2411.03035, arXiv.org.
• Jesús Fernández-Villaverde & Galo Nuño & Jesse Perla, 2024. "Taming the curse of dimensionality: quantitative economics with deep learning," Working Papers 2444, Banco de España.
• Boris Wolfson & Erman Acar, 2024. "Differentiable Inductive Logic Programming for Fraud Detection," Papers 2410.21928, arXiv.org.
• Chris Lam, 2024. "Debiasing Alternative Data for Credit Underwriting Using Causal Inference," Papers 2410.22382, arXiv.org, revised Oct 2024.
• Matteo Citterio & Marco D'Errico & Gabriele Visentin, 2024. "Conditional Forecasting of Margin Calls using Dynamic Graph Neural Networks," Papers 2410.23275, arXiv.org.
• Mahdi Goldani, 2024. "A Numerical Assessment for Predicting Human Development Index (HDI) Trends in the GCC Countries," Papers 2411.01177, arXiv.org, revised Nov 2024.
• Du, Tianyu & Kanodia, Ayush & Brunborg, Herman & Vafa, Keyon & Athey, Susan, 2024. "Labor-LLM: Language-Based Occupational Representations with Large Language Models," Research Papers 4188, Stanford University, Graduate School of Business.
• Yu, Shubin, 2024. "Using Large Language Models In Short Text Topic Modeling: Model Choice And Sample Size," OSF Preprints mqk3r, Center for Open Science.
• Kentaro Hoshisashi & Carolyn E. Phelan & Paolo Barucca, 2024. "Whack-a-mole Online Learning: Physics-Informed Neural Network for Intraday Implied Volatility Surface," Papers 2411.02375, arXiv.org.
• Shapeng Jiang & Lijia Wei & Chen Zhang, 2024. "Donald Trumps in the Virtual Polls: Simulating and Predicting Public Opinions in Surveys Using Large Language Models," Papers 2411.01582, arXiv.org.
• Hardik Routray & Bernhard Hientzsch, 2024. "Enforcing asymptotic behavior with DNNs for approximation and regression in finance," Papers 2411.05257, arXiv.org.
• Joanna AL JOCMEK & Mazen MOUSSALLEM, 2024. "Combining Managerial Innovation and Artificial Intelligence to Predict Unpaid Patient Bills and Reduce Their Incidence [Combiner l'innovation managériale et l'intelligence artificielle pour prédire," Post-Print hal-04770751, HAL.
• Mirko Djukic, 2024. "Topic classification of economic newspaper articles in a highly inflectional language – the case of Serbia," Working Papers Bulletin 21, National Bank of Serbia.