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Report NEP-BIG-2024-05-13
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:
- Kirtac, Kemal & Germano, Guido, 2024, "Sentiment trading with large language models," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 122592, Apr.
- Scott Wentland & Gary Cornwall & Jeremy G. Moulton, 2023, "For What It's Worth: Measuring Land Value in the Era of Big Data and Machine Learning," BEA Papers, Bureau of Economic Analysis, number 0115, Jun.
- Nouhaila Innan & Alberto Marchisio & Mohamed Bennai & Muhammad Shafique, 2024, "QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection," Papers, arXiv.org, number 2404.02595, Apr, revised Jul 2025.
- Sophia Chen & Ryu Matsuura & Mr. Flavien Moreau & Ms. Joana Pereira, 2024, "Harnessing Satellite Data to Improve Social Assistance Targeting in the Eastern Caribbean," IMF Working Papers, International Monetary Fund, number 2024/084, Apr.
- Buda Baji'c & Sr{dj}an Mili'cevi'c & Aleksandar Anti'c & Slobodan Markovi'c & Nemanja Tomi'c, 2024, "Neural Network Modeling for Forecasting Tourism Demand in Stopi\'{c}a Cave: A Serbian Cave Tourism Study," Papers, arXiv.org, number 2404.04974, Apr.
- Giambattista Albora & Matteo Straccamore & Andrea Zaccaria, 2024, "Machine learning-based similarity measure to forecast M&A from patent data," Papers, arXiv.org, number 2404.07179, Apr.
- Yupeng Cao & Zhi Chen & Prashant Kumar & Qingyun Pei & Yangyang Yu & Haohang Li & Fabrizio Dimino & Lorenzo Ausiello & K. P. Subbalakshmi & Papa Momar Ndiaye, 2024, "RiskLabs: Predicting Financial Risk Using Large Language Model based on Multimodal and Multi-Sources Data," Papers, arXiv.org, number 2404.07452, Apr, revised May 2025.
- Artem Kraevskiy & Artem Prokhorov & Evgeniy Sokolovskiy, 2024, "An early warning system for emerging markets," Papers, arXiv.org, number 2404.03319, Apr, revised May 2025.
- Andre Guettler & Mahvish Naeem & Lars Norden & Bernardus F Nazar Van Doornik, 2024, "Pre-publication revisions of bank financial statements: a novel way to monitor banks?," BIS Working Papers, Bank for International Settlements, number 1177, Mar.
- Kapil Panda, 2023, "Artificial Intelligence-based Analysis of Change in Public Finance between US and International Markets," Papers, arXiv.org, number 2403.18823, Dec.
- Lorenc Kapllani & Long Teng, 2024, "A backward differential deep learning-based algorithm for solving high-dimensional nonlinear backward stochastic differential equations," Papers, arXiv.org, number 2404.08456, Apr.
- Sendhil Mullainathan & Ashesh Rambachan, 2024, "From Predictive Algorithms to Automatic Generation of Anomalies," Papers, arXiv.org, number 2404.10111, Apr, revised Sep 2025.
- Fabio Gatti, 2024, "Quantifying Trade from Renaissance Merchant Letters," Working Papers, European Historical Economics Society (EHES), number 0258, Apr.
- Leogrande, Angelo, 2024, "Cultural and Creative Employment Across Italian Regions," MPRA Paper, University Library of Munich, Germany, number 120603, Feb.
- Armand Mihai Cismaru, 2024, "DeepTraderX: Challenging Conventional Trading Strategies with Deep Learning in Multi-Threaded Market Simulations," Papers, arXiv.org, number 2403.18831, Feb.
- FERNANDEZ MACIAS Enrique & SOSTERO Matteo, 2024, "Skewed signals? Confronting biases in Online Job Ads data," JRC Research Reports, Joint Research Centre, number JRC136599, Jan.
- Dayu Yang, 2024, "A Deep Learning Method for Predicting Mergers and Acquisitions: Temporal Dynamic Industry Networks," Papers, arXiv.org, number 2404.07298, Apr, revised Oct 2024.
- Baptiste Lefort & Eric Benhamou & Jean-Jacques Ohana & David Saltiel & Beatrice Guez & Thomas Jacquot, 2024, "Stress index strategy enhanced with financial news sentiment analysis for the equity markets," Papers, arXiv.org, number 2404.00012, Mar.
- Matteo Mogliani & Anna Simoni, 2024, "Bayesian Bi-level Sparse Group Regressions for Macroeconomic Density Forecasting," Papers, arXiv.org, number 2404.02671, Apr, revised Nov 2024.
- Klaus Gründler & Andreas Link, 2024, "Ethnic Inequality and Economic Growth: Evidence from Harmonized Satellite Data," CESifo Working Paper Series, CESifo, number 11034.
- Dat Mai, 2024, "StockGPT: A GenAI Model for Stock Prediction and Trading," Papers, arXiv.org, number 2404.05101, Apr, revised Oct 2024.
- Van Pham & Scott Cunningham, 2024, "Can Base ChatGPT be Used for Forecasting without Additional Optimization?," Papers, arXiv.org, number 2404.07396, Apr, revised Jul 2024.
- Zhenglong Li & Vincent Tam, 2024, "Developing An Attention-Based Ensemble Learning Framework for Financial Portfolio Optimisation," Papers, arXiv.org, number 2404.08935, Apr.
- Sara Fish & Yannai A. Gonczarowski & Ran I. Shorrer, 2024, "Algorithmic Collusion by Large Language Models," Papers, arXiv.org, number 2404.00806, Mar, revised Mar 2026.
- Leland D. Crane & Emily Green & Molly Harnish & Will McClennan & Paul E. Soto & Betsy Vrankovich & Jacob Williams, 2024, "Tracking Real Time Layoffs with SEC Filings: A Preliminary Investigation," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2024-020, Apr, DOI: 10.17016/FEDS.2024.020.