Printed from https://ideas.repec.org/n/nep-big/2024-08-19.html
Report NEP-BIG-2024-08-19
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:
- Jaydip Sen & Hetvi Waghela & Sneha Rakshit, 2024, "Exploring Sectoral Profitability in the Indian Stock Market Using Deep Learning," Papers, arXiv.org, number 2407.01572, May.
- Yuji Shinozaki, 2024, "A Review of New Developments in Finance with Deep Learning: Deep Hedging and Deep Calibration," IMES Discussion Paper Series, Institute for Monetary and Economic Studies, Bank of Japan, number 24-E-02, Apr.
- Trinath Sai Subhash Reddy Pittala & Uma Maheswara R Meleti & Hemanth Vasireddy, 2024, "Unveiling Patterns in European Airbnb Prices: A Comprehensive Analytical Study Using Machine Learning Techniques," Papers, arXiv.org, number 2407.01555, Apr.
- Zhang, Michael PhD & Gao, Hang PhD & Chen, Di & Qi, Yanlin, 2024, "A Data-Driven Approach to Manage High-Occupancy Toll Lanes in California," Institute of Transportation Studies, Working Paper Series, Institute of Transportation Studies, UC Davis, number qt71d0h6hz, Jun.
- João A. Bastos & Fernando Cascão, 2024, "Nonparametric determinants of market Liquidity," Working Papers REM, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa, number 2024/0332, Jul.
- Kumar, Deepak & Weissenberger-Eibl, Marion, 2024, "Artificial Intelligence Driven Trend Forecasting: Integrating BERT Topic Modelling and Generative Artificial Intelligence for Semantic Insights," EconStor Conference Papers, ZBW - Leibniz Information Centre for Economics, number 300545.
- Francisco Peñaranda & Enrique Sentana, 2024, "Portfolio management with big data," Working Papers, CEMFI, number wp2024_2411, Jun.
- Ozili, Peterson K, 2024, "Artificial intelligence and central bank digital currency," MPRA Paper, University Library of Munich, Germany, number 121567.
- Item repec:ags:aaea22:343928 is not listed on IDEAS anymore
- Andrea Carriero & Davide Pettenuzzo & Shubhranshu Shekhar, 2024, "Macroeconomic Forecasting with Large Language Models," Papers, arXiv.org, number 2407.00890, Jun, revised Sep 2025.
- Yi Chen & Hanming Fang & Yi Zhao & Zibo Zhao, 2024, "Recovering Overlooked Information in Categorical Variables with LLMs: An Application to Labor Market Mismatch," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 24-017, Jul.
- Patrick Mellacher & Gernot Lechner, 2024, "Objectifying the Measurement of Voter Ideology with Expert Data," Graz Economics Papers, University of Graz, Department of Economics, number 2024-03, Jan.
- Item repec:ags:aaea22:343766 is not listed on IDEAS anymore
- Abe Dunn & Eric English & Kyle Hood & Lowell Mason & Brian Quistorff, 2024, "Expanding the Frontier of Economic Statistics Using Big Data: A Case Study of Regional Employment," Working Papers, Center for Economic Studies, U.S. Census Bureau, number 24-37, Jul.
- Yasuhiro Hara, 2024, "Dynamic Relationship between Information Dissemination by Local Governors and Mobility during the COVID-19 Pandemic," Discussion papers, Policy Research Institute, Ministry of Finance Japan, number ron373, Jul.
- Lippens, Louis, 2024, "Humans vs GPTs: Bias and validity in hiring decisions," OSF Preprints, Center for Open Science, number zxf5y, Jul, DOI: 10.31219/osf.io/zxf5y.
- Hannes Ullrich & Jonas Hannane & Christian Peukert & Luis Aguiar & Tomaso Duso, 2024, "Returns to Data: Evidence from Web Tracking," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 2091.