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 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:

• Jaydip Sen & Hetvi Waghela & Sneha Rakshit, 2024. "Exploring Sectoral Profitability in the Indian Stock Market Using Deep Learning," Papers 2407.01572, arXiv.org.
• Yuji Shinozaki, 2024. "A Review of New Developments in Finance with Deep Learning: Deep Hedging and Deep Calibration," IMES Discussion Paper Series 24-E-02, Institute for Monetary and Economic Studies, Bank of Japan.
• 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 2407.01555, arXiv.org.
• 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 qt71d0h6hz, Institute of Transportation Studies, UC Davis.
• João A. Bastos & Fernando Cascão, 2024. "Nonparametric determinants of market Liquidity," Working Papers REM 2024/0332, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
• 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 300545, ZBW - Leibniz Information Centre for Economics.
• Francisco Peñaranda & Enrique Sentana, 2024. "Portfolio management with big data," Working Papers wp2024_2411, CEMFI.
• Ozili, Peterson K, 2024. "Artificial intelligence and central bank digital currency," MPRA Paper 121567, University Library of Munich, Germany.
• Calil, Yuri Clements Daglia, 2024. "Cattle Prices Under Arid Conditions: Hedonic and Neural Network Approach," 2024 Annual Meeting, July 28-30, New Orleans, LA 343928, Agricultural and Applied Economics Association.
• Andrea Carriero & Davide Pettenuzzo & Shubhranshu Shekhar, 2024. "Macroeconomic Forecasting with Large Language Models," Papers 2407.00890, arXiv.org.
• 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 24-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
• Patrick Mellacher & Gernot Lechner, 2024. "Objectifying the Measurement of Voter Ideology with Expert Data," Graz Economics Papers 2024-03, University of Graz, Department of Economics.
• Wardle, Arthur R. & Bruno, Ellen, 2024. "Model Estimation using Categorical Satellite Data with Misclassification," 2024 Annual Meeting, July 28-30, New Orleans, LA 343766, Agricultural and Applied Economics Association.
• 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 24-37, Center for Economic Studies, U.S. Census Bureau.
• Yasuhiro Hara, "undated". "Dynamic Relationship between Information Dissemination by Local Governors and Mobility during the COVID-19 Pandemic," Discussion papers ron373, Policy Research Institute, Ministry of Finance Japan.
• Lippens, Louis, 2024. "Humans vs GPTs: Bias and validity in hiring decisions," OSF Preprints zxf5y, Center for Open Science.
• Hannes Ullrich & Jonas Hannane & Christian Peukert & Luis Aguiar & Tomaso Duso, 2024. "Returns to Data: Evidence from Web Tracking," Discussion Papers of DIW Berlin 2091, DIW Berlin, German Institute for Economic Research.