Report NEP-BIG-2023-05-15

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:

• Carlos Mendez & Ayush Patnaik, 2023. "Exploring economic activity from outer space: A Python notebook for processing and analyzing satellite nighttime lights," Working Papers 21, xKDR.
• Gutierrez-Lythgoe, Antonio, 2023. "Teletrabajo en Twitter: Análisis mediante Deep Learning [Teleworking on Twitter: Analysis using Deep Learning]," MPRA Paper 117101, University Library of Munich, Germany.
• Gutierrez-Lythgoe, Antonio, 2023. "Movilidad urbana sostenible: Predicción de demanda con Inteligencia Artificial [Sustainable Urban Mobility: Demand Prediction with Artificial Intelligence]," MPRA Paper 117103, University Library of Munich, Germany.
• Costantiello, Alberto & Leogrande, Angelo, 2023. "The Determinants of CO2 Emissions in the Context of ESG Models at World Level," MPRA Paper 117110, University Library of Munich, Germany.
• Foued Sa^adaoui, 2023. "Structured Multifractal Scaling of the Principal Cryptocurrencies: Examination using a Self-Explainable Machine Learning," Papers 2304.08440, arXiv.org.
• Soumyadip Sarkar, 2023. "Quantitative Trading using Deep Q Learning," Papers 2304.06037, arXiv.org.
• Fantazzini, Dean, 2023. "Assessing the Credit Risk of Crypto-Assets Using Daily Range Volatility Models," MPRA Paper 117141, University Library of Munich, Germany.
• Costantiello, Alberto & Leogrande, Angelo, 2023. "The Impact of Research and Development Expenditures on ESG Model in the Global Economy," MPRA Paper 117013, University Library of Munich, Germany.
• Krist'of N'emeth & D'aniel Hadh'azi, 2023. "GDP nowcasting with artificial neural networks: How much does long-term memory matter?," Papers 2304.05805, arXiv.org, revised Jan 2025.
• Mahsa Tavakoli & Rohitash Chandra & Fengrui Tian & Cristi'an Bravo, 2023. "Multi-Modal Deep Learning for Credit Rating Prediction Using Text and Numerical Data Streams," Papers 2304.10740, arXiv.org, revised Nov 2024.
• Daniel Oeltz & Jan Hamaekers & Kay F. Pilz, 2023. "Parameterized Neural Networks for Finance," Papers 2304.08883, arXiv.org.
• Byrne, David & Goodhead, Robert & McMahon, Michael & Parle, Conor, 2023. "Measuring the Temporal Dimension of Text: An Application to Policymaker Speeches," Research Technical Papers 2/RT/23, Central Bank of Ireland.
• Malte Jahn, 2023. "Artificial neural networks and time series of counts: A class of nonlinear INGARCH models," Papers 2304.01025, arXiv.org.
• Artem Lensky & Mingyu Hao, 2023. "Learning to Predict Short-Term Volatility with Order Flow Image Representation," Papers 2304.02472, arXiv.org, revised Mar 2024.
• Costanza Catalano & Andrea Carboni & Claudio Doria, 2023. "How can Big Data improve the quality of tourism statistics? The Bank of Italy's experience in compiling the "travel" item in the Balance of Payments," Questioni di Economia e Finanza (Occasional Papers) 761, Bank of Italy, Economic Research and International Relations Area.
• Alfredo B. Roisenzvit, 2023. "From Euclidean Distance to Spatial Classification: Unraveling the Technology behind GPT Models," CEMA Working Papers: Serie Documentos de Trabajo. 853, Universidad del CEMA.
• Greig Cowan & Salvatore Mercuri & Raad Khraishi, 2023. "Modelling customer lifetime-value in the retail banking industry," Papers 2304.03038, arXiv.org.
• Utkarsh Kumar & David Amaglobeli & Mariano Moszoro, 2023. "Determinants and Social Dividends of Digital Adoption," IMF Working Papers 2023/065, International Monetary Fund.
• Alejandro Lopez-Lira & Yuehua Tang, 2023. "Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models," Papers 2304.07619, arXiv.org, revised Sep 2024.
• Byrne, David & Goodhead, Robert & McMahon, Michael & Parle, Conor, 2023. "The Central Bank Crystal Ball: Temporal information in monetary policy communication," Research Technical Papers 1/RT/23, Central Bank of Ireland.
• Adukia, Anjali & Eble, Alex & Harrison, Emileigh & Runesha, Hakizumwami Birali & Szasz, Teodora, 2023. "What We Teach about Race and Gender: Representation in Images and Text of Children's Books," IZA Discussion Papers 16058, Institute of Labor Economics (IZA).
• Donia Kamel & Laura Pollacci, 2023. "Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain," CESifo Working Paper Series 10377, CESifo.
• Taeyoung Doh & Joseph W. Gruber & Dongho Song, 2022. "Leaning Against the Data: Policymaker Communications under State-Based Forward Guidance," Research Working Paper RWP 22-11, Federal Reserve Bank of Kansas City.
• Dirk Bergemann & Alessandro Bonatti, 2023. "Data, Competition, and Digital Platforms," Papers 2304.07653, arXiv.org.