Report NEP-BIG-2023-06-19

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:

• Agam Shah & Suvan Paturi & Sudheer Chava, 2023. "Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis," Papers 2305.07972, arXiv.org.
• Nordmeyer, Eike Florenz, 2023. "German farmers' perceived usefulness of satellite-based index insurance - Insights from a transtheoretical model," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334557, Agricultural Economics Society - AES.
• Perico Ortiz, Daniel & Schnaubelt, Matthias & Seifert, Oleg, 2023. "A topic modeling perspective on investor uncertainty," FAU Discussion Papers in Economics 04/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
• Lin An & Andrew A. Li & Benjamin Moseley & R. Ravi, 2023. "The Nonstationary Newsvendor with (and without) Predictions," Papers 2305.07993, arXiv.org, revised Jul 2024.
• Pierre Durand & Gaëtan Le Quang & Arnold Vialfont, 2023. "Are Basel III requirements up to the task? Evidence from bankruptcy prediction models," Working Papers 2308, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
• Benatti, Nicola & Groiss, Martin & Kelly, Petra & Lopez-Garcia, Paloma, 2023. "Environmental regulation and productivity growth in the euro area: testing the Porter hypothesis," Working Paper Series 2820, European Central Bank.
• Jia Xu & Longbing Cao, 2023. "Copula Variational LSTM for High-dimensional Cross-market Multivariate Dependence Modeling," Papers 2305.08778, arXiv.org.
• Nicolas Ameye, 2023. "Essays on the Adoption and Diffusion of Big Data Analytics and Artificial Intelligence Technology," ULB Institutional Repository 2013/358706, ULB -- Universite Libre de Bruxelles.
• Fridgen, Gilbert & Kräussl, Roman & Papageorgiou, Orestis & Tugnetti, Alessandro, 2023. "The fundamental value of art NFTs," CFS Working Paper Series 709, Center for Financial Studies (CFS).
• Sarah Robinson & Alisa Tazhitdinova, 2023. "What Drives Tax Policy? Political, Institutional and Economic Determinants of State Tax Policy," NBER Working Papers 31268, National Bureau of Economic Research, Inc.
• Linyi Yang & Yingpeng Ma & Yue Zhang, 2023. "Measuring Consistency in Text-based Financial Forecasting Models," Papers 2305.08524, arXiv.org, revised Jun 2023.
• Julien Pascal, 2023. "Artificial neural networks to solve dynamic programming problems: A bias-corrected Monte Carlo operator," BCL working papers 172, Central Bank of Luxembourg.
• Jonas Tallberg & Eva Erman & Markus Furendal & Johannes Geith & Mark Klamberg & Magnus Lundgren, 2023. "The Global Governance of Artificial Intelligence: Next Steps for Empirical and Normative Research," Papers 2305.11528, arXiv.org.
• Gimpel, Henner & Hall, Kristina & Decker, Stefan & Eymann, Torsten & Lämmermann, Luis & Mädche, Alexander & Röglinger, Maximilian & Ruiner, Caroline & Schoch, Manfred & Schoop, Mareike & Urbach, Nils , 2023. "Unlocking the power of generative AI models and systems such as GPT-4 and ChatGPT for higher education: A guide for students and lecturers," Hohenheim Discussion Papers in Business, Economics and Social Sciences 02-2023, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
• Kyra Hanemaaijer & Olivier Marie & Marco Musumeci, 2023. "The Fast and The Studious? Ramadan Observance and Student Performance," Tinbergen Institute Discussion Papers 23-023/V, Tinbergen Institute.
• Sheng Xiang & Dawei Cheng & Chencheng Shang & Ying Zhang & Yuqi Liang, 2023. "Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction," Papers 2305.08740, arXiv.org.
• Brown, David P. & Cajueiro, Daniel O. & Eckert, Andrew & Silveira, Douglas, 2023. "Information and Transparency: Using Machine Learning to Detect Communication," Working Papers 2023-6, University of Alberta, Department of Economics.
• Niklas Mueller & Steffen Klug & Andreas Koenig & Alexander Kathan & Lukas Christ & Bjoern Schuller & Shahin Amiriparian, 2023. "Executive Voiced Laughter and Social Approval: An Explorative Machine Learning Study," Papers 2305.09485, arXiv.org, revised May 2023.
• Borisenko Georgy, 2023. "Using neural networks to predict the value of stocks based on news data," Working Papers 0055, Moscow State University, Faculty of Economics.
• Khezr, Peyman & Pourkhanali, Armin, 2023. "An investigation of auctions in the Regional Greenhouse Gas Initiative," MPRA Paper 117267, University Library of Munich, Germany.
• Ölkers, Tim & Liu, Shuang & Mußhoff, Oliver, 2023. "A typology of Malian farmers and their credit repayment performance - An unsupervised machine learning approach," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334547, Agricultural Economics Society - AES.
• Chen, Yutong & Chiplunkar, Gaurav & Sekhri, Sheetal & Sen, Anirban & Seth, Aaditeshwar, 2023. "How Do Political Connections of Firms Matter during an Economic Crisis?," IZA Discussion Papers 16131, Institute of Labor Economics (IZA).
• Zikai Wei & Bo Dai & Dahua Lin, 2023. "E2EAI: End-to-End Deep Learning Framework for Active Investing," Papers 2305.16364, arXiv.org.
• Claire Greene & Oz Shy & Joanna Stavins, 2023. "Personality Traits and Financial Outcomes," Working Papers 23-4, Federal Reserve Bank of Boston.
• Kim, Minho & Han, Jaepil, 2022. "Can artificial intelligence improve the effectiveness of government support policies?," KDI Policy Forum 288, Korea Development Institute (KDI).
• Nasir, Nida & Kansal, Afreen & Alshaltone, Omar & Barneih, Feras & Shanableh, Abdallah & Al-Shabi, Mohammad & Al Shammaa, Ahmed, 2023. "Deep learning detection of types of water-bodies using optical variables and ensembling," LSE Research Online Documents on Economics 118724, London School of Economics and Political Science, LSE Library.
• Agam Shah & Sudheer Chava, 2023. "Zero is Not Hero Yet: Benchmarking Zero-Shot Performance of LLMs for Financial Tasks," Papers 2305.16633, arXiv.org.