Report NEP-BIG-2023-05-01

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.

Subscribe to this report: email, RSS, or Mastodon, or Bluesky.

Other reports in NEP-BIG

The following items were announced in this report:

• David H. Kreitmeir & Paul A. Raschky, 2023. "The Unintended Consequences of Censoring Digital Technology - Evidence from Italy's ChatGPT Ban," SoDa Laboratories Working Paper Series 2023-01, Monash University, SoDa Laboratories.
• Cavaillé, Charlotte & Van Der Straeten, Karine & Chen, Daniel L., 2023. "Willingness to Say? Optimal Survey Design for Prediction," TSE Working Papers 23-1424, Toulouse School of Economics (TSE).
• Hong, Sung Wook & Min, Seong-hwan, 2021. "Market Analysis of Key Manufacturing Segments Using News Data," Research Papers 21/8, Korea Institute for Industrial Economics and Trade.
• Laura Felber & Simon Beyeler, 2023. "Nowcasting economic activity using transaction payments data," Working Papers 2023-01, Swiss National Bank.
• Charlotte Cavaillé & Karine van Der Straeten & Daniel L. Chen, 2023. "Willingness to Say? Optimal Survey Design for Prediction," Working Papers hal-04062637, HAL.
• El Amine Cherrat & Snehal Raj & Iordanis Kerenidis & Abhishek Shekhar & Ben Wood & Jon Dee & Shouvanik Chakrabarti & Richard Chen & Dylan Herman & Shaohan Hu & Pierre Minssen & Ruslan Shaydulin & Yue , 2023. "Quantum Deep Hedging," Papers 2303.16585, arXiv.org, revised Nov 2023.
• Jianfei Zhang & Mathieu Rosenbaum, 2023. "Towards systematic intraday news screening: a liquidity-focused approach," Papers 2304.05115, arXiv.org.
• Min Hu & Zhizhong Tan & Bin Liu & Guosheng Yin, 2023. "Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network," Papers 2303.16532, arXiv.org, revised Dec 2023.
• Mohamed Hamdouche & Pierre Henry-Labordere & Huy^en Pham, 2023. "Generative modeling for time series via Schr{\"o}dinger bridge," Papers 2304.05093, arXiv.org.
• Acosta-Smith, Jonathan & Guin, Benjamin & Salgado-Moreno, Mauricio & Vo, Quynh-Anh, 2023. "Understanding climate-related disclosures of UK financial institutions," Bank of England working papers 1017, Bank of England.
• Murray Z. Frank & Jing Gao & Keer Yang, 2023. "Behavioral Machine Learning? Computer Predictions of Corporate Earnings also Overreact," Papers 2303.16158, arXiv.org.
• Marie Obidzinski & Yves Oytana, 2022. "Prediction, human decision and liability rules, CRED Working paper No 2022-06," Working Papers hal-04034871, HAL.
• Rasoul Amirzadeh & Asef Nazari & Dhananjay Thiruvady & Mong Shan Ee, 2023. "Modelling Determinants of Cryptocurrency Prices: A Bayesian Network Approach," Papers 2303.16148, arXiv.org.
• Costantiello, Alberto & Leogrande, Angelo, 2023. "The Role of Political Stability in the Context of ESG Models at World Level," MPRA Paper 116887, University Library of Munich, Germany.
• Davood Pirayesh Neghab & Mucahit Cevik & M. I. M. Wahab, 2023. "Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning," Papers 2303.16149, arXiv.org.
• Lin Chen & Stephanie Houle, 2023. "Turning Words into Numbers: Measuring News Media Coverage of Shortages," Discussion Papers 2023-8, Bank of Canada.
• Chendi Ni & Yuying Li & Peter A. Forsyth, 2023. "Neural Network Approach to Portfolio Optimization with Leverage Constraints:a Case Study on High Inflation Investment," Papers 2304.05297, arXiv.org, revised May 2023.
• Qianqian Xie & Weiguang Han & Yanzhao Lai & Min Peng & Jimin Huang, 2023. "The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges," Papers 2304.05351, arXiv.org, revised Apr 2023.
• Shijie Wu & Ozan Irsoy & Steven Lu & Vadim Dabravolski & Mark Dredze & Sebastian Gehrmann & Prabhanjan Kambadur & David Rosenberg & Gideon Mann, 2023. "BloombergGPT: A Large Language Model for Finance," Papers 2303.17564, arXiv.org, revised Dec 2023.
• Abhishek Arora & Xinmei Yang & Shao-Yu Jheng & Melissa Dell, 2023. "Linking Representations with Multimodal Contrastive Learning," Papers 2304.03464, arXiv.org, revised Jun 2024.
• Maximilian Tschuchnig & Petra Tschuchnig & Cornelia Ferner & Michael Gadermayr, 2023. "Inflation forecasting with attention based transformer neural networks," Papers 2303.15364, arXiv.org, revised Mar 2023.
• Larosa, Francesca & Mysiak, Jaroslav & Molinari, Marco & Varelas, Panagiotis & Akay, Haluk & McDowall, Will & Spadaru, Catalina & Fuso-Nerini, Francesco & Vinuesa, Ricardo, 2023. "Closing the gap between research and projects in climate change innovation in Europe," MPRA Paper 116771, University Library of Munich, Germany, revised 2023.
• Zhen Zeng & Rachneet Kaur & Suchetha Siddagangappa & Saba Rahimi & Tucker Balch & Manuela Veloso, 2023. "Financial Time Series Forecasting using CNN and Transformer," Papers 2304.04912, arXiv.org.
• Marlon Azinovic & Jan v{Z}emliv{c}ka, 2023. "Economics-Inspired Neural Networks with Stabilizing Homotopies," Papers 2303.14802, arXiv.org.