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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 (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:
- 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, Monash University, SoDa Laboratories, number 2023-01, Apr.
- Cavaillé, Charlotte & Van Der Straeten, Karine & Chen, Daniel L., 2023, "Willingness to Say? Optimal Survey Design for Prediction," TSE Working Papers, Toulouse School of Economics (TSE), number 23-1424, Apr.
- Sung Wook Hong & Seong-hwan Min, 2021, "Market Analysis of Key Manufacturing Segments Using News Data," Research Papers, Korea Institute for Industrial Economics and Trade, number 21/8, May.
- Laura Felber & Simon Beyeler, 2023, "Nowcasting economic activity using transaction payments data," Working Papers, Swiss National Bank, number 2023-01.
- Charlotte Cavaillé & Karine van Der Straeten & Daniel L. Chen, 2023, "Willingness to Say? Optimal Survey Design for Prediction," Working Papers, HAL, number hal-04062637, Apr.
- 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, arXiv.org, number 2303.16585, Mar, revised Nov 2023.
- Jianfei Zhang & Mathieu Rosenbaum, 2023, "Towards systematic intraday news screening: a liquidity-focused approach," Papers, arXiv.org, number 2304.05115, Apr.
- Min Hu & Zhizhong Tan & Bin Liu & Guosheng Yin, 2023, "Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network," Papers, arXiv.org, number 2303.16532, Mar, revised Dec 2023.
- Mohamed Hamdouche & Pierre Henry-Labordere & Huy^en Pham, 2023, "Generative modeling for time series via Schr{\"o}dinger bridge," Papers, arXiv.org, number 2304.05093, Apr.
- Jonathan Acosta-Smith & Benjamin Guin & Mauricio Salgado-Moreno & Quynh-Anh Vo, 2023, "Understanding climate-related disclosures of UK financial institutions," Bank of England working papers, Bank of England, number 1017, Mar.
- Murray Z. Frank & Jing Gao & Keer Yang, 2023, "Behavioral Machine Learning? Regularization and Forecast Bias," Papers, arXiv.org, number 2303.16158, Mar, revised Dec 2025.
- Marie Obidzinski & Yves Oytana, 2022, "Prediction, human decision and liability rules, CRED Working paper No 2022-06," Working Papers, HAL, number hal-04034871, Nov.
- Rasoul Amirzadeh & Asef Nazari & Dhananjay Thiruvady & Mong Shan Ee, 2023, "Causal Modelling of Cryptocurrency Price Movements Using Discretisation-Aware Bayesian Networks," Papers, arXiv.org, number 2303.16148, Mar, revised Aug 2025.
- Costantiello, Alberto & Leogrande, Angelo, 2023, "The Role of Political Stability in the Context of ESG Models at World Level," MPRA Paper, University Library of Munich, Germany, number 116887, Apr.
- Davood Pirayesh Neghab & Mucahit Cevik & M. I. M. Wahab, 2023, "Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning," Papers, arXiv.org, number 2303.16149, Mar.
- Lin Chen & Stephanie Houle, 2023, "Turning Words into Numbers: Measuring News Media Coverage of Shortages," Discussion Papers, Bank of Canada, number 2023-8, Mar, DOI: 10.34989/sdp-2023-8.
- 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, arXiv.org, number 2304.05297, Apr, 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, arXiv.org, number 2304.05351, Apr, 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, arXiv.org, number 2303.17564, Mar, revised Dec 2023.
- Abhishek Arora & Xinmei Yang & Shao-Yu Jheng & Melissa Dell, 2023, "Linking Representations with Multimodal Contrastive Learning," Papers, arXiv.org, number 2304.03464, Apr, revised Jun 2024.
- Maximilian Tschuchnig & Petra Tschuchnig & Cornelia Ferner & Michael Gadermayr, 2023, "Inflation forecasting with attention based transformer neural networks," Papers, arXiv.org, number 2303.15364, Mar, 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, University Library of Munich, Germany, number 116771, revised 2023.
- Zhen Zeng & Rachneet Kaur & Suchetha Siddagangappa & Saba Rahimi & Tucker Balch & Manuela Veloso, 2023, "Financial Time Series Forecasting using CNN and Transformer," Papers, arXiv.org, number 2304.04912, Apr.
- Marlon Azinovic & Jan v{Z}emliv{c}ka, 2023, "Economics-Inspired Neural Networks with Stabilizing Homotopies," Papers, arXiv.org, number 2303.14802, Mar.