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Report NEP-BIG-2024-05-06
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:
- Silvia Garc'ia-M'endez & Francisco de Arriba-P'erez & Ana Barros-Vila & Francisco J. Gonz'alez-Casta~no, 2024, "Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning," Papers, arXiv.org, number 2404.01337, Mar.
- Hoang Hiep Nguyen & Jean-Laurent Viviani & Sami Ben Jabeur, 2023, "Bankruptcy prediction using machine learning and Shapley additive explanations," Post-Print, HAL, number hal-04223161, DOI: 10.1007/s11156-023-01192-x.
- Enmin Zhu & Jerome Yen, 2024, "BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights," Papers, arXiv.org, number 2404.02053, Apr, revised Apr 2024.
- Silvia Garc'ia-M'endez & Francisco de Arriba-P'erez & Ana Barros-Vila & Francisco J. Gonz'alez-Casta~no & Enrique Costa-Montenegro, 2024, "Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation," Papers, arXiv.org, number 2404.01338, Mar.
- Jai Pal, 2024, "Long Short-Term Memory Pattern Recognition in Currency Trading," Papers, arXiv.org, number 2403.18839, Feb.
- Javier Mancilla & Andr'e Sequeira & Tomas Tagliani & Francisco Llaneza & Claudio Beiza, 2024, "Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning," Papers, arXiv.org, number 2404.00015, Mar, revised Apr 2024.
- Mari Sakudo, 2024, "Do Socially Responsible Firms Disclosure to Signal?," Working Papers, Tokyo Center for Economic Research, number e204, Apr.
- Evangelia Dragazi & Shuaiqiang Liu & Antonis Papapantoleon, 2024, "Improved model-free bounds for multi-asset options using option-implied information and deep learning," Papers, arXiv.org, number 2404.02343, Apr.
- Nolan Alexander & William Scherer, 2024, "Using Machine Learning to Forecast Market Direction with Efficient Frontier Coefficients," Papers, arXiv.org, number 2404.00825, Mar, revised Apr 2026.
- Denis Levchenko & Efstratios Rappos & Shabnam Ataee & Biagio Nigro & Stephan Robert-Nicoud, 2024, "Chain-structured neural architecture search for financial time series forecasting," Papers, arXiv.org, number 2403.14695, Mar, revised Dec 2024.
- Yejin Kim & Youngbin Lee & Minyoung Choe & Sungju Oh & Yongjae Lee, 2024, "Temporal Graph Networks for Graph Anomaly Detection in Financial Networks," Papers, arXiv.org, number 2404.00060, Mar.
- Giorgos Foutzopoulos & Nikolaos Pandis & Michail Tsagris, 2024, "Predicting Full Retirement Attainment of NBA Players," Working Papers, University of Crete, Department of Economics, number 2403, Apr.
- Francesco Bianchi & Sydney C. Ludvigson & Sai Ma, 2024, "What Hundreds of Economic News Events Say About Belief Overreaction in the Stock Market," NBER Working Papers, National Bureau of Economic Research, Inc, number 32301, Apr.
- Item repec:fip:fedcwq:98080 is not listed on IDEAS anymore
- Bartosz Bieganowski & Robert Slepaczuk, 2024, "Supervised Autoencoder MLP for Financial Time Series Forecasting," Papers, arXiv.org, number 2404.01866, Apr, revised Jun 2024.
- Arkadiusz Lipiecki & Bartosz Uniejewski & Rafa{l} Weron, 2024, "Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression," Papers, arXiv.org, number 2404.02270, Apr, revised Oct 2024.
- Domonkos F. Vamossy, 2024, "Social Media Emotions and Market Behavior," Papers, arXiv.org, number 2404.03792, Apr.
- Ganglmair, Bernhard & Krämer, Julia & Gambato, Jacopo, 2024, "Regulatory compliance with limited enforceability: Evidence from privacy policies," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 24-012.
- Debarati Chakraborty & Ravi Ranjan, 2024, "Missing Data Imputation With Granular Semantics and AI-driven Pipeline for Bankruptcy Prediction," Papers, arXiv.org, number 2404.00013, Mar.
- Lei, Yunliang, 2024, "Enhancing environmental management through big data: spatial analysis of urban ecological governance and big data development," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 122571, Mar.
- Minghao Qiu & Jessica Li & Carlos F. Gould & Renzhi Jing & Makoto Kelp & Marissa Childs & Mathew Kiang & Sam Heft-Neal & Noah Diffenbaugh & Marshall Burke, 2024, "Mortality Burden From Wildfire Smoke Under Climate Change," NBER Working Papers, National Bureau of Economic Research, Inc, number 32307, Apr.
- Gschnaidtner, Christoph & Dehghan, Robert & Hottenrott, Hanna & Schwierzy, Julian, 2024, "Adoption and diffusion of blockchain technology," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 24-018.
- Lei Bill Wang & Zhenbang Jiao & Om Prakash Bedant & Haoran Wang, 2024, "Balancing Efficiency and Equity in Classroom Assignment under Endogenous Peer Effects," Papers, arXiv.org, number 2404.02497, Apr, revised Jun 2025.
- Masanori Hirano, 2024, "Construction of a Japanese Financial Benchmark for Large Language Models," Papers, arXiv.org, number 2403.15062, Mar.
- Pedro Afonso Fernandes, 2024, "Forecasting with Neuro-Dynamic Programming," Papers, arXiv.org, number 2404.03737, Apr.
- Boeing, Philipp & Brandt, Loren & Dai, Ruochen & Lim, Kevin & Peters, Bettina, 2024, "The anatomy of Chinese innovation: Insights on patent quality and ownership," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 24-016.