Report NEP-BIG-2024-10-28
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.
Other reports in NEP-BIG
The following items were announced in this report:
- Sukjin Han, 2024. "Mining Causality: AI-Assisted Search for Instrumental Variables," Papers 2409.14202, arXiv.org, revised Nov 2024.
- Sahar Arshad & Nikhar Azhar & Sana Sajid & Seemab Latif & Rabia Latif, 2024. "Cross-Lingual News Event Correlation for Stock Market Trend Prediction," Papers 2410.00024, arXiv.org.
- Ryan Y. Lin & Siddhartha Ojha & Kevin Cai & Maxwell F. Chen, 2024. "Strategic Collusion of LLM Agents: Market Division in Multi-Commodity Competitions," Papers 2410.00031, arXiv.org.
- Xiang Li & Lan Zhao & Junhao Ren & Yajuan Sun & Chuan Fu Tan & Zhiquan Yeo & Gaoxi Xiao, 2024. "A Unified Framework to Classify Business Activities into International Standard Industrial Classification through Large Language Models for Circular Economy," Papers 2409.18988, arXiv.org.
- Kyungsub Lee, 2024. "Price predictability in limit order book with deep learning model," Papers 2409.14157, arXiv.org.
- Bingyao Liu & Iris Li & Jianhua Yao & Yuan Chen & Guanming Huang & Jiajing Wang, 2024. "Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment," Papers 2409.17909, arXiv.org.
- Daniele Condorelli & Massimiliano Furlan, 2024. "Deep Learning to Play Games," Papers 2409.15197, arXiv.org.
- John Phan & Hung-Fu Chang, 2024. "Leveraging Fundamental Analysis for Stock Trend Prediction for Profit," Papers 2410.03913, arXiv.org.
- Fabian Billert & Stefan Conrad, 2024. "A Framework for the Construction of a Sentiment-Driven Performance Index: The Case of DAX40," Papers 2409.20397, arXiv.org.
- Damelang, Andreas & Rückel, Ann-Katrin & Stops, Michael, 2024. "Gender Stereotyping in the Labor Market: A Descriptive Analysis of Almost One Million Job Ads across 710 Occupations and Occupational Positions," IAB-Discussion Paper 202413, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Zhengxin Joseph Ye & Bjoern Schuller, 2024. "Trading through Earnings Seasons using Self-Supervised Contrastive Representation Learning," Papers 2409.17392, arXiv.org.
- Zeda Xu & John Liechty & Sebastian Benthall & Nicholas Skar-Gislinge & Christopher McComb, 2024. "GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets," Papers 2410.00288, arXiv.org.
- Buczak, Philip, 2024. "Mixed-Effects Frequency-Adjusted Borders Ordinal Forest: A Tree Ensemble Method for Ordinal Prediction with Hierarchical Data," OSF Preprints ny6we, Center for Open Science.
- John Armstrong & George Tatlow, 2024. "Deep Gamma Hedging," Papers 2409.13567, arXiv.org.
- Pascal Kundig & Fabio Sigrist, 2024. "A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk: Default Probabilities and Loan Portfolios," Papers 2410.02846, arXiv.org.
- Fricker, Nicolai Benjamin & Krüger, Nicolai & Schubart, Constantin, 2024. "Learning to play Sokoban from videos," IU Discussion Papers - IT & Engineering 3 (Oktober 2024), IU International University of Applied Sciences.
- Shuaiyu Chen & T. Clifton Green & Huseyin Gulen & Dexin Zhou, 2024. "What Does ChatGPT Make of Historical Stock Returns? Extrapolation and Miscalibration in LLM Stock Return Forecasts," Papers 2409.11540, arXiv.org.
- Köbis, Nils & Rahwan, Zoe & Bersch, Clara & Ajaj, Tamer & Bonnefon, Jean-François & Rahwan, Iyad, 2024. "Experimental evidence that delegating to intelligent machines can increase dishonest behaviour," OSF Preprints dnjgz, Center for Open Science.
- Ananya Unnikrishnan, 2024. "American Call Options Pricing With Modular Neural Networks," Papers 2409.19706, arXiv.org.
- Masanori Hirano & Kentaro Imajo, 2024. "The Construction of Instruction-tuned LLMs for Finance without Instruction Data Using Continual Pretraining and Model Merging," Papers 2409.19854, arXiv.org.
- Diego Vallarino, 2024. "Machine Learning and Econometric Approaches to Fiscal Policies: Understanding Industrial Investment Dynamics in Uruguay (1974-2010)," Papers 2410.00002, arXiv.org.