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Report NEP-BIG-2024-12-23
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:
- Zuo Xiangtai, 2024, "Stata text analysis: Possibilities and limitations," Chinese Stata Conference 2024, Stata Users Group, number 14, Oct.
- Kaushal Attaluri & Mukesh Tripathi & Srinithi Reddy & Shivendra, 2024, "News-Driven Stock Price Forecasting in Indian Markets: A Comparative Study of Advanced Deep Learning Models," Papers, arXiv.org, number 2411.05788, Oct.
- Qianggang Ding & Haochen Shi & Jiadong Guo & Bang Liu, 2024, "TradExpert: Revolutionizing Trading with Mixture of Expert LLMs," Papers, arXiv.org, number 2411.00782, Oct, revised May 2025.
- Kassiani Papasotiriou & Srijan Sood & Shayleen Reynolds & Tucker Balch, 2024, "AI in Investment Analysis: LLMs for Equity Stock Ratings," Papers, arXiv.org, number 2411.00856, Oct.
- Felix Divo & Eric Endress & Kevin Endler & Kristian Kersting & Devendra Singh Dhami, 2024, "Forecasting Company Fundamentals," Papers, arXiv.org, number 2411.05791, Oct, revised Jun 2025.
- Juite Wang, 0000, "Analyzing and Predicting R&D Collaboration Networks in the Metaverse Industry," Proceedings of Economics and Finance Conferences, International Institute of Social and Economic Sciences, number 14716418.
- Anika Tahsin Meem, 2024, "A Deep Learning Approach to Predict the Fall [of Price] of Cryptocurrency Long Before its Actual Fall," Papers, arXiv.org, number 2411.13615, Nov, revised Nov 2024.
- Aleksandr Simonyan, 2024, "BreakGPT: Leveraging Large Language Models for Predicting Asset Price Surges," Papers, arXiv.org, number 2411.06076, Nov.
- Shuoling Liu & Gaoguo Jia & Yuhang Jiang & Liyuan Chen & Qiang Yang, 2024, "Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment," Papers, arXiv.org, number 2411.13599, Nov, revised Jan 2025.
- Godwill Chimamiwa, 2024, "Managing cyber risks in the face of AI- and ML - Driven Adversarial Attacks," SBS Swiss Business School Research Conference (SBS-RC), SBS Swiss Business School, number 006, Oct.
- Harris Borman & Anna Leontjeva & Luiz Pizzato & Max Kun Jiang & Dan Jermyn, 2024, "Do LLM Personas Dream of Bull Markets? Comparing Human and AI Investment Strategies Through the Lens of the Five-Factor Model," Papers, arXiv.org, number 2411.05801, Oct.
- Li Zhanfeng, 2024, "Causal mediation analysis with multiple mediators and censored outcomes by GAN approach," Chinese Stata Conference 2024, Stata Users Group, number 08, Oct.
- Krishna Neupane & Igor Griva, 2024, "A Random Forest approach to detect and identify Unlawful Insider Trading," Papers, arXiv.org, number 2411.13564, Nov.
- Lidia Cano Pecharroman & Melissa O. Tier & Elke U. Weber, 2024, "Feature Importance of Climate Vulnerability Indicators with Gradient Boosting across Five Global Cities," Papers, arXiv.org, number 2411.10628, Nov.
- Bargain, Olivier B. & Vincent, Rose Camille & Caldeira, Emilie, 2024, "Shine a (Night)Light: Decentralization and Economic Development in Burkina Faso," IZA Discussion Papers, IZA Network @ LISER, number 17459, Nov.