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Report NEP-CMP-2024-12-23
This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stanley Miles issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-CMP
The following items were announced in this report:
- Item repec:pra:mprapa:122514 is not listed on IDEAS anymore
- Xianhua Peng & Steven Kou & Lekang Zhang, 2024, "A Machine Learning Algorithm for Finite-Horizon Stochastic Control Problems in Economics," Papers, arXiv.org, number 2411.08668, Nov, revised Dec 2024.
- 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.
- 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.
- Nane Davtyan, 2024, "AI in Consumer Behavior Analysis and Digital Marketing: A Strategic Approach," SBS Swiss Business School Research Conference (SBS-RC), SBS Swiss Business School, number 005, 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.
- 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.
- Neha Sanjay Ahuja, 2024, "AI-Driven Decision Making in Management," SBS Swiss Business School Research Conference (SBS-RC), SBS Swiss Business School, number 001, 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.
- Dawei Cheng & Yao Zou & Sheng Xiang & Changjun Jiang, 2024, "Graph Neural Networks for Financial Fraud Detection: A Review," Papers, arXiv.org, number 2411.05815, Oct, revised Nov 2024.
- Leogrande, Angelo, 2024, "Strategie innovative per la logistica: il valore del kitting e assembly nel settore idrotermosanitario," MPRA Paper, University Library of Munich, Germany, number 122746.
- Zuo Xiangtai, 2024, "Stata text analysis: Possibilities and limitations," Chinese Stata Conference 2024, Stata Users Group, number 14, Oct.
- Yan-Feng Wu & Jian-Qiang Hu, 2024, "ajdmom: A Python Package for Deriving Moment Formulas of Affine Jump Diffusion Processes," Papers, arXiv.org, number 2411.06484, Nov, revised Apr 2025.
- Orhan Erdem & Kristi Hassett & Feyzullah Egriboyun, 2024, "Evaluating the Accuracy of Chatbots in Financial Literature," Papers, arXiv.org, number 2411.07031, Nov.