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Report NEP-CMP-2024-10-21
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:
- Tejas Ramdas & Martin T. Wells, 2024, "Bellwether Trades: Characteristics of Trades influential in Predicting Future Price Movements in Markets," Papers, arXiv.org, number 2409.05192, Sep.
- Chen Qiang, 2024, "Double machine learning and Stata application," Chinese Stata Conference 2023, Stata Users Group, number 03, Oct.
- Boris Ter-Avanesov & Homayoon Beigi, 2024, "MLP, XGBoost, KAN, TDNN, and LSTM-GRU Hybrid RNN with Attention for SPX and NDX European Call Option Pricing," Papers, arXiv.org, number 2409.06724, Aug, revised Oct 2024.
- Anthony Coache & Sebastian Jaimungal, 2024, "Robust Reinforcement Learning with Dynamic Distortion Risk Measures," Papers, arXiv.org, number 2409.10096, Sep, revised Sep 2025.
- Kevin Cedric Guyard & Michel Deriaz, 2024, "Predicting Foreign Exchange EUR/USD direction using machine learning," Papers, arXiv.org, number 2409.04471, Sep, revised Oct 2024.
- Kim, Hayeon & Lee, Sang Woo & Seo, Sungwoo, 2024, "Strategies for Addressing Hallucinations in Generative AI: Exploring the Roles of Politeness, Attribution, and Anthropomorphism," 24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies, International Telecommunications Society (ITS), number 302511.
- Neel Rajani & Lilli Kiessling & Aleksandr Ogaltsov & Claus Lang, 2024, "KodeXv0.1: A Family of State-of-the-Art Financial Large Language Models," Papers, arXiv.org, number 2409.13749, Sep.
- Zhengyang Chi & Junbin Gao & Chao Wang, 2024, "Global Stock Market Volatility Forecasting Incorporating Dynamic Graphs and All Trading Days," Papers, arXiv.org, number 2409.15320, Sep, revised Sep 2025.
- Wolfgang Keller & Carol H. Shiue & Sen Yan, 2024, "Mining Chinese Historical Sources At Scale: A Machine Learning-Approach to Qing State Capacity," NBER Working Papers, National Bureau of Economic Research, Inc, number 32982, Sep.
- Oh, Ryeong & Kim, Seongcheol, 2024, "How Do Individuals' Risk Perception and Cognitive Factors Influence Their Intention to Misuse AI in Video Production?," 24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies, International Telecommunications Society (ITS), number 302478.