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Report NEP-CMP-2025-01-06
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:
- Wendy E. Dunn & Raakin Kabir & Ellen E. Meade & Nitish R. Sinha, 2024, "Using Generative AI Models to Understand FOMC Monetary Policy Discussions," FEDS Notes, Board of Governors of the Federal Reserve System (U.S.), number 2024-12-06-1, Dec, DOI: 10.17016/2380-7172.3678.
- Mahalakshmi Manian & Parthajit Kayal, 2024, "Detecting and Forecasting Financial Bubbles in The Indian Stock Market Using Machine Learning Models," Working Papers, Madras School of Economics,Chennai,India, number 2024-270, Oct.
- Herbert Dawid & Philipp Harting & Michal Neugart, 2024, "Deep Q-learning of Prices in Oligopolies: The Number of Competitors Matters," GREDEG Working Papers, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, number 2024-32, Dec.
- Federico Giorgi & Stefano Herzel & Paolo Pigato, 2024, "A Reinforcement Learning Algorithm For Option Hedging," CEIS Research Paper, Tor Vergata University, CEIS, number 586, Dec, revised 17 Dec 2024.
- Sebastian Bell & Ali Kakhbod & Martin Lettau & Abdolreza Nazemi, 2024, "Glass Box Machine Learning and Corporate Bond Returns," NBER Working Papers, National Bureau of Economic Research, Inc, number 33320, Dec.
- Tobias Schimanski & Jingwei Ni & Mathias Kraus & Elliott Ash & Markus Leippold, 2024, "Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 24-94, Mar.
- Munipalle, Pravith, 2024, "Algorithmic Bot Trading vs. Human Trading: Assessing Retail Trading Implications in Financial Markets," OSF Preprints, Center for Open Science, number p98zv, Dec, DOI: 10.31219/osf.io/p98zv.
- Christoph Engel, 2024, "Experimental comparative law 2.0? Large language models as a novel empirical tool," Discussion Paper Series of the Max Planck Institute for Behavioral Economics, Max Planck Institute for Behavioral Economics, number 2024_12, Jul.
- Robert Kelchen & Dubravka Ritter & Douglas A. Webber, 2024, "Predicting College Closures and Financial Distress," Working Papers, Federal Reserve Bank of Philadelphia, number 24-20, Dec, DOI: 10.21799/frbp.wp.2024.20.
- Kaiji Chen & Mr. Yunhui Zhao, 2024, "Chinese Housing Market Sentiment Index: A Generative AI Approach and An Application to Monetary Policy Transmission," IMF Working Papers, International Monetary Fund, number 2024/264, Dec.
- Markus Leippold & Qian Wang & Min Yang, 2024, "Technical Patterns and News Sentiment in Stock Markets," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 24-88, Aug.
- Hao Hao & Tae-Hwy Lee, 2024, "Boosting GMM with Many Instruments When Some Are Invalid and/or Irrelevant," Working Papers, University of California at Riverside, Department of Economics, number 202411, Dec.