Printed from https://ideas.repec.org/n/nep-big/2024-09-16.html
Report NEP-BIG-2024-09-16
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:
- Melissa Dell, 2024, "Deep Learning for Economists," NBER Working Papers, National Bureau of Economic Research, Inc, number 32768, Aug.
- Jozef Barunik & Martin Hronec & Ondrej Tobek, 2024, "Forecasting stock return distributions around the globe with quantile neural networks," Papers, arXiv.org, number 2408.07497, Aug, revised Aug 2025.
- Moitra, Agnij, 2024, "Directional Stock Price Forecasting Based on Quantitative Value Investing Principles for Loss Averted Bogle-Head Investing using Various Machine Learning Algorithms," OSF Preprints, Center for Open Science, number y3mr6, Jul, DOI: 10.31219/osf.io/y3mr6.
- Hongcheng Ding & Xuanze Zhao & Ruiting Deng & Shamsul Nahar Abdullah & Deshinta Arrova Dewi, 2024, "EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods," Papers, arXiv.org, number 2408.13214, Aug, revised Jun 2025.
- Julian Ashwin & Paul Beaudry & Martin Ellison, 2024, "Neural Network Learning for Nonlinear Economies," Discussion Papers, Centre for Macroeconomics (CFM), number 2432, Jul.
- Dangxing Chen & Jingfeng Chen & Weicheng Ye, 2024, "Why Groups Matter: Necessity of Group Structures in Attributions," Papers, arXiv.org, number 2408.05701, Aug.
- Foutzopoulos, Giorgos & Pandis, Nikolaos & Tsagris, Michail, 2024, "Predicting full retirement attainment of NBA players," MPRA Paper, University Library of Munich, Germany, number 121540, Jul.
- Ali Habibnia & Mahdi Soltanzadeh, 2024, "Optimizing Portfolio with Two-Sided Transactions and Lending: A Reinforcement Learning Framework," Papers, arXiv.org, number 2408.05382, Aug.
- Mahdi E. Kahou & Jesús Fernández-Villaverde & Sebastian Gomez-Cardona & Jesse Perla & Jan Rosa, 2024, "Spooky Boundaries at a Distance: Inductive Bias, Dynamic Models, and Behavioral Macro," NBER Working Papers, National Bureau of Economic Research, Inc, number 32850, Aug.
- Siyu Bie & Francis X. Diebold & Jingyu He & Junye Li, 2024, "Machine Learning and the Yield Curve: Tree-Based Macroeconomic Regime Switching," Papers, arXiv.org, number 2408.12863, Aug, revised May 2025.
- Zhoufan Zhu & Ke Zhu, 2024, "Enhancement of price trend trading strategies via image-induced importance weights," Papers, arXiv.org, number 2408.08483, Aug.
- Pascal Franc{c}ois & Genevi`eve Gauthier & Fr'ed'eric Godin & Carlos Octavio P'erez Mendoza, 2024, "Enhancing Deep Hedging of Options with Implied Volatility Surface Feedback Information," Papers, arXiv.org, number 2407.21138, Jul, revised Aug 2025.
- David P. Brown & Daniel O. Cajueiro & Andrew Eckert & Douglas Silveira, 2024, "Evaluating the Role of Information Disclosure on Bidding Behavior in Wholesale Electricity Markets," Working Papers, University of Alberta, Department of Economics, number 2024-02, Aug.
- Ning Li & Huaikang Zhou & Mingze Xu, 2024, "From Text to Insight: Leveraging Large Language Models for Performance Evaluation in Management," Papers, arXiv.org, number 2408.05328, Aug.
- Item repec:ags:cfcp15:344685 is not listed on IDEAS anymore
- Felipe A. Csaszar & Harsh Ketkar & Hyunjin Kim, 2024, "Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors," Papers, arXiv.org, number 2408.08811, Aug.