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 issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• Melissa Dell, 2024. "Deep Learning for Economists," NBER Working Papers 32768, National Bureau of Economic Research, Inc.
• Jozef Barunik & Martin Hronec & Ondrej Tobek, 2024. "Predicting the distributions of stock returns around the globe in the era of big data and learning," Papers 2408.07497, arXiv.org.
• 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 y3mr6, Center for Open Science.
• Hongcheng Ding & Xuanze Zhao & Zixiao Jiang & 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 2408.13214, arXiv.org.
• Julian Ashwin & Paul Beaudry & Martin Ellison, 2024. "Neural Network Learning for Nonlinear Economies," Discussion Papers 2432, Centre for Macroeconomics (CFM).
• Dangxing Chen & Jingfeng Chen & Weicheng Ye, 2024. "Why Groups Matter: Necessity of Group Structures in Attributions," Papers 2408.05701, arXiv.org.
• Foutzopoulos, Giorgos & Pandis, Nikolaos & Tsagris, Michail, 2024. "Predicting full retirement attainment of NBA players," MPRA Paper 121540, University Library of Munich, Germany.
• Ali Habibnia & Mahdi Soltanzadeh, 2024. "Optimizing Portfolio with Two-Sided Transactions and Lending: A Reinforcement Learning Framework," Papers 2408.05382, arXiv.org.
• 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 32850, National Bureau of Economic Research, Inc.
• Siyu Bie & Francis X. Diebold & Jingyu He & Junye Li, 2024. "Machine Learning and the Yield Curve: Tree-Based Macroeconomic Regime Switching," Papers 2408.12863, arXiv.org.
• Zhoufan Zhu & Ke Zhu, 2024. "Enhancement of price trend trading strategies via image-induced importance weights," Papers 2408.08483, arXiv.org.
• 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 2407.21138, arXiv.org.
• Brown, David P. & Cajueiro, Daniel O. & Eckert, Andrew & Silveira, Douglas, 2024. "Evaluating the Role of Information Disclosure on Bidding Behavior in Wholesale Electricity Markets," Working Papers 2024-2, University of Alberta, Department of Economics.
• Ning Li & Huaikang Zhou & Mingze Xu, 2024. "From Text to Insight: Leveraging Large Language Models for Performance Evaluation in Management," Papers 2408.05328, arXiv.org.
• Benami, Elinor & Carter, Michael R. & Hobbs, Andrew & Jin, Zhenong & Kirchner, Ella, 2024. "Get in the Zone: The Risk-Adjusted Welfare Effects of Data-Driven vs. Administrative Borders for Index Insurance Zones," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344685, International Association of Agricultural Economists (IAAE).
• Felipe A. Csaszar & Harsh Ketkar & Hyunjin Kim, 2024. "Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors," Papers 2408.08811, arXiv.org.