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Report NEP-BIG-2024-11-11
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:
- Manuela Pedio & Massimo Guidolin & Giulia Panzeri, 2024, "Machine Learning in Portfolio Decisions," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 24233.
- Zongwu Cai & Pixiong Chen, 2024, "Online Investor Sentiment via Machine Learning," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202411, Sep, revised Sep 2024.
- Diego Vallarino, 2024, "Dynamic Portfolio Rebalancing: A Hybrid new Model Using GNNs and Pathfinding for Cost Efficiency," Papers, arXiv.org, number 2410.01864, Oct.
- Leite, Walter & Zhang, Huibin & collier, zachary & Chawla, Kamal & , l.kong@ufl.edu & Lee, Yongseok & Quan, Jia & Soyoye, Olushola, 2024, "Machine Learning for Propensity Score Estimation: A Systematic Review and Reporting Guidelines," OSF Preprints, Center for Open Science, number gmrk7, Oct, DOI: 10.31219/osf.io/gmrk7.
- Sophia Bodensteiner & Lukas Lautenschlaeger & Wolfgang Schäfers, 2024, "Breaking Down the REIT Market: Is Social Media Capable of Predicting a REITs’ Performance?," ERES, European Real Estate Society (ERES), number eres2024-090, Jan.
- Yang Liu & Ran Pan & Rui Xu, 2024, "Mending the Crystal Ball: Enhanced Inflation Forecasts with Machine Learning," IMF Working Papers, International Monetary Fund, number 2024/206, Sep.
- Yanxin Shen & Pulin Kirin Zhang, 2024, "Financial Sentiment Analysis on News and Reports Using Large Language Models and FinBERT," Papers, arXiv.org, number 2410.01987, Oct.
- Theophilus G. Baidoo & Ashley Obeng, 2024, "Navigating Inflation in Ghana: How Can Machine Learning Enhance Economic Stability and Growth Strategies," Papers, arXiv.org, number 2410.05630, Oct.
- Dupret, Jean-Loup & Hainaut, Donatien, 2024, "Deep learning for high-dimensional continuous-time stochastic optimal control without explicit solution," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2024016, May.
- Lucas Gomes & Jannis Kueck & Mara Mattes & Martin Spindler & Alexey Zaytsev, 2024, "Collusion Detection with Graph Neural Networks," Papers, arXiv.org, number 2410.07091, Oct.
- Baptiste Lefort & Eric Benhamou & Jean-Jacques Ohana & David Saltiel & Beatrice Guez, 2024, "Optimizing Performance: How Compact Models Match or Exceed GPT's Classification Capabilities through Fine-Tuning," Papers, arXiv.org, number 2409.11408, Aug.
- Diego Vallarino, 2024, "A Dynamic Approach to Stock Price Prediction: Comparing RNN and Mixture of Experts Models Across Different Volatility Profiles," Papers, arXiv.org, number 2410.07234, Oct.
- Holtdirk, Tobias & Assenmacher, Dennis & Bleier, Arnim & Wagner, Claudia, 2024, "Fine-Tuning Large Language Models to Simulate German Voting Behaviour (Working Paper)," OSF Preprints, Center for Open Science, number udz28, Oct, DOI: 10.31219/osf.io/udz28.
- Siyu Bie & Francis X. Diebold & Jingyu He & Junye Li, 2024, "Machine Learning and the Yield Curve:Tree-Based Macroeconomic Regime Switching," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 24-028, Oct.
- Miroslav Pánik & Andrej Adamušin, 2024, "Forecast of residential real estate prices in Slovakia using of neural networks," ERES, European Real Estate Society (ERES), number eres2024-091, Jan.
- Pablo Ottonello & Wenting Song & Sebastian Sotelo, 2024, "An Anatomy of Firms’ Political Speech," Staff Working Papers, Bank of Canada, number 24-37, Oct, DOI: 10.34989/swp-2024-37.
- Damian Damianov & Xiangdong Wang & Cheng Yan, 2024, "Information disclosure vs. information learning via Google search," ERES, European Real Estate Society (ERES), number eres2024-056, Jan.
- Tin Cheuk Leung & Koleman Strumpf, 2024, "Disentangling Demand and Supply of Media Bias: The Case of Newspaper Homepages," Working Papers, Wake Forest University, Economics Department, number 116, Oct.
- Benedikt Gloria & Sven Bienert & Johannes Melsbach & Detlef Schoder, 2024, "Real-GPT: Efficiently Tailoring LLMs for Informed Decision-Making in the Real Estate Industry," ERES, European Real Estate Society (ERES), number eres2024-036, Jan.
- Federico Daniel Forte, 2024, "Forecasting short-term inflation in Argentina with Random Forest Models," Papers, arXiv.org, number 2410.01175, Oct.
- Siqi Huang & Anupam Nanda & Eero Valtonen, 2024, "Do Words Match Deeds? Exploring the Link Between ESG Discourse and Performance of Real Estate Companies," ERES, European Real Estate Society (ERES), number eres2024-076, Jan.