Printed from https://ideas.repec.org/n/nep-big/2024-11-04.html
Report NEP-BIG-2024-11-04
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:
- Thomas R. Cook & Zach Modig & Nathan M. Palmer, 2024, "Explaining Machine Learning by Bootstrapping Partial Marginal Effects and Shapley Values," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2024-075, Sep, DOI: 10.17016/FEDS.2024.075.
- Stanisław Łaniewski & Robert Ślepaczuk, 2024, "Enhancing literature review with NLP methods Algorithmic investment strategies case," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2024-16.
- Sanjay Sathish & Charu C Sharma, 2024, "Leveraging RNNs and LSTMs for Synchronization Analysis in the Indian Stock Market: A Threshold-Based Classification Approach," Papers, arXiv.org, number 2409.06728, Aug.
- V. Lanzetta, 2024, "Transfer learning for financial data predictions: a systematic review," Papers, arXiv.org, number 2409.17183, Sep.
- Hendrik Jenett & Maximilian Nagl & Cathrine Nagl & McKay Price & Wolfgang Schäfers, 2024, "Dynamics of REIT Returns and Volatility: Analyzing Time-Varying Drivers Using an Explainable Machine Learning Approach," ERES, European Real Estate Society (ERES), number eres2024-107, Jan.
- Koundouri, Phoebe & Aslanidis, Panagiotis-Stavros & Dellis, Konstantinos & Feretzakis, Georgios & Plataniotis, Angelos, 2024, "Uncovering the SDG content of Human Security Policies through a Machine Learning web application," MPRA Paper, University Library of Munich, Germany, number 121972, Feb.
- Ronald Richman & Salvatore Scognamiglio & Mario V. Wuthrich, 2024, "The Credibility Transformer," Papers, arXiv.org, number 2409.16653, Sep.
- Kiwhan Song & Mohamed Ali Dhraief & Muhua Xu & Locke Cai & Xuhao Chen & Arvind & Jie Chen, 2024, "Identifying Money Laundering Subgraphs on the Blockchain," Papers, arXiv.org, number 2410.08394, Oct.
- Jiaxing Yang, 2024, "Predicting Distance matrix with large language models," Papers, arXiv.org, number 2409.16333, Sep.
- Ali Mehrabian & Ehsan Hoseinzade & Mahdi Mazloum & Xiaohong Chen, 2024, "Mamba Meets Financial Markets: A Graph-Mamba Approach for Stock Price Prediction," Papers, arXiv.org, number 2410.03707, Sep, revised Jan 2025.
- Pesaran, M. H. & Song, H., 2024, "Forecasting 2024 US Presidential Election by States Using County Level Data: Too Close to Call," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2464, Oct.
- Stefano Piasenti & Müge Süer, 2024, "Predictive Power of Biological Sex and Gender Identity on Economic Behavior," Rationality and Competition Discussion Paper Series, CRC TRR 190 Rationality and Competition, number 513, Oct.
- Ruslan Goyenko & Bryan T. Kelly & Tobias J. Moskowitz & Yinan Su & Chao Zhang, 2024, "Trading Volume Alpha," NBER Working Papers, National Bureau of Economic Research, Inc, number 33037, Oct.
- Guoxi Zhang & Jiuding Duan, 2024, "VickreyFeedback: Cost-efficient Data Construction for Reinforcement Learning from Human Feedback," Papers, arXiv.org, number 2409.18417, Sep, revised Dec 2024.
- Boser, Anna & Caylor, Kelly & Larsen, Ashley & Pascolini-Campbell, Madeleine & Reager, John T & Carleton, Tamma, 2024, "Field-scale crop water consumption estimates reveal potential water savings in California agriculture," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series, Department of Agricultural & Resource Economics, UC Berkeley, number qt81j397nv, Jan.
- Vito Cormun & Kim Ristolainen, 2024, "Exchange Rate Narratives," Discussion Papers, Aboa Centre for Economics, number 167, Oct.