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Report NEP-BIG-2025-10-27
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:
- Ruslan Tepelyan, 2025, "Enhancing OHLC Data with Timing Features: A Machine Learning Evaluation," Papers, arXiv.org, number 2509.16137, Sep.
- Julian Sester & Huansang Xu, 2025, "Deep learning CAT bond valuation," Papers, arXiv.org, number 2509.25899, Sep.
- Paglialunga, Elena & Resce, Giuliano & Zanoni, Angela, 2025, "Predicting Regional Unemployment in the EU," Economics & Statistics Discussion Papers, University of Molise, Department of Economics, number esdp25101, Oct.
- Revelas, Christos, 2025, "Essays on Consistency and Randomization in Machine Learning and Fraud Detection," Other publications TiSEM, Tilburg University, School of Economics and Management, number 2ee1c0cb-ed62-441e-9bf4-1.
- Zofia Bracha & Jakub Michańków & Paweł Sakowski, 2025, "Application of Deep Reinforcement Learning to At-the-Money S&P 500 Options Hedging," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2025-25.
- Duso, Tomaso & Harrington, Joseph E. & Kreuzberg, Carl & Sapi, Geza, 2025, "Public communication and collusion: New screening tools for competition authorities," DICE Discussion Papers, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE), number 430.
- Tian Guo & Emmanuel Hauptmann, 2025, "Exploring the Synergy of Quantitative Factors and Newsflow Representations from Large Language Models for Stock Return Prediction," Papers, arXiv.org, number 2510.15691, Oct, revised Nov 2025.
- Liu, Zihao, 2025, "Empirical Corporate Finance and Deep Learning," Other publications TiSEM, Tilburg University, School of Economics and Management, number 440468a5-5c38-4aab-ba29-b.
- Yiyao Zhang & Diksha Goel & Hussain Ahmad & Claudia Szabo, 2025, "RegimeFolio: A Regime Aware ML System for Sectoral Portfolio Optimization in Dynamic Markets," Papers, arXiv.org, number 2510.14986, Sep.
- Bach, Philipp & Klaaßen, Sven & Kueck, Jannis & Mattes, Mara & Spindler, Martin, 2025, "Sensitivity analysis for treatment effects in difference-in-differences models using Riesz Rrepresentation," Discussion Papers, Free University Berlin, School of Business & Economics, number 2025/7, DOI: 10.17169/refubium-49634.
- Jinkyu Kim & Hyunjung Yi & Mogan Gim & Donghee Choi & Jaewoo Kang, 2025, "DeepAries: Adaptive Rebalancing Interval Selection for Enhanced Portfolio Selection," Papers, arXiv.org, number 2510.14985, Sep.
- Florian Englmaier & Jose E. Galdon-Sanchez & Ricard Gil & Michael Kaiser & Helene Strandt, 2025, "Management Practices and Firm Performance During the Great Recession," Rationality and Competition Discussion Paper Series, CRC TRR 190 Rationality and Competition, number 548, Oct.
- Joachim Wagner, 2025, "Firm characteristics of two-way traders: Evidence from Probit vs. Kernel-Regularized Least Squares regressions," Working Paper Series in Economics, University of Lüneburg, Institute of Economics, number 433, May.
- Meisenbacher, Stephen & Nestorov, Svetlozar & Norlander, Peter, 2025, "Extracting O*NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data," MPRA Paper, University Library of Munich, Germany, number 126336, Oct.
- Huben Liu & Dimitris Papanikolaou & Lawrence D.W. Schmidt & Bryan Seegmiller, 2025, "Technology and Labor Markets: Past, Present, and Future; Evidence from Two Centuries of Innovation," NBER Working Papers, National Bureau of Economic Research, Inc, number 34386, Oct.
- Alexandra Piller & Marc Schranz & Larissa Schwaller, 2025, "Using Natural Language Processing to Identify Monetary Policy Shocks," Working Papers, Swiss National Bank, Study Center Gerzensee, number 25.05, Oct.
- Yuhan Cheng & Heyang Zhou & Yanchu Liu, 2025, "Large Language Models and Futures Price Factors in China," Papers, arXiv.org, number 2509.23609, Sep.