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Report NEP-BIG-2024-12-02
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:
- Saber Talazadeh & Dragan Perakovic, 2024, "SARF: Enhancing Stock Market Prediction with Sentiment-Augmented Random Forest," Papers, arXiv.org, number 2410.07143, Sep.
- Arya Chakraborty & Auhona Basu, 2024, "A Hierarchical conv-LSTM and LLM Integrated Model for Holistic Stock Forecasting," Papers, arXiv.org, number 2410.12807, Sep.
- Caterina Giannetti & Maria Saveria Mavillonio, 2024, "Crowdfunding Success: Human Insights vs Algorithmic Textual Extraction," Discussion Papers, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy, number 2024/315, Nov.
- Yi Zheng & Zehao Li & Peng Jiang & Yijie Peng, 2024, "Dual-Agent Deep Reinforcement Learning for Dynamic Pricing and Replenishment," Papers, arXiv.org, number 2410.21109, Oct.
- Sotiris Tsolacos & Tatiana Franus, 2024, "Assessing the forecast performance of machine learning algorithms and econometric models in real estate," ERES, European Real Estate Society (ERES), number eres2024-251, Jan.
- Jesús Fernández-Villaverde & Galo Nuño & Jesse Perla, 2024, "Taming the Curse of Dimensionality: Quantitative Economics with Deep Learning," NBER Working Papers, National Bureau of Economic Research, Inc, number 33117, Nov.
- Kei Nakagawa & Masanori Hirano & Yugo Fujimoto, 2024, "Evaluating Company-specific Biases in Financial Sentiment Analysis using Large Language Models," Papers, arXiv.org, number 2411.00420, Nov.
- Miguel Camacho-Ruiz & Ram'on Alberto Carrasco & Gema Fern'andez-Avil'es & Antonio LaTorre, 2024, "Tourism destination events classifier based on artificial intelligence techniques," Papers, arXiv.org, number 2410.19741, Oct.
- Midha, Joshua, 2024, "Assessing Emerging Markets through Transactional Dynamics: A New Multi-Dimensional Valuation Framework," SocArXiv, Center for Open Science, number d8jkt, Nov, DOI: 10.31219/osf.io/d8jkt.
- Mahdi Goldani, 2024, "Safety and Security Dynamics in Gulf Cooperation Council (GCC) Countries: A Machine Learning Approach to Forecasting Security Trends," Papers, arXiv.org, number 2410.21511, Oct, revised Nov 2024.
- Krantz, Sebastian, 2024, "Mapping Africa's infrastructure potential with geospatial big data and causal ML," Kiel Working Papers, Kiel Institute for the World Economy, number 2276.
- Item repec:ocp:rpaeco:pb_11_23 is not listed on IDEAS anymore
- Zhiyuan Pei & Jianqi Yan & Jin Yan & Bailing Yang & Ziyuan Li & Lin Zhang & Xin Liu & Yang Zhang, 2024, "A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images," Papers, arXiv.org, number 2410.19291, Oct, revised Oct 2024.
- Dragos Gorduza & Yaxuan Kong & Xiaowen Dong & Stefan Zohren, 2024, "Extracting Alpha from Financial Analyst Networks," Papers, arXiv.org, number 2410.20597, Oct.
- Facundo Arga~naraz & Juan Carlos Escanciano, 2024, "Machine Learning Debiasing with Conditional Moment Restrictions: An Application to LATE," Papers, arXiv.org, number 2410.23785, Oct.
- Maria Saveria Mavillonio, 2024, "Natural Language Processing Techniques for Long Financial Document," Discussion Papers, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy, number 2024/317, Nov.
- Ruyi Tao & Veronica R. Cappelli & Kaiwei Liu & Marcus J. Hamilton & Christopher P. Kempes & Geoffrey B. Wes & Jiang Zhang, 2024, "Predicting Company Growth using Scaling Theory informed Machine Learning," Papers, arXiv.org, number 2410.17587, Oct, revised Feb 2026.
- Sonnleitner, Benedikt & Stapf, Jelena & Wulff, Kai, 2024, "Benchmarking short term forecasts of regional banknote lodgements and withdrawals," Discussion Papers, Deutsche Bundesbank, number 39/2024.
- Christoph Koenig, 2024, "With a Little Help From the Crowd: Estimating Election Fraud with Forensic Methods," CEIS Research Paper, Tor Vergata University, CEIS, number 584, Oct, revised 28 Oct 2024.
- Michel F. C. Haddad & Martin Huber & Jos'e Eduardo Medina-Reyes & Lucas Z. Zhang, 2024, "Difference-in-Differences with Time-varying Continuous Treatments using Double/Debiased Machine Learning," Papers, arXiv.org, number 2410.21105, Oct, revised Jan 2026.
- Mahdi Goldani, 2024, "Forecasting Political Stability in GCC Countries," Papers, arXiv.org, number 2410.21516, Oct, revised Nov 2024.
- Arndt, Channing & Mukashov, Askar & Robinson, Sherman & Thomas, Timothy S. & Thurlow, James, 2024, "Systematic risk profiling: A novel approach with applications to Kenya, Rwanda, and Malawi," IFPRI discussion papers, International Food Policy Research Institute (IFPRI), number 2286.
- Rotem Zelingher, 2024, "Democratising Agricultural Commodity Price Forecasting: The AGRICAF Approach," Papers, arXiv.org, number 2410.20363, Oct, revised Mar 2025.
- Yakymovych, Yaroslav, 2024, "Medical certificates and sickness absence: who stays away from work if monitoring is relaxed?," Working Paper Series, IFAU - Institute for Evaluation of Labour Market and Education Policy, number 2024:19, Nov.
- Joel R. Bock, 2024, "Generating long-horizon stock "buy" signals with a neural language model," Papers, arXiv.org, number 2410.18988, Oct.
- Yuan Gao & Dokyun Lee & Gordon Burtch & Sina Fazelpour, 2024, "Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina," Papers, arXiv.org, number 2410.19599, Oct, revised Jan 2025.
- Alicia Vidler & Toby Walsh, 2024, "TraderTalk: An LLM Behavioural ABM applied to Simulating Human Bilateral Trading Interactions," Papers, arXiv.org, number 2410.21280, Oct.
- Ji Ma, 2024, "Can Machines Think Like Humans? A Behavioral Evaluation of LLM Agents in Dictator Games," Papers, arXiv.org, number 2410.21359, Oct, revised Nov 2025.