Report NEP-BIG-2025-08-18

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:

• Duane, Jackson & Ren, Alicia & Zhang, Wei, 2025. "Deep Learning Models for Financial Data Analysis: A Focused Review of Recent Advances," OSF Preprints ctxf9_v1, Center for Open Science.
• Baptiste Lefort & Eric Benhamou & Beatrice Guez & Jean-Jacques Ohana & Ethan Setrouk & Alban Etienne, 2025. "FinMarBa: A Market-Informed Dataset for Financial Sentiment Classification," Papers 2507.22932, arXiv.org.
• Md Talha Mohsin, 2025. "Evaluating Large Language Models (LLMs) in Financial NLP: A Comparative Study on Financial Report Analysis," Papers 2507.22936, arXiv.org.
• Richiardi, Matteo & Rejoice, Frimpong, 2025. "Machine learning regionalisation of input data for microsimulation models: An application of a hybrid GBM / IPF method to build a tax-benefit model for the Essex region in the UK," Centre for Microsimulation and Policy Analysis Working Paper Series CEMPA9/25, Centre for Microsimulation and Policy Analysis at the Institute for Social and Economic Research.
• Tingyu Yuan & Xi Zhang & Xuanjing Chen, 2025. "Machine Learning based Enterprise Financial Audit Framework and High Risk Identification," Papers 2507.06266, arXiv.org.
• Siyi Wu & Zhaoyang Guan & Leyi Zhao & Xinyuan Song & Xinyu Ying & Hanlin Zhang & Michele Pak & Yangfan He & Yi Xin & Jianhui Wang & Tianyu Shi, 2025. "MountainLion: A Multi-Modal LLM-Based Agent System for Interpretable and Adaptive Financial Trading," Papers 2507.20474, arXiv.org.
• Ozili, Peterson K & Obiora, Kingsley I & Onuzo, Chinwendu, 2025. "Financial inclusion and large language models," MPRA Paper 125562, University Library of Munich, Germany.
• Tomaso Duso & Joseph E., Jr. Harrington & Carl Kreuzberg & Geza Sapi, 2025. "Public Communication and Collusion: New Screening Tools for Competition Authorities," CESifo Working Paper Series 12029, CESifo.
• Schultze, Michelle, 2025. "In the Shadow of War: Assessing Conflict-Driven Disruptions in the Kyrgyzstan-Russia Labor Pipeline via a Gradient Boosting Approach to Nowcasting," SocArXiv z2wch_v1, Center for Open Science.
• Jiayi Guo & Zhiyu Quan & Linfeng Zhang, 2025. "Entity-Specific Cyber Risk Assessment using InsurTech Empowered Risk Factors," Papers 2507.08193, arXiv.org, revised Jul 2025.
• Mori, Misato, 2025. "How AI Detects Financial Fraud: A Review of Emerging Deep Learning Methods," OSF Preprints 5yjm4_v1, Center for Open Science.
• Francis Boabang & Samuel Asante Gyamerah, 2025. "An Enhanced Focal Loss Function to Mitigate Class Imbalance in Auto Insurance Fraud Detection with Explainable AI," Papers 2508.02283, arXiv.org.
• Golo Henseke & Rhys Davies & Alan Felstead & Duncan Gallie & Francis Green & Ying Zhou, 2025. "How Exposed Are UK Jobs to Generative AI? Developing and Applying a Novel Task-Based Index," Papers 2507.22748, arXiv.org, revised Aug 2025.
• Yingnan Yan & Tianming Liu & Yafeng Yin, 2025. "Valuing Time in Silicon: Can Large Language Model Replicate Human Value of Travel Time," Papers 2507.22244, arXiv.org.
• Junjie Zhao & Chengxi Zhang & Chenkai Wang & Peng Yang, 2025. "Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining," Papers 2507.20263, arXiv.org.
• Zeqi Wu & Meilin Wang & Wei Huang & Zheng Zhang, 2025. "A New and Efficient Debiased Estimation of General Treatment Models by Balanced Neural Networks Weighting," Papers 2507.04044, arXiv.org.
• Rachel Cho & Christoph Görtz & Danny McGowan & Max Schröder, 2025. "Defining Current and Expected Financial Constraints Using AI: Reinterpreting the Cash Flow Sensitivity of Cash," CESifo Working Paper Series 12054, CESifo.
• Zequn Jin & Gaoqian Xu & Xi Zheng & Yahong Zhou, 2025. "Policy Learning under Unobserved Confounding: A Robust and Efficient Approach," Papers 2507.20550, arXiv.org.
• Dhanashekar Kandaswamy & Ashutosh Sahoo & Akshay SP & Gurukiran S & Parag Paul & Girish G N, 2025. "Deep Reputation Scoring in DeFi: zScore-Based Wallet Ranking from Liquidity and Trading Signals," Papers 2507.20494, arXiv.org.
• Johannes Kruse, 2025. "The ordinary meaning bot: Simulating human surveys with LLMs," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2025_12, Max Planck Institute for Research on Collective Goods.
• Seyed Mohammad Ali Jafari & Ali Mobini Dehkordi & Ehsan Chitsaz & Yadollah Yaghoobzadeh, 2025. "What Matters Most? A Quantitative Meta-Analysis of AI-Based Predictors for Startup Success," Papers 2507.09675, arXiv.org.
• Georges Sfeir & Gabriel Nova & Stephane Hess & Sander van Cranenburgh, 2025. "Can large language models assist choice modelling? Insights into prompting strategies and current models capabilities," Papers 2507.21790, arXiv.org.
• Aaron Green & Zihan Nie & Hanzhen Qin & Oshani Seneviratne & Kristin P. Bennett, 2025. "FinSurvival: A Suite of Large Scale Survival Modeling Tasks from Finance," Papers 2507.14160, arXiv.org.
• Zehao Lin & Ying Liu & Congrong Pan & Lutz Sager, 2025. "Can Air Pollution Affect Our Sentiments: Social Media Evidence from Japan," CESifo Working Paper Series 12030, CESifo.
• Hoyoung Lee & Junhyuk Seo & Suhwan Park & Junhyeong Lee & Wonbin Ahn & Chanyeol Choi & Alejandro Lopez-Lira & Yongjae Lee, 2025. "Your AI, Not Your View: The Bias of LLMs in Investment Analysis," Papers 2507.20957, arXiv.org, revised Aug 2025.
• König, Leonard Maximilian, 2025. "Affective Signals and Issue Salience in Swiss Reddit Discourse: Insights on Public Reaction to Government Measures During COVID-19 and the Ukraine Crisis," SocArXiv 28exs_v2, Center for Open Science.
• Wei Lu & Daniel L. Chen & Christian B. Hansen, 2025. "Aligning Large Language Model Agents with Rational and Moral Preferences: A Supervised Fine-Tuning Approach," Papers 2507.20796, arXiv.org.
• Brochet, S. & Mueller, H. & Rauh, C., 2025. "Uncovering Economic Policy Uncertainty During Conflict," Janeway Institute Working Papers 2520, Faculty of Economics, University of Cambridge.
• Christoph Engel & Yoan Hermstrüwer & Alison Kim, 2025. "Human Realignment: An Empirical Study of LLMs as Legal Decision-Aids in Moral Dilemmas," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2025_03, Max Planck Institute for Research on Collective Goods.