Report NEP-BIG-2025-03-17

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:

• Pierre Beaucoral, 2025, "Cracking the Code: Enhancing Development finance understanding with artificial intelligence," Papers, arXiv.org, number 2502.09495, Feb.
• Mostapha Benhenda, 2025, "FinRL-DeepSeek: LLM-Infused Risk-Sensitive Reinforcement Learning for Trading Agents," Papers, arXiv.org, number 2502.07393, Feb.
• Yuan Liao & Xinjie Ma & Andreas Neuhierl & Linda Schilling, 2025, "The Uncertainty of Machine Learning Predictions in Asset Pricing," Papers, arXiv.org, number 2503.00549, Mar.
• Peiwan Wang & Chenhao Cui & Yong Li, 2025, "Trend-encoded Probabilistic Multi-order Model: A Non-Machine Learning Approach for Enhanced Stock Market Forecasts," Papers, arXiv.org, number 2502.08144, Feb, revised Feb 2025.
• Yanhao & Wei & Zhenling Jiang, 2025, "Estimating Parameters of Structural Models Using Neural Networks," Papers, arXiv.org, number 2502.04945, Feb.
• Rath Minati & Date Hema, 2025, "Quantum Powered Credit Risk Assessment: A Novel Approach using hybrid Quantum-Classical Deep Neural Network for Row-Type Dependent Predictive Analysis," Papers, arXiv.org, number 2502.07806, Feb.
• Item repec:osf:socarx:2dve6_v1 is not listed on IDEAS anymore

• Item repec:osf:socarx:qzm7y_v1 is not listed on IDEAS anymore

• Jaskaran Singh Walia & Aarush Sinha & Srinitish Srinivasan & Srihari Unnikrishnan, 2025, "Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation," Papers, arXiv.org, number 2502.17011, Feb.
• Corral Rodas,Paul Andres & Henderson,Heath Linn & Segovia Juarez,Sandra Carolina, 2023, "Poverty Mapping in the Age of Machine Learning," Policy Research Working Paper Series, The World Bank, number 10429, May.
• Tianmi Ma & Jiawei Du & Wenxin Huang & Wenjie Wang & Liang Xie & Xian Zhong & Joey Tianyi Zhou, 2025, "Agent Trading Arena: A Study on Numerical Understanding in LLM-Based Agents," Papers, arXiv.org, number 2502.17967, Feb, revised Sep 2025.
• Tianzuo Hu, 2025, "Financial fraud detection system based on improved random forest and gradient boosting machine (GBM)," Papers, arXiv.org, number 2502.15822, Feb.
• Hamid Moradi-Kamali & Mohammad-Hossein Rajabi-Ghozlou & Mahdi Ghazavi & Ali Soltani & Amirreza Sattarzadeh & Reza Entezari-Maleki, 2025, "Market-Derived Financial Sentiment Analysis: Context-Aware Language Models for Crypto Forecasting," Papers, arXiv.org, number 2502.14897, Feb, revised Mar 2025.
• Merfeld,Joshua D. & Dang, Hai-Anh H. & Newhouse, David, 2023, "Improving Estimates of Mean Welfare and Uncertainty in Developing Countries," Policy Research Working Paper Series, The World Bank, number 10348, Mar.
• Eric Hitz & Mingmin Feng & Radu Tanase & Ren'e Algesheimer & Manuel S. Mariani, 2025, "The amplifier effect of artificial agents in social contagion," Papers, arXiv.org, number 2502.21037, Feb, revised Mar 2025.
• Songrun He & Linying Lv & Asaf Manela & Jimmy Wu, 2025, "Chronologically Consistent Large Language Models," Papers, arXiv.org, number 2502.21206, Feb, revised Jul 2025.
• Kosuke Imai & Michael Lingzhi Li, 2025, "Comment on "Generic machine learning inference on heterogeneous treatment effects in randomized experiments."," Papers, arXiv.org, number 2502.06758, Feb.
• Item repec:osf:socarx:gu7yh_v1 is not listed on IDEAS anymore

• Daniel Brunstein & Georges Casamatta & Sauveur Giannoni, 2025, "Using machine learning to estimate the heterogeneous impact of Airbnb on house prices: Evidence from Corsica," Post-Print, HAL, number hal-04934630, DOI: 10.1016/j.jhe.2025.102044.
• Francesco Puoti & Fabrizio Pittorino & Manuel Roveri, 2025, "Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting," Papers, arXiv.org, number 2502.09079, Feb.
• Item repec:osf:socarx:p3gyb_v1 is not listed on IDEAS anymore

• Tanay Panat & Rohitash Chandra, 2025, "Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies," Papers, arXiv.org, number 2502.06866, Feb, revised Feb 2025.
• Iman Modarressi & Jann Spiess & Amar Venugopal, 2025, "Causal Inference on Outcomes Learned from Text," Papers, arXiv.org, number 2503.00725, Mar.
• Item repec:osf:socarx:bsvr8_v1 is not listed on IDEAS anymore

• Andree,Bo Pieter Johannes & Pape,Utz Johann, 2023, "Machine Learning Imputation of High Frequency Price Surveys in Papua New Guinea," Policy Research Working Paper Series, The World Bank, number 10559, Sep.
• Hui Chen & Giovanni Gambarotta & Simon Scheidegger & Yu Xu, 2025, "A Dynamic Model of Private Asset Allocation," Papers, arXiv.org, number 2503.01099, Mar.
• Goldemberg,Diana & Jordan,Luke Simon & Kenyon,Thomas, 2023, "Minding the Gap : Aid Effectiveness, Project Ratings and Contextualization," Policy Research Working Paper Series, The World Bank, number 10532, Jul.
• Leonardo Berti & Gjergji Kasneci, 2025, "TLOB: A Novel Transformer Model with Dual Attention for Price Trend Prediction with Limit Order Book Data," Papers, arXiv.org, number 2502.15757, Feb, revised May 2025.
• Mahony,Christopher Brian & Manning,Matthew & Wong,Gabriel, 2023, "Weighting Justice Reform Costs and Benefits Using Machine Learning and Modern Data Science," Policy Research Working Paper Series, The World Bank, number 10449, May.
• Pecorari,Natalia Gisel & Cuesta Leiva,Jose Antonio, 2023, "Citizen Participation and Political Trust in Latin America and the Caribbean : AMachine Learning Approach," Policy Research Working Paper Series, The World Bank, number 10335, Mar.
• Hsin-Min Lu & Yu-Tai Chien & Huan-Hsun Yen & Yen-Hsiu Chen, 2025, "Utilizing Pre-trained and Large Language Models for 10-K Items Segmentation," Papers, arXiv.org, number 2502.08875, Feb, revised Apr 2026.
• Ruoyu Guo & Haochen Qiu & Xuelun Hou, 2025, "A Novel Loss Function for Deep Learning Based Daily Stock Trading System," Papers, arXiv.org, number 2502.17493, Feb, revised Nov 2025.
• Item repec:osf:socarx:jtc8k_v1 is not listed on IDEAS anymore

• Zhu, Jin & Wan, Runzhe & Qi, Zhengling & Luo, Shikai & Shi, Chengchun, 2024, "Robust offline reinforcement learning with heavy-tailed rewards," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 122740, May.
• Michael Pfarrhofer & Anna Stelzer, 2025, "Scenario Analysis with Multivariate Bayesian Machine Learning Models," Papers, arXiv.org, number 2502.08440, Feb, revised Nov 2025.
• Moustapha Pemy & Na Zhang, 2025, "Minimal Shortfall Strategies for Liquidation of a Basket of Stocks using Reinforcement Learning," Papers, arXiv.org, number 2502.07868, Feb.
• Blanchard,Paul Baptiste & Ishizawa Escudero,Oscar Anil & Humbert,Thibaut & Van Der Borght,Rafael, 2023, "Struggling with the Rain : Weather Variability and Food Insecurity Forecasting in Mauritania," Policy Research Working Paper Series, The World Bank, number 10457, May.

Report NEP-BIG-2025-03-17

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: