Key papers

• Optimizing Supply Chain Networks with the Power of Graph Neural Networks (2025)
  Chi-Sheng Chen et al.
  6.58
• Innovating with Generative AI: A Human Bottleneck Framework (2026)
  Julian De Freitas et al.
  5.54
• When LLM Agents Negotiate: Private Information and Dynamic Bargaining in Supply Chains (2026)
  Chen Liang et al.
  5.54
• BiHRNN -- Bi-Directional Hierarchical Recurrent Neural Network for Inflation Forecasting (2025)
  Maya Vilenko
  2.93
• Kalimati Vegetable Price Index Forecasting with a Momentum Corrected Online Stacking Ensemble (2026)
  Sahaj Raj Malla
  1.83
• Electricity price forecasting across Norway's five bidding zones in the post-crisis era (2026)
  My Thi Diem Phan et al.
  1.78
• Designing probabilistic AI monsoon forecasts to inform agricultural decision-making (2026)
  Colin Aitken et al.
  1.72
• Decision-oriented benchmarking to transform AI weather forecast access: Application to the Indian monsoon (2026)
  Rajat Masiwal et al.
  1.67
• Regularized Ensemble Forecasting for Learning Weights from Historical and Current Forecasts (2026)
  Han Su et al.
  1.67
• Latent Variable Phillips Curve (2026)
  Daniil Bargman et al.
  1.61
• Explainable Artificial Intelligence for Economic Time Series: A Comprehensive Review and a Systematic Taxonomy of Methods and Concepts (2025)
  Agust\'in Garc\'ia-Garc\'ia et al.
  1.56
• Generative AI for Analysts (2025)
  Jian Xue et al.
  1.56
• Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales (2025)
  Santhi Bharath Punati et al.
  1.50
• Daily Forecasting for Annual Time Series Datasets Using Similarity-Based Machine Learning Methods: A Case Study in the Energy Market (2025)
  Mahdi Goldani
  1.50
• Seasonality in the U.S. Housing Market: Post-Pandemic Shifts and Regional Dynamics (2025)
  Yihan Hu et al.
  1.50
• Fifty Shades of Greenwashing: The Political Economy of Climate Change Advertising on Social Media (2025)
  Robert Kubinec and Aseem Mahajan
  1.50
• Market-Based Variance of Market Portfolio and of Entire Market (2025)
  Victor Olkhov
  1.44
• Feature-driven reinforcement learning for photovoltaic in continuous intraday trading (2025)
  Arega Getaneh Abate et al.
  1.44
• Predicting Household Water Consumption Using Satellite and Street View Images in Two Indian Cities (2025)
  Qiao Wang and Joseph George
  1.44
• NoLBERT: A No Lookahead(back) Foundational Language Model (2025)
  Ali Kakhbod and Peiyao Li
  1.39
• Evaluating COVID 19 Feature Contributions to Bitcoin Return Forecasting: Methodology Based on LightGBM and Genetic Optimization (2025)
  Imen Mahmoud and Andrei Velichko
  1.33
• Forecasting Binary Economic Events in Modern Mercantilism: Traditional methodologies coupled with PCA and K-means Quantitative Analysis of Qualitative Sentimental Data (2025)
  Sebastian Kot
  1.33
• A Financial Brain Scan of the LLM (2025)
  Hui Chen et al.
  1.33
• Artificial Finance: How AI Thinks About Money (2025)
  Orhan Erdem et al.
  1.28
• Weather-Aware AI Systems versus Route-Optimization AI: A Comprehensive Analysis of AI Applications in Transportation Productivity (2025)
  Tatsuru Kikuchi
  1.28
• Markowitz Variance May Vastly Undervalue or Overestimate Portfolio Variance and Risks (2025)
  Victor Olkhov
  1.28
• Deep Learning in Renewable Energy Forecasting: A Cross-Dataset Evaluation of Temporal and Spatial Models (2025)
  Lutfu Sua et al.
  1.17
• Revealing economic facts: LLMs know more than they say (2025)
  Marcus Buckmann et al.
  1.17
• Big Data and the Computational Social Science of Entrepreneurship and Innovation (2025)
  Ningzi Li et al.
  1.17
• Vague Knowledge: Evidence from Analyst Reports (2025)
  Kerry Xiao and Amy Zang
  1.17
• Forecasting Residential Heating and Electricity Demand with Scalable, High-Resolution, Open-Source Models (2025)
  Stephen J. Lee and Cailinn Drouin
  1.17
• FinTextSim: Enhancing Financial Text Analysis with BERTopic (2025)
  Simon Jehnen and Joaqu\'in Ordieres-Mer\'e and Javier Villalba-D\'iez
  1.11
• The Impact of Meteorological Factors on Crop Price Volatility in India: Case studies of Soybean and Brinjal (2025)
  Ashok Kumar et al.
  1.06
• Mitigating Financial Risk from Climate-Induced Agricultural Price Volatility (2025)
  Sourish Das et al.
  1.06
• A Comprehensive Review: Applicability of Deep Neural Networks in Business Decision Making and Market Prediction Investment (2025)
  Viet Trinh
  1.00
• Real-time Monitoring of Economic Shocks using Company Websites (2025)
  Michael Koenig et al.
  1.00
• Forecasting Company Fundamentals (2024)
  Felix Divo et al.
  0.94
• Adventures in Demand Analysis Using AI (2025)
  Philipp Bach et al.
  0.94
• Empirical Study on the Factors Influencing Stock Market Volatility in China (2025)
  Jingchu Zhang
  0.94
• Efficient mid-term forecasting of hourly electricity load using generalized additive models (2024)
  Monika Zimmermann and Florian Ziel
  0.61
• Aggregated moving functional median in robust prediction of hierarchical functional time series - an application to forecasting web portal users behaviors (2017)
  Daniel Kosiorowski et al.
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• Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics (2022)
  Maysa M. Garcia de Macedo and Wyatt Clarke and Eli Lucherini and Tyler Baldwin and Dilermando Queiroz Neto and Rogerio de Paula and Subhro Das
  —
• Incorporating High-Frequency Weather Data into Consumption Expenditure Predictions (2022)
  Anders Christensen et al.
  —
• Creating Disasters: Recession Forecasting with GAN-Generated Synthetic Time Series Data (2023)
  Sam Dannels
  —
• Building Floorspace in China: A Dataset and Learning Pipeline (2023)
  Peter Egger et al.
  —
• Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis? (2023)
  Qingyi Wang et al.
  —
• Simplifying and Improving: Revisiting Bulgaria's Revenue Forecasting Models (2023)
  Fabio Ashtar Telarico
  —
• Behavioral Machine Learning? Regularization and Forecast Bias (2023)
  Murray Z. Frank et al.
  —
• Machine Learning for Economics Research: When What and How? (2023)
  Ajit Desai
  —
• Measuring Consistency in Text-based Financial Forecasting Models (2023)
  Linyi Yang et al.
  —
• Statistical electricity price forecasting: A structural approach (2023)
  Raffaele Sgarlato
  —
• Long-term Effects of Temperature Variations on Economic Growth: A Machine Learning Approach (2023)
  Eugene Kharitonov et al.
  —
• Corporate Bankruptcy Prediction with Domain-Adapted BERT (2023)
  Alex Kim and Sangwon Yoon
  —
• A unified repository for pre-processed climate data weighted by gridded economic activity (2023)
  Marco Gortan et al.
  —
• MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning (2024)
  Junwei Su et al.
  —
• Forecasting Imports in OECD Member Countries and Iran by Using Neural Network Algorithms of LSTM (2024)
  Soheila Khajoui et al.
  —
• Probabilistic Forecasting of Real-Time Electricity Market Signals via Interpretable Generative AI (2024)
  Xinyi Wang et al.
  —
• Can Base ChatGPT be Used for Forecasting without Additional Optimization? (2024)
  Van Pham and Scott Cunningham
  —
• Machine learning and economic forecasting: the role of international trade networks (2024)
  Thiago C. Silva et al.
  —
• QxEAI: Quantum-like evolutionary algorithm for automated probabilistic forecasting (2024)
  Kevin Xin et al.
  —