Can LLMs Identify Tax Abuse?: Andrew Blair-Stanek; Nils Holzenberger; Benjamin Van Durme

Is All the Information in the Price? LLM Embeddings versus the EMH in Stock Clustering: Bingyang Wang; Grant Johnson; Maria Hybinette; Tucker Balch

Firm-Level Input Price Changes and Their Effects: A Deep Learning Approach: Sudheer Chava; Wendi Du; Indrajit Mitra; Agam Shah; Linghang Zeng

FinCast: A Foundation Model for Financial Time-Series Forecasting: Zhuohang Zhu; Haodong Chen; Qiang Qu; Vera Chung

What Hinders Electric Vehicle Diffusion? Insights from a Neural Network Approach: Bonacina, Monica; Demir, Mert; Sileo, Antonio; Zanoni, Angela

Stock Market Performance Prediction: A Comparative Study Between Econometric Models and Artificial Intelligence-Based Models: Manel Labidi; Ying Zhang; Matthieu Petit Guillaume; Aurélien Krauth

Left Leaning Models: AI Assumptions on Economic Policy

Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models

A Multi-Task Evaluation of LLMs' Processing of Academic Text Input: Tianyi Li; Yu Qin; Olivia R. Liu Sheng

Federal Reserve Communication and the COVID-19 Pandemic: Jonathan Benchimol; Sophia Kazinnik; Yossi Saadon

Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News: Mohammed-Khalil Ghali; Cecil Pang; Oscar Molina; Carlos Gershenson-Garcia; Daehan Won

Identifying Catalyst Technologies in Clusters with Unsupervised Machine Learning. An application on patent clusters in the UK: Zehra Usta; Martin Andersson; Katarzyna Kopczewska; Maria Kubara

A Financial Brain Scan of the LLM: Hui Chen; Antoine Didisheim; Luciano Somoza; Hanqing Tian

The Behavioral Signature of GenAI in Scientific Communication

Enhancing Trading Performance Through Sentiment Analysis with Large Language Models: Evidence from the S&P 500: Haojie Liu; Zihan Lin; Randall R. Rojas

An AI-powered Tool for Central Bank Business Liaisons: Quantitative Indicators and On-demand Insights from Firms: Nicholas Gray; Finn Lattimore; Kate McLoughlin; Callan Windsor

Using Machine Learning to Generate, Clarify, and Improve Economic Models

Sentiment-Aware Mean-Variance Portfolio Optimization for Cryptocurrencies

To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions: Dimitrios Emmanoulopoulos; Ollie Olby; Justin Lyon; Namid R. Stillman

Seeing Through Green: Text-Based Classification and the Firm's Returns from Green Patents: Lapo Santarlasci; Armando Rungi; Antonio Zinilli

Artificial Finance: How AI Thinks About Money: Orhan Erdem; Ragavi Pobbathi Ashok

Signal or Noise? Evaluating Large Language Models in Resume Screening Across Contextual Variations and Human Expert Benchmarks: Aryan Varshney; Venkat Ram Reddy Ganuthula

Verba volant, transcripta manent: what corporate earnings calls reveal about the AI stock rally: Ca' Zorzi, Michele; Manu, Ana-Simona; Lopardo, Gianluigi

Adaptive Market Intelligence: A Mixture of Experts Framework for Volatility-Sensitive Stock Forecasting

Deep Learning for Short Term Equity Trend Forecasting: A Behavior Driven Multi Factor Approach

Prompt-Response Semantic Divergence Metrics for Faithfulness Hallucination and Misalignment Detection in Large Language Models

Green Silence: Double Machine Learning Carbon Emissions Under Sample Selection Bias: Cathy Yi‐Hsuan Chen; Abraham Lioui; O. Scaillet

AlphaAgents: Large Language Model based Multi-Agents for Equity Portfolio Constructions: Tianjiao Zhao; Jingrao Lyu; Stokes Jones; Harrison Garber; Stefano Pasquali; Dhagash Mehta

Machine Learning Based Stress Testing Framework for Indian Financial Market Portfolios: Vidya Sagar G; Shifat Ali; Siddhartha P. Chakrabarty

Variable selection for minimum-variance portfolios: Guilherme V. Moura; Andr\'e P. Santos; Hudson S. Torrent

CATNet: A geometric deep learning approach for CAT bond spread prediction in the primary market: Dixon Domfeh; Saeid Safarveisi

Electricity Market Predictability: Virtues of Machine Learning and Links to the Macroeconomy: Jinbo Cai; Wenze Li; Wenjie Wang

The Behavioral Signature of GenAI in Scientific Communication

Event-Aware Sentiment Factors from LLM-Augmented Financial Tweets: A Transparent Framework for Interpretable Quant Trading: Yueyi Wang; Qiyao Wei

A Comparative Analysis of Statistical and Machine Learning Models for Outlier Detection in Bitcoin Limit Order Books

Stealing accuracy: Predicting day-ahead electricity prices with Temporal Hierarchy Forecasting (THieF): Arkadiusz Lipiecki; Kaja Bilinska; Nikolaos Kourentzes; Rafal Weron

Enhancing Cryptocurrency Sentiment Analysis with Multimodal Features: Chenghao Liu; Aniket Mahanti; Ranesh Naha; Guanghao Wang; Erwann Sbai

Machine Learning for Detecting Collusion and Capacity Withholding in Wholesale Electricity Markets: Jeremy Proz; Martin Huber

Linear and nonlinear econometric models against machine learning models: realized volatility prediction

Machine-learning regression methods for American-style path-dependent contracts: Gambara, Matteo; Livieri, Giulia; Pallavicini, Andrea

FX sentiment analysis with large language models: Daniele Ballinari; Jessica Maly

Probabilistic intraday electricity price forecasting using generative machine learning: Jieyu Chen; Sebastian Lerch; Melanie Schienle; Tomasz Serafin; Rafal Weron

Catching Bid-rigging Cartels with Graph Attention Neural Networks: David Imhof; Emanuel W Viklund; Martin Huber

Forecasting Climate Policy Uncertainty: Evidence from the United States: Donia Besher; Anirban Sengupta; Tanujit Chakraborty

SHAP Stability in Credit Risk Management: A Case Study in Credit Card Default Model: Luyun Lin; Yiqing Wang

Federal Reserve Communication and the COVID-19 Pandemic: Jonathan Benchimol; Sophia Kazinnik; Yossi Saadon

Blind Targeting: Personalization under Third-Party Privacy Constraints

Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks: Tomu Hirata; Undral Byambadalai; Tatsushi Oka; Shota Yasui; Shingo Uto

Kronos: A Foundation Model for the Language of Financial Markets: Yu Shi; Zongliang Fu; Shuo Chen; Bohan Zhao; Wei Xu; Changshui Zhang; Jian Li

Comparing Normalization Methods for Portfolio Optimization with Reinforcement Learning: Caio de Souza Barbosa Costa; Anna Helena Reali Costa