NEP-BIG: Big data

Predicting Household Water Consumption Using Satellite and Street View Images in Two Indian Cities: Qiao Wang; Joseph George

Prompting for Policy: Forecasting Macroeconomic Scenarios with Synthetic LLM Personas: Giulia Iadisernia; Carolina Camassa

Nearest Neighbor Matching as Least Squares Density Ratio Estimation and Riesz Regression

Monetary Policy Shocks: A New Hope. Large Language Models and Central Bank Communication.

Environmental Complexity and Respiratory Health: A Data-Driven Exploration Across European Regions: Resta, Onofrio; Resta, Emanuela; Costantiello, Alberto; Liuzzi, Piergiuseppe; Leogrande, Angelo

TABL-ABM: A Hybrid Framework for Synthetic LOB Generation: Ollie Olby; Rory Baggott; Namid Stillman

The Prestakes of Stock Market Investing: Francesco Bianchi; Do Q. Lee; Sydney C. Ludvigson; Sai Ma

ChatGPT in Systematic Investing -- Enhancing Risk-Adjusted Returns with LLMs: Nikolas Anic; Andrea Barbon; Ralf Seiz; Carlo Zarattini

Europe in the Headlines: What Two Decades of French News Reveal about EU Sentiment: Camille Jehle; Florian Le Gallo

A Quantitative Approach to Central Bank Haircuts and Counterparty Risk Management

Causal and Predictive Modeling of Short-Horizon Market Risk and Systematic Alpha Generation Using Hybrid Machine Learning Ensembles

Direct Debiased Machine Learning via Bregman Divergence Minimization

Technical Analysis Meets Machine Learning: Bitcoin Evidence: Jos\'e \'Angel Islas Anguiano; Andr\'es Garc\'ia-Medina

Exact Terminal Condition Neural Network for American Option Pricing Based on the Black-Scholes-Merton Equations: Wenxuan Zhang; Yixiao Guo; Benzhuo Lu

Robust Yield Curve Estimation for Mortgage Bonds Using Neural Networks: Sina Molavipour; Alireza M. Javid; Cassie Ye; Bj\"orn L\"ofdahl; Mikhail Nechaev

Bridging Language Barriers: The Impact of Large Language Models on Academic Writing: Dalaman, Burak; Kalay, Ali Furkan; Kettlewell, Nathan

How Did People Tweet against Inflation in Japan?: SEKINE, Toshitaka; WADA, Tetsuro

A Multi-Layer Machine Learning and Econometric Pipeline for Forecasting Market Risk: Evidence from Cryptoasset Liquidity Spillovers: Yimeng Qiu; Feihuang Fang

A Neural Network-VAR for Long-Term Forecasting: An Application to Monetary Policy Effects in the Euro Area: Diana Barro; Antonella Basso; Marco Corazza; Guglielmo Alessandro Visentin

Integrating Transparent Models, LLMs, and Practitioner-in-the-Loop: A Case of Nonprofit Program Evaluation: Ji Ma; Albert Casella

From Reviews to Actionable Insights: An LLM-Based Approach for Attribute and Feature Extraction: Khaled Boughanmi; Kamel Jedidi; Nour Jedidi

Spiking Neural Network for Cross-Market Portfolio Optimization in Financial Markets: A Neuromorphic Computing Approach: Amarendra Mohan; Ameer Tamoor Khan; Shuai Li; Xinwei Cao; Zhibin Li

Aligning Language Models with Investor and Market Behavior for Financial Recommendations: Fernando Spadea; Oshani Seneviratne

Bitcoin Price Forecasting Based on Hybrid Variational Mode Decomposition and Long Short Term Memory Network

Quantum Machine Learning methods for Fourier-based distribution estimation with application in option pricing: Fernando Alonso; \'Alvaro Leitao; Carlos V\'azquez

Disentangling Age, Time, and Cohort Effects in Income Inequality: A Proxy Machine Learning Approach: David Bruns-Smith; Emi Nakamura; Jón Steinsson

Parameter Proliferation in Nowcasting: Issues and Approaches—An Application to Nowcasting China’s Real GDP: Mr. Paul Cashin; Mr. Fei Han; Ivy Sabuga; Jing Xie; Fan Zhang

Sentiment and Volatility in Financial Markets: A Review of BERT and GARCH Applications during Geopolitical Crises: Domenica Mino; Cillian Williamson

Beating the Winner's Curse via Inference-Aware Policy Optimization: Hamsa Bastani; Osbert Bastani; Bryce McLaughlin

At-Risk Transformation for U.S. Recession Prediction: Rahul Billakanti; Minchul Shin