Textual analysis of the Federal Reserve Beige Book from 1970 to 2025 to explore whether anecdotal economic information matters.
Using earnings call textual analysis to measure how supply chain bottlenecks translated into price increases during the post-COVID period.
Evaluating high-frequency shipping data as a real-time trade indicator, with applications to tracking COVID-19's impact on U.S. trade.
Ensemble machine learning and association rules mining to improve agricultural trade during outlier events.