Bankruptcy prediction is currently a widely researched topic, as it typically results from a chain of negative events. Logistic Regression (LR) is one of the standard prediction tools; however, with advances in technology, machine learning (ML) methods are gaining prominence and demonstrating...

Mexico liberalized natural gas prices in 2017 by establishing the National Wholesale Natural Gas Price Index (IPGN). This institutional change created observable conditions where prices could deviate from efficiency. We classified these deviations into three regimes: stability, overestimation...

This paper develops an early warning system for predicting distress for large European banks. Using a novel definition of distress derived from banks' headroom above regulatory requirements, we investigate the performance of three machine learning techniques against the traditional logistic...