Employing a statistical model-building strategy, this study aims to empirically analyse the United States' bank failures across different size categories (small, medium, and large). Our results suggest that factors associated with bank failures vary across respective size categories, and the...

In this study, we propose a set of covariates that exploit information content of hedge funds' relative size, performance, growth, tail risk, and past liquidation rate, in predicting their liquidation. Empirical results show that our proposed covariates exhibit significant predictive power for...

A huge diversity exists within the broad category of SMEs. They differ widely in their capital structure, firm size, access to external finance, management style, numbers of employees etc. We contribute to the literature by acknowledging this diversity while modeling credit risk for them, using...

This study aims to shed light on the debate concerning the choice between discrete-time and continuous-time hazard models in making bankruptcy or any binary prediction using interval censored data. Building on the theoretical suggestions from various disciplines, we empirically compare widely...

This study acknowledges the diversity between micro, small and medium-sized firms while predicting bankruptcy and financial distress of United States small and medium-sized enterprises. Empirical findings suggest that survival (failure) probability increases (decreases) with increasing firm size...