We develop a framework to simultaneously compute the unobservable parameters underlying the structural-parametric models for bankruptcy prediction. More specifically, we compute the unobservable parameters such as, asset value and asset volatility, through learning by embedding in the structural...

In this paper, we estimate coefficients of bankruptcy forecasting models, such as logistic and neural network models, by maximizing their discriminatory power as measured by the Area Under Receiver Operating Characteristics (AUROC) curve. A method is introduced and compared with traditional...

The recent financial crisis has clearly highlighted the importance of the timely identification of weak banks. This paper introduces and analyses a unique sample of EU banks, which faced distress during 2008-2015 and provides evidence regarding the relationship between distress and bank-specific...