Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly financial investment and lending. The potential value of such models is emphasised by the extremely costly failure of high-profile companies in the recent past. Consequently, a...

This paper presents fresh findings about key determinants of credit risk of commercial banks in emerging economy banking systems compared with developed economies. Australia, France, Japan and the US represent developed economies; emerging economies are India, Korea, Malaysia, Mexico and...

Existing literature has focused attention on the impact of Basle I and similar capital requirement regulations on developed countries where such regulations were found to be effective in increasing capital ratios and reducing portfolio credit risk of commercial banks. In the present study, we...

This research deals with some statistical modeling problems that are motivated by credit risk analysis. Credit risk modeling has been the subject of considerable research interest in finance and has recently drawn the attention of statistical researchers. In the first chapter, we provide an...

Existing literature has focused attention on the impact of Basle I and similar capital requirement regulations on developed countries where such regulations were found to be effective in increasing capital ratios and reducing portfolio credit risk of commercial banks. In the present study, we...

We provide an empirical support for theories of lender specialization using the recently developed market for Debtor-in-Possession (DIP) financing. The legal environment in which DIP financing operates represents a natural laboratory for testing determinants of lending specialization (e.g....

Chapter 1 is a critique of a highly influential paper in corporate governance. Chhaochharia and Grinstein (2009) estimate that CEO pay decreases 17% more in firms that were not compliant with the recent NYSE/Nasdaq board independence requirement than in firms that were compliant. We document...

Informes recientes muestran la creciente adopción en el sector financiero de técnicas de aprendizaje automático o machine learning (ML) en la gestión del riesgo de crédito. En este entorno, los supervisores se encuentran ante el reto de permitir que se maximicen las oportunidades derivadas...