Credit risk is influenced by interest rates and market liquidity. This paper examines the direct and indirect impacts of unexpected monetary policy shifts on the growth of corporate credit risk, with the aim of quantifying the size and direction of the response. The results surprisingly indicate...

The study investigates the role of credit risk in a continuous time stochastic asset allocation model, since the traditional dynamic framework does not provide credit risk flexibility. The general model of the study extends the traditional dynamic efficiency framework by explicitly deriving the...

Modeling portfolio credit risk involves the default dependencies between the individual securities in a portfolio. The copula is a common approach to construct it. It parameterizes the joint distribution of individual defaults independently of their marginal distributions. The current market...

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....

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...

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...

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...