The dependency of the individual default behavior of a firm on the state of the credit cycle is widely implemented in credit portfolio models and ultimately reflected in the Basel II one-factor model determining capital requirements. Despite this, macroeconomic variables able to represent this...

It is well known that credit ratings agencies (CRAs) are a key component of financial markets. But it is less well understood that its decisions reach far beyond the financial system boundaries, and have a direct impact in our daily lives. But, how is that so? If CRAs are important in the...

This paper examines the change in the regulatory use of multiple credit ratings after the Dodd-Frank Act (Dodd-Frank). We find that post Dodd-Frank reform, firms are less likely to demand a third rating (typically from Fitch) for ratings near the high yield (HY) - investment grade (IG) boundary...

Using the Credit Rating Agency Reform Act of 2006, we examine the credibility of mandatory disclosure by credit rating agencies (CRAs) on managerial learning from stock prices. We find an increase in investment-price sensitivity for firms affected by the Act. Consistent with managers relying...

Information about credit quality is uncertain and varies across debt maturity. We show that an ambiguity-averse firm manager will avoid maturities with ambiguous credit information. We thus hypothesize that firms choose maturity structures where perceived credit quality uncertainty is lower....

There is empirical evidence and objective argument, which justifies the core functioning of money in economic growth and its correlation to the development of a Nation, which equally establishes the reason for the relevant role of Banks in every economy. The underpinning of this research is to...

This paper explores the implications of systemic risk in Credit Structured Finance (CSF). Risk measurement issues loomed large during the 2007-08 financial crisis, as the massive, unprecedented number of downgrades of AAA senior bond tranches inflicted severe losses on banks, calling into...

This paper demonstrates how deep learning can be used to price and calibrate models of credit risk. Deep neural networks can learn structural and reduced-form models with high degrees of accuracy. For complex credit risk models, whose closed-form solutions are not available, deep learning offers...

The credit rating agencies in the sphere of international finance and the global economy in general perform an important information function. Nevertheless, their activity has been largely discredited recently due to the big number of internal and external factors. Without claiming to solve all...

We show that mutual funds use information acquired by participating in the equity lending market to make portfolio allocation decisions. Using data from German mutual funds on their stock-level lending decisions, we find that funds lending shares are more likely to exit positions relative both...