It has been proposed that the potential procyclicality of Basel II could be alleviated by using through-the-cycle (TTC) ratings in IRBA models. A TTC rating would be based on the structural component of the debtor's credit risk ignoring cyclical fluctuations. This paper tests for the existence...

This paper proposes a machine learning approach to estimate physical forward default intensities. Default probabilities are computed using artificial neural networks to estimate the intensities of the inhomogeneous Poisson processes governing default process. The major contribution to previous...

Secondary buyouts (SBOs) represent more than 50 percent of all buyouts in 2018. Even though general partners argue that SBOs are less attractive investment targets for buyouts and some empirical indication against an outperformance of SBOs exists, the share of SBOs continuously increases....

Within bank activities, which is normally defined as the joint exercise of savings collection and credit supply, risk-taking is natural, as in many human activities. Among risks related to credit intermediation, credit risk assumes particular importance. It is most simply defined as the...

Probability of default prediction is one of the important tasks of rating agencies as well as of banks and other financial companies to measure the default risk of their counterparties. Knowing predictors that significantly contribute to default prediction provides a better insight into...

We investigate whether and how business credit information sharing helps to better assess the default risk of private firms. Private firms represent an ideal testing ground because they are smaller, more informationally opaque, riskier, and more dependent on trade credit and bank loans than...