In this paper, we compare different methods for computing default probabilities using a sample of banks that experienced financial distress during the 2007–2009 global financial crisis. The traditional KMV-Merton model for firm valuation, credit ratings by rating agencies and a recently...

We present a stochastic simulation model for estimating forward-looking corporate probability of default and loss given default. We formulate the model in a discrete time frame, apply capital-budgeting techniques to define the relationships that identify the default condition, and solve the...

While there is an increasing interest in crypto-assets, the credit risk of these exchanges is still relatively unexplored. To fill this gap, we consider a unique data set on 144 exchanges active from the first quarter of 2018 to the first quarter of 2021. We analyze the determinants of the...

Many firms choose to refinance their debt. We investigate the long run effects of this extended practice on credit ratings and credit spreads. We find that debt refinancing generates systematic rating downgrades unless a minimum firm value growth is observed. Deviations from this growth path...

I use the 2007-2008 financial crisis to gauge how internal financial resources and external financial constraints mitigate or worsen the impact of the crisis on default risk of US industrial firms. I identify heterogeneity in short-term funding needs at the onset of the crisis by exploiting...

We propose an explanation for default contagion based on a Lucas model with two independent debt-financed trees. The transmission mechanism is that variations in the size of one tree impact the level of risk premium and the default decision for all borrowers. If a negative shock hits one tree,...

Over the past decade, as a result of rapid growth of the loan portfolio and the financial crisis, importance of credit risk analysis has increased worldwide. After the global financial crisis, more attention has been paid to loan granting process by various researchers and financial market...

This study aims to evaluate the techniques used for the validation of default probability (DP) models. By generating simulated stress data, we build ideal conditions to assess the adequacy of the metrics in different stress scenarios. In addition, we empirically analyze the evaluation metrics...