In case of multiple source lending even solvent firms may be forced into bankruptcy due to uncoordinated credit withdrawals of their lenders. This paper analyzes whether a debtor firm can thwart such inefficient liquidations by offering creditors the option to delay their foreclosure decision...

Empirical evidence suggests that banks often engage in refinancing of intrinsically insolvent debtors instead of writing of their non-performing loans. Such forbearance lending may induce soft budget constraints for the debtors, as it diminishes their incentives to thwart default. This paper...

This paper analyzes loan pricing when there is multiple banking and borrower distress. Using a unique data set on SME lending collected from major German banks, we can instrument for effective coordination between lenders, carrying out a panel estimation. The analysis allows to distinguish...

This study examines the promise of reducing expected resolution costs of financial institutions through either voluntary or mandated addition of contingently convertible debt securities to their long-term financing mix. I model the stochastic process by which an initially very well capitalized...

In credit default prediction models, the need to deal with time-varying covariates often arises. For instance, in the context of corporate default prediction a typical approach is to estimate a hazard model by regressing the hazard rate on time-varying covariates like balance sheet or stock...

A personal bankruptcy law that allows for a 'fresh start' after bankruptcy reduces the individual risk involved in entrepreneurial activity. On the other hand, as risk shifts to creditors who recover less of their credit after a debtor's bankruptcy, lenders may charge higher interest rates or...

The time-continuous discrete-state Markov process is a model for rating transitions. One parameter, namely the intensity to migrate to an adjacent rating state, implies an ordinal rating to have an intuitive metric. State-specific intensities generalize the state-stationarity. Observing Markov...

Group-specific estimations can significantly improve the predictive power of accountingbased rating models. This is shown using a binary logistic regression model applied to the Deutsche Bundesbank's USTAN dataset, which contains 300,000 financial statements provided by German companies for the...

This paper presents a dynamic multi-equation model based on a balance sheet identity, where technical aspects of capital structure are highlighted through separately observing debt and equity and their relationship to investment. Additionally, leverage dynamics are interpreted in their role for...

Cyclicality in the losses of bank loans is important for bank risk management. Because loans have a different risk profile than bonds, evidence of cyclicality in bond losses need not apply to loans. Based on unique data we show that the default rate and loss given default of bank loans share a...