A concern often raised in relation to the U.S. bankruptcy regime is the high level of control over proceedings enjoyed by secured lenders. In particular, through the use of the arsenal of provisions in debtor-in-possession (DIP) financing, secured lenders can quickly effectuate asset sales....

With falling home prices and home foreclosures currently acknowledged as a severe problem in the U.S., more attention needs to be paid to the contributing phenomenon of residential developers undergoing liquidation, which has left behind a trail of partially-completed or abandoned properties. In...

We examine the relationship between corporate governance and default risk for a sample of firms cited in the Securities and Exchange Commission's (SEC's) Accounting and Auditing Enforcement Releases (AAERs). Using hazard analysis of actual default incidence and OLS regressions of a continuous...

I explore an unintended consequence of the recent Indian bankruptcy reform, the Insolvency and Bankruptcy Code, 2016 (IBC), on the sticky cost behaviour of firms. I find that while there exists stickiness among Indian firms, in general (i.e., costs increase by approximately 0.36% per 1% increase...

This article presents a financial scoring model estimated on Czech corporate accounting data. Seven financial indicators capable of explaining business failure at a 1-year prediction horizon are identified. Using the model estimated in this way, an aggregate indicator of the creditworthiness of...

Modelling the link between the global macro-financial factors and firms’ default probabilities constitutes an elementary part of financial sector stress-testing frameworks. Using the Global Vector Autoregressive(GVAR) model and constructing a linking satellite equation for the firm-level...

Traditional methods for evaluating corporate credit risk rarely consider the impact of the macro economy on corporate value and performance. We argue that lenders and management can obtain valuable information about the need for and approach to restructuring by decomposing default predictions...

Die Prognose der Insolvenzgefährdung von Unternehmen anhand statistischer Methodik war und ist eine bedeutende Aufgabe empirischer Forschung. Eine Möglichkeit der Beurteilung der finanziellen bzw. wirtschaftlichen Verfassung von Unternehmen stellt die sog. externe Bilanzanalyse anhand...

Predicting default probabilities is important for firms and banks to operate successfully and to estimate their specific risks. There are many reasons to use nonlinear techniques for predicting bankruptcy from financial ratios. Here we propose the so called Support Vector Machine (SVM) to...

We empirically investigate the determinants of successful debt restructurings fora sample of 116 financially distressed companies in Germany between 1997 and 2004.Of the sampled firms, about half successfully restructure their debt in a workoutwhile the other half fail and file an insolvency...