Much work has been done in the last two decades to estimate the determinants of bankruptcy of large firms. Very little … work appears to have been attempted in the area of small firm bankruptcy. This paper goes some way to remedy the deficiency … by estimating conditional logistic probability regressions for small firm bankruptcy on a recently constructed U …

Heterogeneous learning rules, numerical simulations illustrate that bankruptcy on the part of borrowers arises sooner as they track …

Bankruptcy filings are as high today as ever, calling into question the efficacy of existing bankruptcy prediction … models. This paper tries to provide an alternative for bankruptcy prediction by integrated Multi Layered Perceptron with …

opinions for companies facing imminent bankruptcy. Design/methodology/approach – Using data from BankruptcyData.com the authors … identify US publicly-held, financially-distressed companies that filed bankruptcy from January 1, 2000 through June 30, 2009 …

Purpose – Recent bankruptcy research uses hazard models and extensive samples of companies. The large samples used have … variables are omitted from hazard bankruptcy prediction models. Design/methodology/approach – The sampling frame is publicly … regression to choose variables for parsimonious bankruptcy prediction models to validate hypotheses. Loan default status and …

This study examines the effects of bankruptcy protection on the stock market behavior of US airlines and their domestic … the time of filing for bankruptcy. During the close-to-3 years after filing, however, these airlines experience …

A division rule for claims problems, also known as bankruptcy or rationing problems, based on the pseudo …

In this paper, we propose a new extension of the run-to-the-bank rule for bankruptcy situations to the class of multi …