Financial distress precedes bankruptcy. Most financial distress models actually rely on
bankruptcy data, which is easier to obtain. We obtained a dataset of financially distressed but not …

The corporate failure literature contains a plethora of methodologies used to discriminate
between failed and nonfailed firms since Beaver’s (1 967) univariate comparison of financial …

Prior application of neural networks in finance and accounting, notably in bankruptcy
prediction, are limited to back-propagation neural networks. Their well-known disadvantages, …

The potential for industry-relative financial ratios to improve the prediction of firms in financial
distress motivated this comparison of model specifications based on either unadjusted or …

This paper examines how the composition and characteristics of corporate boards relates to
firms' success and solvency; the study here focuses on the question of insolvency. This …

For the most part, research purporting to address the issue of financial distress has actually
studied samples of bankrupt companies. Financial distress and bankruptcy are different. In …

This paper reconsiders the accepted usage of nondeflated financial ratios in statistical models
to differentiate between failed and nonfailed firms. Non‐deflated ratios are hypothesized …

Globalization has precipitated movement of output and employment between regions. We
examine factors related to corporate financial distress across three continents. Using a …

Sustainable growth rate defines the rate at which a company’s sales and assets can grow if
the company sells no new equity and wishes to maintain its capital structure. The traditional …

From Debra Ann Hatten-The Christian Science Monitor (Eastern edition) This book, written
for the nonfinancial reader, records conventional reasons for business failure: cash-flow …