This paper evaluates the impact of accounting and market-driven information on the prediction of bankruptcy for Greek firms using the discrete hazard approach. The findings show that a hazard model that incorporates three accounting ratio components of Z-score and three market-driven variables...

This paper studies bankruptcy law in Latin America, focusing on the Brazilian reform. We start with a review of the international literature on this subject. Next we examine the economic incentives associated with several aspects of bankruptcy laws and insolvency procedures in general, as well...

This paper explores the business cycle implications of financial distress and bankruptcy law. We find that due to the presence of financial imperfections the effect of liquidations on the price of capital goods can generate endogenous fluctuations. We show that a law reform that...

We apply computational linguistic text mining (TM) analysis to extract and quantify relevant Chinese financial news in an attempt to further develop the classical early warning models of financial distress. Extending the work of Demers and Vega (2011), we propose a measure of the degree of...

In a financial contracting model, we study the optimal debt structure to resolve financial distress. We show that a debt structure where two distinct debt classes co-exist – one class fully concentrated and with control rights upon default, the other dispersed and without control rights...

This paper examines the effects of bank relationships on the likelihood and duration of the decision to file for reorganization for a sample of Taiwanese firms in default. We find that bank relationships significantly influence the likelihood and duration of a firm's decision on filing for...

This paper provides empirical evidence on the prediction of non-financial companies’ failure. We develop several models to evaluate failure risk in companies from Galicia. We check the predictive ability of parametric models (multivariate discriminant, logit) compared with auditor’s report....

Voting features based classifiers, shortly VFC, have been shown to perform well on most real-world data sets. They are robust to irrelevant features and missing feature values. In this paper, we introduce an extension to VFC, called voting features based classifier with feature construction,...

Recent financial crises and especially large corporate bankruptcies, have led bank managements and financial authorities to follow and monitor both financial and real sector risks, and to focus on firm failures. Bank of International Settlements, has therefore, taken the decision to include the...

High concentration of creditors can have two beneficial effects on borrowers: i) by enhancing lenders� ability to monitor, it can reduce the likelihood of financial distress; ii) by reducing coordination failure among creditors, it can help a distressed firm to avoid bankruptcy. However, a...