We propose a two-step filtering process using interest coverage ratio and default prediction models to measure the extent of “zombieism” globally: a phenomenon that describes the existence of companies that are insolvent but continue to survive due to unusual market conditions, financial...

SME default prediction is a long-standing issue in the finance and management literature. Proper estimates of the SME risk of failure can support policymakers in implementing restructuring policies, rating agencies and credit analytics firms in assessing creditworthiness, public and private...

Latin America is a growing financial market. The performance of its private sector corporations is critical, as inadequate performance and financial distress can result in losses for many people. This study analyses the efficacy of Logistic Regression (LR) and Random Forest (RF) techniques for...

In 2010, the world’s focus on the global financial crisis shifted from financial markets and institutions to sovereign debt, especially in Europe. This has motivated a re-examination of techniques and traditional indicators to assess the health of individual countries. Since the potential...

This paper provides a synthesis of the theoretical literature on financial distress. It employs a two-state framework, which more clearly captures the generalizations of the more complex models. The equation systems that are derived permit the development of a series of examples that convey the...

This paper analyzes the association between default and recovery rates on credit assets and seeks to empirically explain this critical relationship. We examine recovery rates on corporate bond defaults over the period 1982–2002. Our econometric univariate and multivariate models explain a...