This paper examines the determinants of firm sustainability in Estonia using discrete-time survival analysis with a complementary log-log hazard function. A firm is defined as sustainable if it meets the minimum capital requirement set by the law, and if it does not then it is described as being...

In this paper we empirically study interactions between real activity and the financial stance. Using aggregate data we examine a number of candidate measures of the financial stance of the economy. We find strong evidence for substantial spillover effects on aggregate activity from our...

We demonstrate improvements in predictive power when introducing spline functions to take account of highly non-linear relationships between firm failure and earnings, leverage, and liquidity in a logistic bankruptcy model. Our results show that modeling excessive non-linearities yields...

In this paper we investigate what happens to firms after they default on their bank loans. We approach this question by establishing a set of stylized facts concerning the evolution of default and its resolution, focusing on access to credit after default. Using a unique dataset from Portugal,...

The economic crisis of the late 2000s has led many manufacturing companies to abandon the market as a result of poor performance or financial difficulties. The purpose of this study is to analyze the static and dynamic factors that play a role in prompting a company to exit the market. The...

In credit default prediction models, the need to deal with time-varying covariates often arises. For instance, in the context of corporate default prediction a typical approach is to estimate a hazard model by regressing the hazard rate on time-varying covariates like balance sheet or stock...

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...

In this paper we apply a simple hazard model to develop an early warning system of bank distress in the Gulf Cooperation Council countries. Specifically, we identify a set of leading indicators of bank distress that are used subsequently to predict the probability of bank failure in these...

We develop distress prediction models for non-financial small and medium enterprises (SMEs) using a dataset from eight European countries over the period 2000-2009. We examine idiosyncratic and systematic covariates and find that macro conditions and bankruptcy codes add predictive power to our...

In this paper we empirically study interactions between real activity and the financial stance. Using aggregate data we examine a number of candidate measures of the financial stance of the economy. We find strong evidence for substantial spillover effects on aggregate activity from our...