Focusing on predicting the bankruptcy of small and medium size enterprises (SMEs) through the use of publicly available financial data, bankruptcy models are created that attempt to establish the relationship between bankruptcy and a number of financial ratios. Bankruptcy models were developed...

In this paper we use a reduced form model for the analysis of Portfolio Credit Risk. For this purpose, we fit a Dynamic Factor model, DF, to a large dataset of default rates proxies and macrovariables for Italy. Multi step ahead density and probability forecasts are obtained by employing both...

In this paper we use a reduced form model for the analysis of Portfolio Credit Risk. For this purpose, we fit a Dynamic Factor model, DF, to a large dataset of default rates proxies and macrovariables for Italy. Multi step ahead density and probability forecasts are obtained by employing both...

Balance sheet and income statement provide potentially vast volumes of information. Despite the large number of predictive variables, in most cases, the user cannot make a judgment easily about the survival of a company. In this paper, we indicate a set of useful variables for failure prediction...

Bankruptcy is the legal status for an individual or company unable to pay off outstanding debt. It is a status that can only be granted by a state or federal court..Predication of Bankruptcy is critical task. Early stage of identification of likelihood of solvency may avoid evils in the near...