Many firms react very late or improperly facing the first signs of distress. This delay generally results from a lack of understanding of the mechanisms and causes the degradation of process and an obvious lack of foresight. This journal aims to develop a model for predicting corporate default based on a logistic regression (logit) and applied to the case of Tunisia. The following is our one page summary.

Data Panda2

Keywords: distressed firms, forecasting model, logistic regression model.

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Team Name: Data Panda

Team Members: QIN SI, NIE BIXUAN, ZHANG DONGXUE, LIUCONG

 

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