出版社：LLC “Consulting Publishing Company “Business Perspectives”
摘要：Prediction of insurance companies insolvency has arised as an important problem in the field of financial research,in order to protect both Society and customers and minimize the costs associated with this issue.Most methods applied in the past to tackle this question are traditional statistical techniques which use financial ratios as explicative variables.However,these variables often do not satisfy statistical assumptions,what complicates the application of the mentioned methods. In this paper,a comparative study of the performance of a well-known parametric statistical technique(Linear Discriminant Analysis)and a non-parametric machine learning technique (See5)is carried out.We have applied the two methods to the problem of the prediction of insol?vency among Spanish non-life insurance companies upon the basis of a set of financial ratios.Re?sults indicate a higher performance of the machine learning technique,which shows that this method can be a useful tool to evaluate insolvency of insurance firms.
