英文摘要 |
This research applies discriminant analysis, factor analysis, and score-method to establish the forewarning system of solvency and insolvency for the life insurance companies in Taiwan. Owing to insufficient data of the inland insolvent companies, so in this research we use the estimated RBC ratio first and fit with the normal distribution concept to obtain the ranks of evaluation to discriminate the solvent companies and the insolvent companies. On the other hand, apply factor analysis to reduce the variables into five factors, which are defined as ”benefit ability index,” ”management ability index,” ”financial structure index,” ”non-performing loans index” and ”debt paying ability index.” Finally, apply the linear discriminant analysis and logistic regression analysis, then combine with ”all variables” and ”stepwise discriminant” two types, then match with three sample types, which are ”1:1, ” ”2:1” and ”the whole data,” altogether twelve kinds of models, to establish the appropriate forewarn models of insolvency for life insurance industry. |