Reseach On The Index Weighting Method Of Credit Rating Evaluation

European debt crisis intensified since the outbreak of the debt crisis in Greece, from Greece to Ireland, spreading from Spain to Italy, and finally the entire euro zone has been a heavy drag on the dangerous for the sovereign debt crisis of the countries in south of Europe. Before the onset of the debt crisis, the three international rating agencies not only failed to timely warning to the contrary, when the crisis hit, the sharp decline in the national level, no doubt exacerbated by the economic turmoil in Europe. Short term indirectly connected downgraded, in a way, means that the failure of its previous rating, openly admitted that their previous rating not sufficiently forward-looking, and also shows the flaws of the evaluation methods exist ulterior. In China, as the world’s largest debtor but its’sovereign credit rating was long underestimated, the real estate industry and banking industry has been sung empty by the Western rating agencies, resulting in instantaneous evaporation of the vast wealth of China’s banking industry and real estate industry, but we have no countermeasures.Based on the depth analysis of the current credit evaluation system, we found most of them use expert evaluation method, expert scoring method is too subjective, overly rely mainly on expert experience, resulting in a lack of objectivity and accuracy of the final results of the evaluation. Weight obtained by a simple weighted to explain the credit risk, nor can better reflect the credit risk of the formation of the particularity. To this end, this paper put forward on the basis of expert scoring credit evaluation based on the traversal parameters. Traversal parameter method combines all the opinions of experts, reduce the expert scoring bias tolerate some deviation score of the evaluation of the corresponding elements, and to some extent solve the contradiction between the risk of the formation the particularity and evaluation required consistency.Traverse parameters do a good improvement to traditional expert scoring method, but essentially still a subjective evaluation method, and the many factors affecting the credit risk, the traditional indicators weight large only consider each indicator itself neglect contact between indicators. Next we combined with subjective and objective, through index system empowered by expert scoring and use structural equation model. Judge the importance of each indicator by experts, and then using the weight of structural equation model based on the observation of variable factors load factor to determine the interpretation of the latent variable indicators, while the structural relationship between the latent variables and factors influencing the collinearity overcome purely subjective weighting in human factors interfere with, meet credit rating highly subjective requirements, but also to ensure the objectivity of the Index Weighting, while analysis of the relationship between the influencing factors of evaluation the model was validated.