基于云模型的证券公司竞争力评价方法

An Approach for Evaluating Securities Companies Based on Cloud Model

摘要:

旨在构建证券公司评价体系，分析我国上市证券公司的综合竞争力，为证券公司评级提供参考。提出了以云模型和灰色关联分析-逼近理想解（GRA-TOPSIS）方法为基础的证券公司综合竞争力评价模型。其中，云模型可以较好反映出决策者评价信息的模糊性和随机性，GRA-TOPSIS方法综合了灰色关联分析（GRA）和逼近理想解（TOPSIS）方法的优点，有利于确定证券公司评价指标的权重和证券公司综合竞争力的排序。以中国上市的30家证券公司作为实际案例，验证了模型的有效性，并提出了相应的建议。

Abstract:

This paper aims to construct the evaluation framework of securities companies， analyze the comprehensive competitiveness of listed securities companies in China， and provide reference for the ratings of securities companies. Therefore， a comprehensive competitiveness evaluation model for securities companies is proposed based on cloud model and grey relation analysis-technique for order preference by similarity to an ideal solution（GRA-TOPSIS） method. Besides， the cloud model is used to reflect the fuzziness and randomness of decision-makers’ evaluation information. The GRA-TOPSIS method is conducive to determining the weights of evaluation criteria of securities companies and the ranking of the candidate securities companies by combining the advantages of GRA and TOPSIS. Moreover， 30 securities companies listed in China are utilized to verify the validity of the model. Furthermore， some suggestions are proposed for securities companies to improve their competence.