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A novel financial risk assessment model for companies based on heterogeneous information and aggregated historical data

机译：基于异构信息和汇总历史数据的新型公司财务风险评估模型

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摘要

The financial risk not only affects the development of the company itself, but also affects the economic development of the whole society; therefore, the financial risk assessment of company is an important part. At present, numerous methods of financial risk assessment have been researched by scholars. However, most of the extant methods neither integrated fuzzy sets with quantitative analysis, nor took into account the historical data of the past few years. To settle these defects, this paper proposes a novel financial risk assessment model for companies based on heterogeneous multiple-criteria decision-making (MCDM) and historical data. Subjective and objective indexes are comprehensively taken into consideration in the financial risk assessment index system of the model, which combines fuzzy theory with quantitative data analysis. Moreover, the assessment information obtained from historical financial information of company, credit rating agency and decision makers, including crisp numbers, triangular fuzzy numbers and neutrosophic numbers. Furthermore, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is used to determine the ranking order of companies according to their financial risk. Finally, an empirical study of financial risk assessment for companies is conducted, and the results of comparative analysis and sensitivity analysis suggest that the proposed model can effectively and reliably obtain the company with the lowest financial risk.
机译：金融风险不仅影响公司自身的发展，而且影响整个社会的经济发展。因此，公司财务风险评估是重要的组成部分。目前，学者们已经研究了许多金融风险评估方法。但是，大多数现有方法既没有将模糊集与定量分析结合在一起，也没有考虑到过去几年的历史数据。为了解决这些缺陷，本文提出了一种基于异构多准则决策（MCDM）和历史数据的新型公司财务风险评估模型。该模型在财务风险评估指标体系中综合考虑了主客观指标，将模糊理论与定量数据分析相结合。此外，评估信息是从公司，信用评级机构和决策者的历史财务信息中获得的，包括明晰数，三角模糊数和中智数。此外，通过类似于理想解决方案的优先顺序技术（TOPSIS）方法来确定公司根据其财务风险的排名顺序。最后，对公司财务风险评估进行了实证研究，比较分析和敏感性分析的结果表明，该模型可以有效，可靠地获得财务风险最低的公司。

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