Corporate Financial Risk Assessment and Role of Big Data; New Perspective Using Fuzzy Analytic Hierarchy Process

Technological progress can help in the systematization of information linked with customer sentiments regarding the enterprise and products. This information can help incorporate decision-making and reduces financial risk. This study puts forward the theory of the impact of big data on corporate financial risk assessment, integrates big data public opinion indicators into the traditional corporate financial risk assessment index. The empirical outcomes are obtained using the Fuzzy Analytic Hierarchy Process. The results show that big data indicators, especially negative sentiment index have a more profound effect on corporate financial risk. In addition, profitability got the highest weightage in our case. A risk assessment model built with big data indicators can effectively correct the original assessment model's shortcomings and improve risk assessment results. Therefore, the financial risk assessment model that incorporates big data indicators shows better performance.