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

Huaiwen Zhang et al.

Romanian Journal of Economic Forecasting2021article
ABDC C
Weight
0.59

What the paper says

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.

13 citations

Cite this paper

@article{huaiwen2021,
  title        = {{Corporate Financial Risk Assessment and Role of Big Data; New Perspective Using Fuzzy Analytic Hierarchy Process}},
  author       = {Huaiwen Zhang et al.},
  journal      = {Romanian Journal of Economic Forecasting},
  year         = {2021},
}

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

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Evidence weight

0.59

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.62 × 0.4 = 0.25
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.