Financial Risk Management of Listed Companies Based on Mobile Edge Computing

Abstract

As more and more listed companies have more and more operating experience, they are all paying more attention to the importance of financial risks, and they all hope to detect financial risks in a timely manner and intervene in the company's operation process. However, the existing business risk management cannot fully identify the more and more hidden risks in modern times. Based on this, the purpose of this article is to assess the financial risk of publicly traded corporations and summarizes a suitable risk evaluation model. For the identification of financial risks, this study presents a mobile edge computing-based financial risk evaluation approach for publicly traded corporations. The evaluation indicators are stratified into three levels, and mobile edge computing is used to optimize the weights. The download calculation for mobile edge computing is also optimized and analyzed. Experiments show that the indicators selected in this paper are very suitable for the study of financial risk management of listed companies. The three-year comprehensive index scores of Company X are 0.60, 0.42, and 0.42, respectively. It can be seen that the index is more suitable for the actual risk. It can be considered that the financial risk evaluation model of listed companies in this paper has better performance.