Research Article
Evaluation and Prognosis Analysis of Corporate Financial Risks Based on Big Data Context
@INPROCEEDINGS{10.4108/eai.19-5-2023.2334402, author={Qu Rong}, title={Evaluation and Prognosis Analysis of Corporate Financial Risks Based on Big Data Context}, proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China}, publisher={EAI}, proceedings_a={ICBBEM}, year={2023}, month={7}, keywords={big data; corporate finance; risk assessment; prognostic analysis}, doi={10.4108/eai.19-5-2023.2334402} }
- Qu Rong
Year: 2023
Evaluation and Prognosis Analysis of Corporate Financial Risks Based on Big Data Context
ICBBEM
EAI
DOI: 10.4108/eai.19-5-2023.2334402
Abstract
With the rapid development of the Chinese economy, Chinese manufacturing companies have grown rapidly in this context, but along with this development comes many difficulties for these manufacturing companies. In addition, the outbreak of the new crown epidemic has increased the risk to these manufacturing companies, and among these risks, financial risk is particularly important, so it is even more important to be able to evaluate financial risk effectively. However, most companies only consider the impact factors of financial indicators when evaluating financial risk, while ignoring the impact factors of non-financial indicators, which inevitably results in an overly one-sided and inaccurate financial risk evaluation. Therefore, companies has to balance financial data information and non-financial data information when evaluating financial risks. The issue tracking system is an important part of Github and is used by an increasing number of users and developers to submit issue reports. Github provides a tagging mechanism to speed up the processing of issues. Tags allow developers to keep track of issue types and prioritise their processing, but the use of tags is still rare on Github, largely due to the manual nature of tag allocation.