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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lijun Li Lei Wang Liping Yu |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Business Administration, Northeastern University, Shenyang, Liaoning, China, 110000 (Lijun Li; Lei Wang; Liping Yu) |
| Abstract | The purpose of this paper is to study the problem about financial risk early-warning of listed companies in the supply chain environment. Based on a comprehensive overview of the issue of listed companies' financial risk early warning, it tries to build a warning model of the core enterprise's financial risk in the supply chain environment, and does a case study to test its practicality. The model, which integrates a number of mature theories and early-warning models, uses the method of modern technology, statistical tools and financial risk management theory. This paper studies the financial early-warning methods of listed companies in supply chain environment, and provides a comprehensive early-warning program, which can identify the potential risks. The improved traditional early-warning model is introduced into a new area. The system of financial indexes and non-financial indexes are re-established, considering the particularity of financial risks in supply chain environment, indexes related are reselected. |
| Starting Page | 3441 |
| Ending Page | 3445 |
| File Size | 362238 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457720734 |
| e-ISBN | 9781457720741 |
| DOI | 10.1109/CCDC.2012.6244548 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-23 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Analytical models Supply chain management Supply chains Companies Efficacy coefficient method Financial risk early-warning Listed companies Marketing and sales Indexes Risk management Standards |
| Content Type | Text |
| Resource Type | Article |
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