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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liu Jian-guo She Yuan-guan Li Yan |
| Copyright Year | 2006 |
| Description | Author affiliation: Sch. of Manage., Univ. of Sci. & Technol. (Liu Jian-guo; She Yuan-guan; Li Yan) |
| Abstract | This paper establishes a framework of nonlinear combination forecasts that predicts corporate strategic risk based on unascertained measure and neural network. Firstly, a multidimensional indicator system is proposed for the prediction of corporate strategic risk, in which strategic risk levels is divided into strategic financial risk, competitive risk and relative performance risk. Secondly, the unascertained measure model is proposed to assess the strategic risk on the basis of three-layer indicator system. Thirdly, the multiple regression model and Logit model are introduced to assess the financial risk. Finally, the combined forecasting model based on neural network is presented to predict the strategic risk. Computational experiment result shows that the proposed method performs better than others in forecasting strategic risk for listed firms |
| Sponsorship | Nat. Natural Sci. Found. of China Harbin Inst. of Technol. P.R. China |
| Starting Page | 2261 |
| Ending Page | 2265 |
| File Size | 5587813 |
| Page Count | 5 |
| File Format | |
| ISBN | 7560323553 |
| DOI | 10.1109/ICMSE.2006.314168 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-05 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | HARBIN INSTITUTE OF TECHNOLOGY |
| Subject Keyword | Multidimensional systems Decision making Prediction methods Predictive models Regression analysis Neural network Strategic risk Strontium Technology management Neural networks Statistical model Unascertained measure Technology forecasting Risk management Combining forecast |
| Content Type | Text |
| Resource Type | Article |
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