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Financial Crisis Early Warning Model for Universities Based on Support Vector Machine


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Financial Crisis Early Warning Model for Universities Based on Support Vector Machine
School of Economics and Management,NUST,Nanjing 210094,China
universities financial crisis early warning support vector machines error back propagation neural network
In order to solve the problem of low prediction accuracy of the financial risk early warning(FREW)model for universities due to sample sparse,this paper presents a method based on support vector machine to construct a FREW model.Seven financial indexes from the 64 universities of China are selected.These index values divided into 3 categories—low,middle and heigh alarming are trained and tested.Compared with the error back propagation neural network model,the FREW model based on support vector machine is a more efficient way in the small sample data conditions.The results can provide an early warming monitor for the financial distress of universities.


[1] 邓敏,韩玉启. 基于数理推理和模式识别的财务困境预警模型[J]. 南京理工大学学报,2009,33 ( 6) : 834.
Deng Min,Han Yuqi. Pre-warning model of financial distress based on calculus derivation and pattern recognition [J]. Journal of Nanjing University of Science and Technology, 2009, 33( 6) : 834.
[2] Odour M D,Sharda R. A neural network model for bankruptcy prediction[J]. Conference on Neural Networks, 1990( 6) : 136-138.[3] Vapnik V N. The nature of statistical learning theory [M]. NY,USA: Springer Verlag, 1995.
[4] Fan A,Palaniswami M. A new approach to corporate loan default prediction from financial statements[A]. Proceedings of the Computational Financel / Forecasting Financial Markets Conference[C]. London ( CD) ,UK: 2000.
[5] 阎娟娟,孙红梅,刘金花. 支持向量机的上市公司财务危机预警模型[J]. 统计与决策, 2006( 6) : 158-159.
Yan Juanjuan,Sun Hongmei,Liu Jinhua. Financial crisis early warning model of listed corporations based on support vector machine[J]. Statistics and Decision, 2006( 6) : 158-159.
[6] 赵冠华. 基于遗传算法和熵的缩减记忆式LS-SVM 财务困境预测模型研究[J]. 运筹与管理, 2010( 5) : 71-77.
Zhao Guanhua. Study on financial distress of prediction model of least square support vector machine of memory-reduced algorithm based on genetic algorithm and entropy[J]. Operations Research and Management Science, 2010( 5) : 71-77.
[7] 钟冲,郭强. 费歇尔判别法及其应用[J]. 西南交通大学学报, 2008( 2) : 136-141.
Zhong Chong,Guo Qiang. Fisher discrimination method and its application[J]. Journal of Southwest Jiaotong Universit, 2008( 2) : 136-141.
[8] 杨周复,施建军. 大学财务综合评价研究[M]. 北京: 中国人民大学出版社, 2002: 160-199.
[9] 陈东平,杨希. BP 模型与Fisher 函数在高校风险识别中的差异[J]. 经济研究导刊, 2007( 14) : 123-125.
Cheng Dongping,Yang Xi. Differences of risk identification between BP model and fisher function in universities [J]. Economic Research Guide,2007 ( 14) : 123 -125.


Last Update: 2012-10-12