| 基于SVM的房地产财务决策风险预测及敏感性分析 |
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| 引用本文： | 解继超,邓晓盈,朱海涛.基于SVM的房地产财务决策风险预测及敏感性分析[J].价值工程,2014(29):189-190. |
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| 作者姓名： | 解继超 邓晓盈 朱海涛 |
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| 作者单位： | 昆明理工大学建筑工程学院,昆明,650224 |
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| 摘 要： | 本文以房地产上市公司的财务数据为参考依据,结合相关性分析,筛选并建立影响财务风险的指标体系;利用支持向量机建立财务风险分析预测模型;并使用灰色关联理论对指标进行敏感性分析,从而得到影响财务风险最敏感的指标。
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| 关 键 词： | 房地产 财务风险 预测 支持向量机 敏感性 |
Sensitivity Analysis and Risk Prediction of Real Estate Financial Decisions Based on SVM |
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| XIE Ji-chao,DENG Xiao-ying,ZHU Hai-tao.Sensitivity Analysis and Risk Prediction of Real Estate Financial Decisions Based on SVM[J].Value Engineering,2014(29):189-190. |
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| Authors: | XIE Ji-chao DENG Xiao-ying ZHU Hai-tao |
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| Institution: | ( Faculty of Civil Engineering and Architecture, Kunming University of Science and Technology, Kunming 650224, China ) |
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| Abstract: | In this paper, the financial data of listed real companies is referred. Combined with correlation analysis, screening and establish the indicator system impact of financial risk. The SVM is used to establish the forecasting models of financial risk analysis. The gray relational theory is used to analyze sensitivity and the most sensitive indicators of the impact of financial risk is obtained. |
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| Keywords: | real estate financial risk prediction support vector machine sensitivity |
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