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Enterprise Risk Evaluation and Forecast Based on Dynamic Bayesian Network Model- Evidence of Chinese Listed Companies

机译:动态贝叶斯网络模型的企业风险评估与预测-以中国上市公司为例

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摘要

The paper is to evaluate and forecast the risk of Chinese listed companies through Dynamic Bayesian Network Classification Model and risk forecasting index system. The result shows that the agriculture, the forest, the herd, the fishery, the architecture industry and social service industry are in "the high risk" in 2008; the excavation industry, the real estate industry and the dissemination and the cultural industry are in "the high risk"; the technology industry, the transportation, the warehousing industry and the synthesis are in "has the risk"; the wholesale and retail trade, electric power, coal gas and water production and supply and manufacturing industry are in "the risk attention". listed companies are all have certain level financial and operating risk in 2009. Among them, 11.62% have high financial risk and 21.76% have high operating risk. Similarly, listed companies in 2010 also have certain level financial and operating risk: 12.37% of them have higher financial risk and 18.44% have higher operating risk.
机译:本文通过动态贝叶斯网络分类模型和风险预测指标体系对中国上市公司的风险进行评估和预测。结果表明,2008年农业,森林,牧业,渔业,建筑业和社会服务业处于“高风险”;挖掘业,房地产业和传播文化产业处于“高风险”之中;科技业,运输业,仓储业和综合性处于“有风险”之中;批发和零售贸易,电力,煤气和水的生产以及供应和制造业处于“风险关注”状态。上市公司2009年均具有一定程度的财务和经营风险。其中,财务风险高的占11.62%,经营风险高的占21.76%。同样,2010年的上市公司也具有一定程度的财务和经营风险:其中12.37%的财务风险较高,而18.44%的财务风险较高。

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