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商业银行五级分类贷款的马尔可夫预测方法
THE METHOD OF MARKOV CHAIN MODEL IN PREDICTING FIVE-LEVEL QUALITY LOAN CLASSIFICATION
【摘要】 贷款五级分类是当前商业银行改革的重大举措,文章利用马尔可夫链的方法,首先根据商业银行贷款五级分类标准进行状态划分;然后,利用马尔可夫链状态转移矩阵对商业银行逾期贷款进行分析与预测.使用马尔可夫链的方法可以对商业银行逾期贷款进行动态监控,对银行进行有效的逾期贷款管理具有一定的参考价值.
【Abstract】 The five-level quality loan classification is a significant measure of Chinese bank reform. By using Markov chain model, this paper marks off the states according to the five-level quality loan classification. Then, this paper uses Markov transition matrix to analyze and forecast the overdue loan. Markov chain model can supervise the bank’s overdue loans dynamicly, and help to manage the overdue loans effectively.
【关键词】 预测;
五级分类贷款;
马尔可夫链;
吸收态;
【Key words】 predict; five-level quality loan classification; Markov chain; absorb state;
【Key words】 predict; five-level quality loan classification; Markov chain; absorb state;
- 【文献出处】 佳木斯大学学报(自然科学版) ,Journal of Jiamusi University(Natural Science Edition) , 编辑部邮箱 ,2005年01期
- 【分类号】F224
- 【被引频次】16
- 【下载频次】359