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Research on green credit risk measurement based on Pair Copula grouping model--From the perspective of Commercial Banks

机译:Pair Copula分组模型的绿色信贷风险计量研究-以商业银行为视角

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摘要

In order to measure the portfolio credit risk of commercial banks in energy saving and environmental protection industry accurately, this paper proposes the value VaR_(GP)of green credit risk and constructs a related model based on Pair Copula grouping model, VaR method (combined with enumeration algorithm).The results show that the credit schemes that commercial banks focus on investing in two areas of industrial emission reduction and environmental restoration is consistent with the conclusion that the two fields have the strongest development momentum.Besides, at different levels of confidence, all of VaR_(GP)have passed the return test, which fully shows that the model is feasible and effective to measure the credit risk in different green fields and to formulate the optimal combination strategy.
机译:为了准确衡量节能环保行业商业银行的证券组合信用风险,提出了绿色信用风险的价值VaR_(GP),并建立了基于Pair Copula分组模型,VaR方法(结合结果表明,商业银行专注于工业减排和环境恢复两个领域的投资的信贷方案与两个领域发展势头最强的结论是一致的。此外,在不同的置信度下,所有的VaR_(GP)均通过了收益测试,充分表明该模型可用于测量不同绿色领域的信用风险并制定最优组合策略。

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