一、大名鼎鼎的Ferguson团队的报告。Ferguson团队2020年3月16日的报告影响很大。报告认为,COVID-19的全球流行和影响,是自1918年H1N1流感以来最为深重的疾病大流行。在假设尚未出现COVID-19疫苗的情形下,报告利用流行病学模型(S I R模...一、大名鼎鼎的Ferguson团队的报告。Ferguson团队2020年3月16日的报告影响很大。报告认为,COVID-19的全球流行和影响,是自1918年H1N1流感以来最为深重的疾病大流行。在假设尚未出现COVID-19疫苗的情形下,报告利用流行病学模型(S I R模型或其更精细的变种模型)对英国和美国的流行进行了仿真模拟。其结论是各种单独的隔离等干预手段效果有限。展开更多
The internal rating-based approach is the core content of New Basel Accord.The calculation of probability of default,loss given default,expected losses and other concerning factors are the key steps to bring internal ...The internal rating-based approach is the core content of New Basel Accord.The calculation of probability of default,loss given default,expected losses and other concerning factors are the key steps to bring internal rating-based approach into effect.Based on the practical data of our state-owned commercial banks,a relative scientific evaluating system is established in this paper by stepwise discriminant analysis,and a probability of default forecasting model is constructed by Bayes discriminant model.Also expected losses are calculated by neural network based on Levenberg-Marquardt algorithm.Therefore,loss given default could be work out by the function among probability of default,loss given default and expected losses.Empirical results show that this model could be of certain validity and feasibility to forecast probability of default and loss given default.展开更多
文摘一、大名鼎鼎的Ferguson团队的报告。Ferguson团队2020年3月16日的报告影响很大。报告认为,COVID-19的全球流行和影响,是自1918年H1N1流感以来最为深重的疾病大流行。在假设尚未出现COVID-19疫苗的情形下,报告利用流行病学模型(S I R模型或其更精细的变种模型)对英国和美国的流行进行了仿真模拟。其结论是各种单独的隔离等干预手段效果有限。
文摘The internal rating-based approach is the core content of New Basel Accord.The calculation of probability of default,loss given default,expected losses and other concerning factors are the key steps to bring internal rating-based approach into effect.Based on the practical data of our state-owned commercial banks,a relative scientific evaluating system is established in this paper by stepwise discriminant analysis,and a probability of default forecasting model is constructed by Bayes discriminant model.Also expected losses are calculated by neural network based on Levenberg-Marquardt algorithm.Therefore,loss given default could be work out by the function among probability of default,loss given default and expected losses.Empirical results show that this model could be of certain validity and feasibility to forecast probability of default and loss given default.