摘要
建立了基于Bootstrap仿真的广义Pareto经营现金流风险(CFaR)模型,在广义Pareto分布的框架下运用基于Bootstrap仿真得到现金流风险价值,以克服广义Pareto分布的小样本造成的估计误差,提高分析的可信度,并改进了广义Pareto模型的不足.将该模型用于中国房地产上市公司现金流风险价值估计,得到了满意的结果.
Discusses the nonparametric Bootstrap simulation and the generalized Pareto distribution (GPD), and combined the two methods to model the cash flow at risk (CFaR). The GPD method based on bootstrap simulation overcomes the defects of GPD, improves the precision, and is applied to estimate the operating CFaR of the real estate listed companies of China. The results prove that the model is effective for CFaR evaluation.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2010年第3期374-378,共5页
Transactions of Beijing Institute of Technology
基金
国家教育部高等学校博士学科点专项科研基金资助课题(20050006025)
国家自然科学基金资助项目(70521001)