峰度
分位数
经济
溢出效应
计量经济学
波动性(金融)
偏斜
预测误差的方差分解
向量自回归
风险价值
自回归模型
金融经济学
财务
统计
宏观经济学
风险管理
数学
作者
Zhifeng Dai,Haoyang Zhu
标识
DOI:10.1016/j.iref.2022.09.005
摘要
Using daily return, realized volatility, realized skewness and realized kurtosis as risk proxies, we analyze the risk spillovers among crude oil, gold, economic policy uncertainty (EPU) and four Chinese financial sectors including bank, trust, insurance and security under different market conditions. Our analysis spans from January 10, 2008 to June 30, 2020 and is based on the combination of quantile VAR model and time-varying parameter vector autoregressive (TVP-VAR) model based on generalized forecast error variance decomposition. We find that: (1) The risk spillovers of the four risk proxies under 0.01-quantile and 0.99-quantile are much larger than those under mean and median (0.5-quantile); (2) The four risk proxies capture different information of the systemic shocks; (3) Term spread and credit spread have significant forecasting power on the total return spillovers and the total volatility spillovers.
科研通智能强力驱动
Strongly Powered by AbleSci AI