溢出效应
期货合约
经济
波动性(金融)
ARCH模型
向量自回归
贝叶斯向量自回归
结构断裂
计量经济学
中国
金融经济学
贝叶斯概率
宏观经济学
政治学
人工智能
计算机科学
法学
作者
Yubin Wang,Xiaoyang Wang,Jianhe Liu,Xu Mingyuan,Yuanfang Zang
标识
DOI:10.1080/1540496x.2023.2186172
摘要
This paper examines the volatility spillover between the soybean futures contracts traded in the US Chicago Board of Trade (CBOT) and China Dalian Commodity Exchange (DCE) through a normalized Copula – GARCH(1,1) - t model with structural changes. The structural change points are identified through a combination of Bayesian diagnosis with Z-test. The study finds that the volatility spillover exists between the DCE and CBOT soybean futures and weakens through time. We further identify seven structural change points in the volatility spillover relationship, suggesting it is going through significant structural changes. The changes are related to major social-political events including the trade conflict between China and the US, the COVID-19 pandemic and the Russia-Ukraine war.
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