In this paper, we investigate the effect of the U.S.--China trade war on stock markets from a financial contagion perspective, based on high-frequency financial data. Specifically, to account for risk contagion between the U.S. and China stock markets, we develop a novel jump-diffusion process. For example, we consider three channels for volatility contagion--such as integrated volatility, positive jump variation, and negative jump variation--and each stock market is able to affect the other stock market as an overnight risk factor. We develop a quasi-maximum likelihood estimator for model parameters and establish its asymptotic properties. Furthermore, to identify contagion channels and test the existence of a structural break, we propose hypothesis test procedures. From the empirical study, we find evidence of financial contagion from the U.S. to China and evidence that the risk contagion channel has changed from integrated volatility to negative jump variation.
翻译:在本文中,我们从金融传染的角度,根据高频金融数据,从金融传染的角度来调查中美贸易战争对股市的影响。 具体地说,为了说明美国和中国股票市场之间的风险传染,我们开发了一个新型的跳跃扩散过程。 比如,我们考虑三条波动传染渠道 — — 比如综合波动、积极跳跃变化和负跳动变化 — — 以及每个股票市场能够作为一夜之间风险因素影响其他股票市场。 我们开发了一个模型参数的准最大可能性估计器,并建立了其无药用特性。 此外,为了确定传染渠道并测试结构断裂的存在,我们提出了假设测试程序。我们从经验研究中发现了从美国到中国的金融传染证据,并证明风险传染渠道已经从综合波动转变为负跳动变化。