Assessing systemic risk spillovers from FinTech to China’s financial system
使用GARCH copula分位数回归模型，估计金融科技对中国金融各子行业的风险溢出效应，发现证券业和国有商业银行在低风险水平下风险溢出最大和最小，而股份制商业银行和证券业在高风险水平下风险溢出最大和最小，且动态风险溢出受2015-2016年股市崩盘影响。
Today, the potential of FinTech in China is immense. After a prolonged period of dormancy, a blazing trail in finance surges. This study estimates the extent to which risk is transmitted from FinTech to various sub-industries within the Chinese financial sector, employing the GARCH copula quantile regression model. Our empirical findings indicate that FinTech exerts significant risk spillover effects on these financial sub-industries. Notably, at lower risk levels of 0.1 and 0.05, the securities and state-owned commercial banks sub-industries demonstrate the most substantial and least significant risk spillovers, respectively. Conversely, at the highest risk level of 0.01, the joint-stock commercial banks and securities exhibit the largest and smallest risk spillovers, respectively. Additionally, our analysis reveals that the dynamic risk spillovers for each financial sub-industry differ and reflect the influences of the stock market crash that occurred during 2015–2016. The implications of our study extend to portfolio managers and financial authorities, highlighting the importance of enhancing supervision and regulation of FinTech companies to uphold financial stability.