Abstract
This study empirically examines the spatial correlation of implicit debt tail risks among local governments across provinces in China and its impact on systemic risks within the banking sector. By applying the TENET (Härdle et al., 2016) and the impulse response separation method, our analysis reveals a complex interconnection among these implicit debt tail risks. Moreover, we observe that a higher degree of spatial correlation amplifies the effect on bank systemic risk, resulting in a pronounced spillover effect in the banking system. Finally, our findings indicate that increased spatial correlation is correlated with a decrease in the capital adequacy ratio, a heightened trading volume of urban construction investment bonds, and an increased nonperforming loan ratio.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.