TITLE:
FinTech Development, Shadow Banking, and Stock Market Activity in China: Insights from a TVP-SV-VAR Modeling
AUTHORS:
Tianjing Zhang, Xinrui Sun
KEYWORDS:
FinTech Development, Shadow Banking, Time-Varying Impulse Response, TVP-SV-VAR
JOURNAL NAME:
Theoretical Economics Letters,
Vol.14 No.4,
August
1,
2024
ABSTRACT: We adopt a time-varying parameter vector autoregressive model with stochastic volatility (TVP-SV-VAR) to unveil the dynamic nexus between FinTech development, shadow banking, and stock market activity in China. Our analysis highlights the consistent suppressive effect of FinTech on the growth of shadow banking and the diminishing positive effect on stock market activity. The effects show noticeable time-varying characteristics. Besides, the impacts of relevant policy measures regarding FinTech tend to decay over time. We also observe a divergence in the impacts of shadow banking on different types of stocks. This study encapsulates the intricate connections and evolving influences among FinTech, shadow banking, and the stock market.