Hu, G., Liu, S., Wu, G., Hu, P., Li, R., & Chen, L. (2023). Economic Policy Uncertainty, Geopolitical Risks, and the Heterogeneity of Commodity Price Fluctuations in China—An Empirical Study Based on TVP-SV-VAR Model. Resources Policy, 85, Article ID: 104009.
https://doi.org/10.1016/j.resourpol.2023.104009

has been cited by the following article:

• 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.