PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 2, 2026Economics0 citationsOpen Access

The Dynamic Association of Economic Policy Uncertainty, Short-Term Cross-Border Capital Flows and Systemic Financial Risk

View Full Paper
LWLu WangYWYuting WangZZZiying Zhao

Key Points

  • The study aims to clarify the relationships between economic policy uncertainty, short-term cross-border capital flows, and systemic financial risk in China's context.
  • Analyzed monthly data from China's financial institutions from 2000 to 2023.
  • Measured systemic financial risk using the DCC-GARCH-ΔCoVaR model.
  • Employed a time-varying parameter stochastic volatility vector autoregression model to assess relationships among variables.
  • Systemic financial risk in China has generally declined, indicating improved financial resilience.
  • Economic policy uncertainty consistently promotes short-term cross-border capital flows.
  • The impact of economic policy uncertainty on systemic financial risk varies significantly over different lag periods.
  • Short-term capital flows intensified medium- and long-term effects on systemic financial risk, exhibiting notable differences across time.
  • Short-term capital flows mitigated systemic financial risk during stock market crashes but amplified it during the pandemic.

Abstract

Abstract The global economic landscape has become increasingly volatile, as rising economic policy uncertainty (EPU) and frequent abnormal fluctuations in short-term cross-border capital flows (SCF) can easily trigger systemic financial risks (SFR). Clarifying the dynamic relationships among these three factors is therefore crucial for maintaining China’s financial stability and improving the effectiveness of policy implementation. Using monthly data on China’s financial institutions from 2000 to 2023, this study measures SFR using the DCC-GARCH-ΔCoVaR model and employs a time-varying parameter stochastic volatility vector autoregression (TVP-SV-VAR) model to analyze the dynamic linkages among EPU, SCF, and SFR. The results show that China’s SFR has generally declined, reflecting improved financial resilience; EPU consistently promotes SCF, while its impact on SFR varies significantly across different lag periods. Moreover, the medium- and long-term effects of SCF on SFR have intensified, with notable heterogeneity in shock intensity across different periods. Further analysis reveals that SCF helped mitigate SFR during the stock market crash period but significantly amplified it during the pandemic period. This study uncovers the time-varying characteristics of the EPU–SCF–SFR nexus and offers practical insights for emerging economies in seeking to balance capital flows and financial stability amid heightened policy uncertainty.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/6980fe48c1c9540dea810442https://doi.org/10.1515/econ-2025-0181
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Time Varying Structural Vector Autoregressions and Monetary Policy2005 · 2,981 citations
  2. 2Exchange rate expectations and economic policy uncertainty2016 · 222 citations
  3. 3Systemic risk measurement: Multivariate GARCH estimation of CoVaR2013 · 630 citations
  4. 4Short-term cross-border capital flows and corporate financialization2024 · 5 citations
  5. 5Financial Openness, Currency Crises, and Output Losses2008 · 20 citations