Geopolitical risk and China's international capital flows——dynamic identifications and time-varying effects

This paper examines China's international capital flows using monthly time series data from January 1997 to May 2023, derived through an indirect calculation method. A Markov Regime Switching Model is employed to categorize capital flows into distinct states and identify abnormal episodes across different periods. The analysis reveals three key phases: the "Period of Stead Development after the Reform and Opening-Up," the "Period from the Global Financial Crisis to the Quantitative Easing Exit," and the "Period of China's New Normal Development." The model accurately identifies significant abnormal episodes, including the global financial crisis and the COVID-19 pandemic. Additionally, a Time-Varying Parameter Vector Autoregression (TVP-VAR) model is used to investigate the dynamic impacts of geopolitical risk (GPR) on capital flows. The findings indicate that GPR exerts varied effects under different economic conditions, with its influence being predominantly short-term after the global financial crisis but more pronounced and far-reaching in the post-COVID era. The direction of GPR's impact depends on the stage of economic development. Moreover, the effects of the interest rate spread (IRS) and the real effective exchange rate (REER) exhibit structural changes, with REER emerging as a consistently stronger and more significant factor in the post-COVID period.

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Publication Details

Journal
International Review of Economics & Finance
Published
2026-02-24
DOI
https://doi.org/10.1016/j.iref.2026.105046
Primary Topic
Global Financial Crisis and Policies
Type
article
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article

Geopolitical risk and China's international capital flows——dynamic identifications and time-varying effects

Chuanqi Zhu, Puhao Chen
International Review of Economics & Finance
Global Financial Crisis and Policies
article

Geopolitical risk and China's international capital flows——dynamic identifications and time-varying effects

Chuanqi Zhu, Puhao Chen
article en

Abstract

This paper examines China's international capital flows using monthly time series data from January 1997 to May 2023, derived through an indirect calculation method. A Markov Regime Switching Model is employed to categorize capital flows into distinct states and identify abnormal episodes across different periods. The analysis reveals three key phases: the "Period of Stead Development after the Reform and Opening-Up," the "Period from the Global Financial Crisis to the Quantitative Easing Exit," and the "Period of China's New Normal Development." The model accurately identifies significant abnormal episodes, including the global financial crisis and the COVID-19 pandemic. Additionally, a Time-Varying Parameter Vector Autoregression (TVP-VAR) model is used to investigate the dynamic impacts of geopolitical risk (GPR) on capital flows. The findings indicate that GPR exerts varied effects under different economic conditions, with its influence being predominantly short-term after the global financial crisis but more pronounced and far-reaching in the post-COVID era. The direction of GPR's impact depends on the stage of economic development. Moreover, the effects of the interest rate spread (IRS) and the real effective exchange rate (REER) exhibit structural changes, with REER emerging as a consistently stronger and more significant factor in the post-COVID period.

International Review of Economics & FinanceVol. 107
Lingnan University (HK)
Openalex Percentile: Top 48%
Global Financial Crisis and Policies
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