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• W3110342616 abstract "This paper attempts to develop a financial vulnerability indicator for China as a barometer for the state of financial vulnerability in the Chinese financial market, possibly for real-time application. Twelve variables from different sectors are utilised to extract a common vulnerability component using a dynamic approximate factor model. Through the implementation of a Markovswitching Bayesian vector autoregression (MSBVAR) model, the empirical results indicate that a high-vulnerability episode is associated with substantially lower economic activity, but a low-vulnerability episode does not incur substantial changes in economic activity. Notably, the constructed indicator can serve as a real-time early warning system to signify vulnerabilities in the Chinese financial market." @default.
• W3110342616 created "2020-12-07" @default.
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• W3110342616 date "2020-11-20" @default.
• W3110342616 modified "2023-09-29" @default.
• W3110342616 title "MACROECONOMIC PERSPECTIVE ON CONSTRUCTING FINANCIAL VULNERABILITY INDICATOR IN CHINA" @default.
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• W3110342616 doi "https://doi.org/10.3846/jbem.2020.13220" @default.
• W3110342616 hasPublicationYear "2020" @default.
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