A global economic policy uncertainty index from principal component analysis

Peng-Fei Dai, Xiong Xiong and Wei-Xing Zhou
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Peng-Fei Dai: TJU
Xiong Xiong: TJU

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Abstract: This paper constructs a global economic policy uncertainty index through the principal component analysis of the economic policy uncertainty indices for twenty primary economies around the world. We find that the PCA-based global economic policy uncertainty index is a good proxy for the economic policy uncertainty on a global scale, which is quite consistent with the GDP-weighted global economic policy uncertainty index. The PCA-based economic policy uncertainty index is found to be positively related with the volatility and correlation of the global financial market, which indicates that the stocks are more volatile and correlated when the global economic policy uncertainty is higher. The PCA-based global economic policy uncertainty index performs slightly better because the relationship between the PCA-based uncertainty and market volatility and correlation is more significant.

Date: 2019-07, Revised 2019-07
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Published in Finance Research Letters 40, 101686 (2021)

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Journal Article: A global economic policy uncertainty index from principal component analysis (2021)
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