 A global economic policy uncertainty index from principal component analysisPeng-Fei Dai, Xiong Xiong and Wei-Xing Zhou Finance Research Letters, 2021, vol. 40, issue C 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 the 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 stock markets are more volatile and correlated when the global economic policy uncertainty is higher. The PCA-based global economic policy uncertainty index (T=24) performs slightly better because the relationships between the PCA-based uncertainty and market volatility and between the PCA-based uncertainty and market correlation are more significant. Keywords: Econophysics; Economic policy uncertainty; Principal component analysis; Volatility; Correlation (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:40:y:2021:i:c:s1544612319310542 DOI: 10.1016/j.frl.2020.101686 Access Statistics for this article Finance Research Letters is currently edited by R. Gençay More articles in Finance Research Letters from Elsevier |
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