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A global economic policy uncertainty index from principal component analysis

General Economics 2022-08-23 v2 Economics

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.

Keywords

Cite

@article{arxiv.1907.05049,
  title  = {A global economic policy uncertainty index from principal component analysis},
  author = {Peng-Fei Dai and Xiong Xiong and Wei-Xing Zhou},
  journal= {arXiv preprint arXiv:1907.05049},
  year   = {2022}
}

Comments

5 pages, 6 figures

R2 v1 2026-06-23T10:18:10.593Z