4.7 Article

A global economic policy uncertainty index from principal component analysis

期刊

FINANCE RESEARCH LETTERS
卷 40, 期 -, 页码 -

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.frl.2020.101686

关键词

Econophysics; Economic policy uncertainty; Principal component analysis; Volatility; Correlation

资金

  1. National Natural Science Foundation of China [71532009, U1811462, 71790594]
  2. Fundamental Research Funds for the Central Universities
  3. Tianjin Development Program for Innovation and Entrepreneurship
  4. Program of Shanghai Academic Research Leader

向作者/读者索取更多资源

This study constructs a global economic policy uncertainty index through principal component analysis, finding it to be a good proxy for global economic policy uncertainty and positively correlated with market volatility and correlation. The PCA-based index performs slightly better than GDP-weighted index in representing the relationships between uncertainty and market dynamics.
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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据