How does economic policy uncertainty comove with stock markets: New evidence from symmetric thermal optimal path method
Ying-Hui Shao,
Yan-Hong Yang and
Wei-Xing Zhou
Physica A: Statistical Mechanics and its Applications, 2022, vol. 604, issue C
Abstract:
We revisit the dynamic relationship between domestic economic policy uncertainty and stock markets using the symmetric thermal optimal path (TOPS) method. We observe different interaction patterns in emerging and developed markets. Economic policy uncertainty drives the stock market in China, while stock markets play a leading role in the UK and the US. Meanwhile, the lead–lag relationships of the three countries react significantly to extreme events. Our findings have important implications for investors and policy makers.
Keywords: Economic policy uncertainty; Stock market; Lead–lag relationship; Symmetric thermal optimal path (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437122004952
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
Working Paper: How does economic policy uncertainty comove with stock markets: New evidence from symmetric thermal optimal path method (2022) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:604:y:2022:i:c:s0378437122004952
DOI: 10.1016/j.physa.2022.127745
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().