Recursive adjusted unit root tests under non-stationary volatility
Shaoping Wang,
Yanglin Li and
Kuangyu Wen
Economics Letters, 2021, vol. 205, issue C
Abstract:
This study concerns the effect of non-stationary volatility on unit root tests with a structural break in which the deterministic component is recursively adjusted. We derive the asymptotic distributions of our proposed test statistics. Simulations show the new test has good finite sample performances under non-stationary volatility. Applying to the China and US stock markets during the 2018 Sino-US trade conflict, we find that both stock indexes are unit root processes with a structural break in intercept and trend. This corresponds to the day when the US and China agree on a 90-day halt to new tariffs.
Keywords: Sino-US trade conflict; Recursive adjustment; Non-stationary volatility; Unit root tests; Structural break (search for similar items in EconPapers)
JEL-codes: C12 C22 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176521002184
Full text for ScienceDirect subscribers only
Related works:
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:ecolet:v:205:y:2021:i:c:s0165176521002184
DOI: 10.1016/j.econlet.2021.109941
Access Statistics for this article
Economics Letters is currently edited by Economics Letters Editorial Office
More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().