Tail risk spillovers in the stock and forex markets at the major emergencies: Evidence from the G20 countries
Kelong Li,
Chi Xie,
Yingbo Ouyang,
Tingcheng Mo and
Yusen Feng
International Review of Financial Analysis, 2024, vol. 96, issue PB
Abstract:
We explore the tail risk spillover in the stock and foreign exchange (forex) markets along the G20 countries based on the tail-event driven network (TENET) method. To effectively capture the risk spillover mechanism from the tail-dependence perspective, we analyze the network connectedness in four aspects (namely system, market, region, and country) and explore it at the major emergencies. We find that (i) the system-level risk spillover peaks at the US subprime crisis, and subsequently undergoes several cyclical volatility in relatively high level in the period of major emergencies; (ii) the cross-market risk spillover from the stock markets to the forex markets plays a dominant role, while that from the forex markets to the stock markets is small; and (iii) the stock and forex markets in Europe and America transmit the large tail risk spillovers to other regions, and the forex markets in these regions are sensitive to the major emergencies.
Keywords: Tail risk spillovers; Connectedness; G20 countries; Stock and forex markets; Tail-event driven network (TENET) (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1057521924006446
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:finana:v:96:y:2024:i:pb:s1057521924006446
DOI: 10.1016/j.irfa.2024.103712
Access Statistics for this article
International Review of Financial Analysis is currently edited by B.M. Lucey
More articles in International Review of Financial Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().