TY - JOUR
T1 - A global network topology of stock markets
T2 - Transmitters and receivers of spillover effects
AU - Shahzad, Syed Jawad Hussain
AU - Hernandez, Jose Areola
AU - Rehman, Mobeen Ur
AU - Al-Yahyaee, Khamis Hamed
AU - Zakaria, Muhammad
PY - 2018/2/15
Y1 - 2018/2/15
N2 - This paper applies a bivariate cross-quantilogram approach to examine the spillover network structure in the stock markets of 58 countries according to bearish, normal and bullish market scenarios. Our aim is to identify the strongest interdependencies, the directionality of the spillover risk effects, and to detect those equity markets with the potential to cause global systemic risk. The results highlight the role of the US and Canadian equity markets as major spillover transmitters, while the stock markets of Romania, Taiwan and Mexico act mainly as spillover receivers. Particularly strong spillovers are observed from the Canadian and US equity markets towards the Irish market, and from the Brazilian equity market towards the Kenyan equivalent. The equity market networks suggest that only the US equity market can trigger systemic risk on a global scale. Implications of the results are discussed.
AB - This paper applies a bivariate cross-quantilogram approach to examine the spillover network structure in the stock markets of 58 countries according to bearish, normal and bullish market scenarios. Our aim is to identify the strongest interdependencies, the directionality of the spillover risk effects, and to detect those equity markets with the potential to cause global systemic risk. The results highlight the role of the US and Canadian equity markets as major spillover transmitters, while the stock markets of Romania, Taiwan and Mexico act mainly as spillover receivers. Particularly strong spillovers are observed from the Canadian and US equity markets towards the Irish market, and from the Brazilian equity market towards the Kenyan equivalent. The equity market networks suggest that only the US equity market can trigger systemic risk on a global scale. Implications of the results are discussed.
KW - Cross-quantilogram model
KW - Economic spillovers
KW - Global equity markets
KW - Global network structure
KW - Return connectedness
UR - http://www.scopus.com/inward/record.url?scp=85036629494&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85036629494&partnerID=8YFLogxK
U2 - 10.1016/j.physa.2017.11.132
DO - 10.1016/j.physa.2017.11.132
M3 - Article
AN - SCOPUS:85036629494
SN - 0378-4371
VL - 492
SP - 2136
EP - 2153
JO - Physica A: Statistical Mechanics and its Applications
JF - Physica A: Statistical Mechanics and its Applications
ER -