TY - JOUR
T1 - Measuring sovereign risk spillovers and assessing the role of transmission channels
T2 - A spatial econometrics approach
AU - Debarsy, Nicolas
AU - Dossougoin, Cyrille
AU - Ertur, Cem
AU - Gnabo, Jean Yves
N1 - Funding Information:
Nicolas Debarsy and Cem Ertur acknowledge financial support of the Region Centre Val de Loire (APR-IA 2014 00094514). Jean-Yves Gnabo acknowledges financial support of the ARC grant (Projet d'Actions de Recherche Concertées) #13/17-055granted by the Académie universitaire Louvain. Cyrille Dossougoin acknowledges the financial support of the FRS - FNRS. We would also like to thank the editor and two anonymous referees, Sophie Béreau, Christian Brownlees, Gilles De Truchis, Etienne Farvaque, Sofia Franco, Pauline Gandré Zhengyuan Gao, Eric Kolaczyk, James LeSage, Jérémy Leymarie, Gori Maia, Jihai Yu and participants at the 26th (EC)2 conference, 15th International Workshop in Spatial Econometrics and Statistics, 11th Spatial Econometrics Association meeting, 15th workshop in Econometrics (Paris Ouest-Nanterre la Défense), Doctoral workshop of University of Namur and University of Orléans and the Lille Research Workshop on Statistics and Econometrics. All remaining errors are ours.
Funding Information:
Nicolas Debarsy and Cem Ertur acknowledge financial support of the Region Centre Val de Loire (APR-IA 2014 00094514). Jean-Yves Gnabo acknowledges financial support of the ARC grant (Projet d’Actions de Recherche Concertées) # 13/17-055 granted by the Académie universitaire Louvain . Cyrille Dossougoin acknowledges the financial support of the FRS - FNRS . We would also like to thank the editor and two anonymous referees, Sophie Béreau, Christian Brownlees, Gilles De Truchis, Etienne Farvaque, Sofia Franco, Pauline Gandré, Zhengyuan Gao, Eric Kolaczyk, James LeSage, Jérémy Leymarie, Gori Maia, Jihai Yu and participants at the 26th (EC) 2 conference, 15th International Workshop in Spatial Econometrics and Statistics, 11th Spatial Econometrics Association meeting, 15th workshop in Econometrics (Paris Ouest-Nanterre la Défense), Doctoral workshop of University of Namur and University of Orléans and the Lille Research Workshop on Statistics and Econometrics. All remaining errors are ours.
Publisher Copyright:
© 2017 Elsevier B.V.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - We contribute to the literature on international risk spillovers by developing a unified framework based on spatial econometrics that enables us to address the following questions: (i) what are the effective transmission channels – real linkages and informational channels – of international risk spillovers across countries and/or regions, (ii) what are the most dominant ones, and (iii) which countries are most at risk for their environment and which are suffering the most from international exposure. Our analysis, based on 41 advanced and emerging economies from 2008Q1 to 2012Q4, shows that among the considered channels for explaining international spillovers of sovereign bond spreads, the informational channel is of utmost importance. Our results challenge previous findings from the literature in which the empirical strategy did not accommodate altogether important features of country spillovers, such as the co-existence of multiple transmission channels in the presence of contemporaneous and time-lagged interactions. Ultimately, our stress-testing analysis reveals important insights on countries prone either to international spillovers, international exposure or both at the regional and the worldwide level.
AB - We contribute to the literature on international risk spillovers by developing a unified framework based on spatial econometrics that enables us to address the following questions: (i) what are the effective transmission channels – real linkages and informational channels – of international risk spillovers across countries and/or regions, (ii) what are the most dominant ones, and (iii) which countries are most at risk for their environment and which are suffering the most from international exposure. Our analysis, based on 41 advanced and emerging economies from 2008Q1 to 2012Q4, shows that among the considered channels for explaining international spillovers of sovereign bond spreads, the informational channel is of utmost importance. Our results challenge previous findings from the literature in which the empirical strategy did not accommodate altogether important features of country spillovers, such as the co-existence of multiple transmission channels in the presence of contemporaneous and time-lagged interactions. Ultimately, our stress-testing analysis reveals important insights on countries prone either to international spillovers, international exposure or both at the regional and the worldwide level.
KW - Sovereign risk
KW - Spatial dynamic panel data
KW - Spillover analysis
KW - Transmission channels
UR - http://www.scopus.com/inward/record.url?scp=85038359097&partnerID=8YFLogxK
U2 - 10.1016/j.jedc.2017.11.005
DO - 10.1016/j.jedc.2017.11.005
M3 - Article
AN - SCOPUS:85038359097
SN - 0165-1889
VL - 87
SP - 21
EP - 45
JO - Journal of Economic Dynamics and Control
JF - Journal of Economic Dynamics and Control
ER -