TY - JOUR
T1 - Green finance under stress
T2 - Unraveling the spillover effects of tail risk
AU - Naeem, Muhammad Abubakr
AU - Ashraf, Sania
AU - Karim, Sitara
AU - Moussa, Faten
N1 - Publisher Copyright:
© 2024 Elsevier Inc.
PY - 2024/6
Y1 - 2024/6
N2 - The study was undertaken in direct response to escalating concerns regarding the environmental implications of green assets, with the primary objective of determining the potential of green financial markets to serve as a mitigating force against the risks associated with green stocks, bonds, cryptocurrencies, and carbon markets. To evaluate the risk, the study employed tail risk at the 5% value-at-risk level using the conditional autoregressive value-at-risk (CAViaR) and time-varying parameters vector auto regressions (TVP-VAR) techniques. From the analysis it was found that there was a strong intra-class connectedness between the assets but limited interconnectedness between the markets. Furthermore, we conducted an analysis of dynamic NET spillovers to discern the markets responsible for transmitting and receiving risk spillovers across diverse markets, with the aim of comprehending their behavior both before and after the onset of the COVID-19 pandemic. It was also found that extreme risk spillovers were observed during the study period. These findings have important implications for policymakers, regulators, investors, and other financial market participants. Green assets are designed to combat climate risk by promoting sustainable energy practices and reducing carbon emissions and to maintain the stability of the financial markets under both extreme and typical market conditions.
AB - The study was undertaken in direct response to escalating concerns regarding the environmental implications of green assets, with the primary objective of determining the potential of green financial markets to serve as a mitigating force against the risks associated with green stocks, bonds, cryptocurrencies, and carbon markets. To evaluate the risk, the study employed tail risk at the 5% value-at-risk level using the conditional autoregressive value-at-risk (CAViaR) and time-varying parameters vector auto regressions (TVP-VAR) techniques. From the analysis it was found that there was a strong intra-class connectedness between the assets but limited interconnectedness between the markets. Furthermore, we conducted an analysis of dynamic NET spillovers to discern the markets responsible for transmitting and receiving risk spillovers across diverse markets, with the aim of comprehending their behavior both before and after the onset of the COVID-19 pandemic. It was also found that extreme risk spillovers were observed during the study period. These findings have important implications for policymakers, regulators, investors, and other financial market participants. Green assets are designed to combat climate risk by promoting sustainable energy practices and reducing carbon emissions and to maintain the stability of the financial markets under both extreme and typical market conditions.
KW - Carbon markets
KW - CAViaR
KW - Green bonds
KW - Green cryptocurrencies
KW - TVP-VAR
UR - http://www.scopus.com/inward/record.url?scp=85188671464&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85188671464&partnerID=8YFLogxK
U2 - 10.1016/j.iref.2024.03.026
DO - 10.1016/j.iref.2024.03.026
M3 - Article
AN - SCOPUS:85188671464
SN - 1059-0560
VL - 93
SP - 225
EP - 236
JO - International Review of Economics and Finance
JF - International Review of Economics and Finance
ER -