Professor Omneya Abdelsalam o.h.abdelsalam@durham.ac.uk
Professor
Professor Omneya Abdelsalam o.h.abdelsalam@durham.ac.uk
Professor
Daniel Felix Ahelegbey
YASSINE ESSANAANI yassine.essanaani@durham.ac.uk
PGR Student Doctor of Philosophy
This study examines the interconnectedness between conventional and ethical indexes. Using a Bayesian graphical vector autoregressive model, we derive the contemporaneous and temporal interdependencies among these stock index returns before and during the Covid-19 pandemic. Our model specification strategy combines vector autoregressive models with networks. The findings provide empirical evidence of increased interconnectedness during the Covid-19 period across all networks. Notably, the religious and FTSE Islamic networks exhibited greater resilience during the pandemic. This could be attributed to the rigorous screening processes for religious portfolios, which focus on lower-leveraged equity stocks, contributing to their stability. Additionally, our results show that the Covid-19 crisis affected network density and the roles of key player shock transmitter entities, as indicated by changes in hub and authority scores, with new key players emerging during the crisis.
Abdelsalam, O., Ahelegbey, D. F., & Yassine, E. (2024). The nexus of conventional, religious and ethical indexes during crisis. Journal of International Financial Markets, Institutions and Money, 95, Article 102027. https://doi.org/10.1016/j.intfin.2024.102027
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 2, 2024 |
Online Publication Date | Jul 23, 2024 |
Publication Date | Jul 23, 2024 |
Deposit Date | Jul 3, 2024 |
Publicly Available Date | Jul 24, 2024 |
Journal | Journal of International Financial Markets, Institutions and Money |
Print ISSN | 1042-4431 |
Electronic ISSN | 1873-0612 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 95 |
Article Number | 102027 |
DOI | https://doi.org/10.1016/j.intfin.2024.102027 |
Keywords | Covid-19; Conventional; Ethical; Islamic; Stock Index; Networks; VAR |
Public URL | https://durham-repository.worktribe.com/output/2515130 |
Published Journal Article (Advance Online Version)
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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Journal Pre-proof
Published Journal Article
(1.3 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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