Abdelsalam, Omneya and Ahelegbey, Daniel Felix and Yassine, Essanaani (2024) The nexus of conventional, religious and ethical indexes during crisis. Journal of International Financial Markets, Institutions and Money, 95. p. 102027. DOI https://doi.org/10.1016/j.intfin.2024.102027
Abdelsalam, Omneya and Ahelegbey, Daniel Felix and Yassine, Essanaani (2024) The nexus of conventional, religious and ethical indexes during crisis. Journal of International Financial Markets, Institutions and Money, 95. p. 102027. DOI https://doi.org/10.1016/j.intfin.2024.102027
Abdelsalam, Omneya and Ahelegbey, Daniel Felix and Yassine, Essanaani (2024) The nexus of conventional, religious and ethical indexes during crisis. Journal of International Financial Markets, Institutions and Money, 95. p. 102027. DOI https://doi.org/10.1016/j.intfin.2024.102027
Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Covid-19, Conventional, Ethical, Islamic, Stock index, Networks, VAR |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Mathematics, Statistics and Actuarial Science, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 30 Apr 2026 15:32 |
| Last Modified: | 30 Apr 2026 15:32 |
| URI: | http://repository.essex.ac.uk/id/eprint/38897 |
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