Journal article 339 views 69 downloads
Potential diversification benefits: A comparative study of Islamic and conventional stock market indexes
Research in International Business and Finance, Volume: 67, Start page: 102098
Swansea University Author: Abedin Abedin
-
PDF | Version of Record
© 2023 The Author(s). Published by Elsevier B.V. Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0).
Download (1.83MB)
DOI (Published version): 10.1016/j.ribaf.2023.102098
Abstract
The study aims to contribute to the better understanding of potential diversification benefits for US and its major trading partners, namely Canada, Japan, and the UK, across both Islamic and conventional indexes. We applied a Dynamic Conditional Correlations (DCC) model to examine the dynamic corre...
Published in: | Research in International Business and Finance |
---|---|
ISSN: | 0275-5319 1878-3384 |
Published: |
Elsevier BV
2024
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa64516 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Abstract: |
The study aims to contribute to the better understanding of potential diversification benefits for US and its major trading partners, namely Canada, Japan, and the UK, across both Islamic and conventional indexes. We applied a Dynamic Conditional Correlations (DCC) model to examine the dynamic correlation and volatility of returns during 2001-2017. The findings put in evidence that, unlike Canadian peers, Japanese indexes exhibit a low dynamic correlation with US indexes, which ultimately suggests diversification opportunities for US-based investors. Understanding volatilities and correlations patterns through international markets would help investors, policymakers, and market participants to take informed decisions, mitigate risks, and anticipate potential spillover effects. |
---|---|
Keywords: |
Islamic finance, Stock market integration, Diversification benefits, DCC-GARCH |
College: |
Faculty of Humanities and Social Sciences |
Funders: |
Swansea University |
Start Page: |
102098 |