Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9223
Title: Dynamic co-movements and diversification benefits: The case of the Greater China region, the UK and the US equity markets
Authors: Guidi, Francesco 
Savva, Christos S. 
Ugur, Mehmet 
metadata.dc.contributor.other: Σάββα, Χρίστος Σ.
Major Field of Science: Social Sciences
Field Category: Economics and Business
Keywords: Cointegration;Conditional correlation;Diversification;Rolling windows
Issue Date: 1-Jun-2016
Source: Journal of Multinational Financial Management, 2016, vol. 35, pp. 59-78
Volume: 35
Start page: 59
End page: 78
Journal: Journal of Multinational Financial Management 
Abstract: This paper investigates the level of long-run co-movements and short-run dynamics among the Greater China region (Hong Kong SAR, Mainland China and Taiwan), the UK and the US stock markets. Although stock-price-index (SPI) co-movements are established in the long-run, the dynamic analysis based on a fixed rolling window of 160 weeks points out only intermittent episodes of long-run co-movements. Using an asymmetric dynamic covariance approach, we find positive but low and insignificant conditional correlations between stock market returns. These findings indicate scope for diversification benefits, the extent of which is estimated on the basis of different portfolio choices. Our portfolio analysis indicates that both UK and US investors would have secured higher levels of mean returns on the diversified portfolio. Furthermore, pairwise tests of equality show that the differences in the Sharpe ratios are statistically significant only in the case of UK investors.
URI: https://hdl.handle.net/20.500.14279/9223
ISSN: 1042444X
DOI: 10.1016/j.mulfin.2016.04.002
Rights: © Elsevier
Type: Article
Affiliation : University of Greenwich 
Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

CORE Recommender
Show full item record

SCOPUSTM   
Citations

10
checked on Nov 9, 2023

WEB OF SCIENCETM
Citations 10

8
Last Week
0
Last month
0
checked on Oct 29, 2023

Page view(s) 50

447
Last Week
0
Last month
3
checked on Dec 22, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.