Multivariate conditional heteroscedasticity models with dynamic correlations for testing contagion

Sriananthakumar, S and Silvapulle, P 2008, 'Multivariate conditional heteroscedasticity models with dynamic correlations for testing contagion', Applied Financial Economics, vol. 18, pp. 267-273.


Document type: Journal Article
Collection: Journal Articles

Title Multivariate conditional heteroscedasticity models with dynamic correlations for testing contagion
Author(s) Sriananthakumar, S
Silvapulle, P
Year 2008
Journal name Applied Financial Economics
Volume number 18
Start page 267
End page 273
Total pages 7
Publisher Routledge Taylor and Francis Group
Abstract This paper models dynamic correlations between the Asian stock market returns and studies their behaviour over the period before, during and after the Asian financial crisis, which occurred in the 1990s. To establish the presence of contagion effect, this paper investigates whether or not there is a break-down in the correlation data generating process, particularly, during crises. The East Asian block - Thai, Malaysian, Indonesian and Korean - countries stock markets were considered in this study. Using multivariate generalised autoregressive conditional heteroscedasticity (MGARCH) models with dynamic correlations, this study finds strong evidence of contagion effects between (Thailand and Malaysia), (Thailand and Korea), (Malaysia and Korea) and (Korea and Indonesia).
DOI - identifier 10.1080/09603100500414628
ISSN 0960-3107
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