Using multivariate stochastic volatility models to investigate the interactions among ASDAQ and major Asian stock indices

Shieh Liang Chen, Shian Chang Huang, Yi Mien Lin

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

In this article, we employ a multivariate stochastic volatility (MSV) model to investigate the return and volatility interactions among three major Asian stock indices and the NASDAQ index. Using Laplace approximation to simplify the calculation of the likelihood function of the MSV model, we estimate the complex dynamics among these indices relatively quickly. A interesting phenomenon of our empirical results is that all the market indices examined exhibit significant leverage effects, especially the TWSI (Taiwan) index. Moreover, the return correlations are large in links between these Asian markets, but small in links between every Asian index and the NASDAQ index. However, the volatility correlations display a totally different pattern that is large in links of NASDAQ-TWSI, NASDAQ-KOSPI (South Korea), but small among links between these Asian indices.

Original languageEnglish
Pages (from-to)127-133
Number of pages7
JournalApplied Economics Letters
Volume14
Issue number2
DOIs
Publication statusPublished - 2007 Feb 1

Fingerprint

Asia
Stochastic volatility model
Interaction
Multivariate stochastic volatility
Stock index
South Korea
Leverage effect
Empirical results
Taiwan
Market index
Complex dynamics
Laplace approximation

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics

Cite this

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Using multivariate stochastic volatility models to investigate the interactions among ASDAQ and major Asian stock indices. / Chen, Shieh Liang; Huang, Shian Chang; Lin, Yi Mien.

In: Applied Economics Letters, Vol. 14, No. 2, 01.02.2007, p. 127-133.

Research output: Contribution to journalArticle

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