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Examining volatility spillover between Asian countries’ stock markets

Author

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  • Khalil Jebran

    (University of Malakand)

  • Amjad Iqbal

    (Dongbei University of Finance and Economics)

Abstract

Background This study examined the volatility spillover effects between the stock markets of Asian countries, i.e., Pakistan, India, Sri Lanka, China, Japan, and Hong Kong. Methods The daily data was considered from the period 4 January 1999 to 1 January 2014, consisting five trading days from Monday to Friday. The volatility spillover between stock markets was captured by using the generalized autoregressive conditional heteroskedasticity (GARCH) model. Results The empirical analyses show evidence of significant bidirectional spillover of return and volatility between China and Japan. The results also show significant bidirectional volatility transmission between the equity markets of the following countries: Hong Kong and Sri Lanka, China and Sri Lanka. The significant unidirectional transmissions of stock market volatility are found to be flowing from India to China, Sri Lanka to Japan, Pakistan to Sri Lanka, and Hong Kong to India and Japan. Conclusions These results are important for economic policy makers in order to safeguard the financial sector from international financial shocks. The investors can use this information for making efficient portfolio which will reduce their risk and enhance their returns.

Suggested Citation

  • Khalil Jebran & Amjad Iqbal, 2016. "Examining volatility spillover between Asian countries’ stock markets," China Finance and Economic Review, Springer, vol. 4(1), pages 1-13, December.
    • Handle: RePEc:spr:chfecr:v:4:y:2016:i:1:d:10.1186_s40589-016-0031-1
    DOI: 10.1186/s40589-016-0031-1
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    References listed on IDEAS

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    Cited by:

    1. Kashif Hamid & Muhammad Mudasar Ghafoor & Muhammad Yasir Saeed, 2020. "Emerging Markets and Volatility Spillover Effects: Empirical Evidence from Regional Emerging Economies of Pakistan, China, India, and Bangladesh," Global Economics Review, Humanity Only, vol. 5(1), pages 102-116, March.
    2. Man Wang & Yihan Cheng, 2022. "Forecasting value at risk and expected shortfall using high‐frequency data of domestic and international stock markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1595-1607, December.

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