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Spillover effect in Asian financial markets: A VAR-structural GARCH analysis

Author

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  • Yu Wang
  • Lei Liu

Abstract

Purpose - – The purpose of this paper is to provide a method for computing the spillover index first proposed by Diebold and Yilmaz (2009), with empirical application on Asian stock markets. Design/methodology/approach - – It is based on a VAR-structural-GARCH model. Findings - – The results clearly show that the main driver of fluctuations in Asian financial markets is the USA, with China having little connection with other markets. Further, evidence of financial contagion is found during both the 1997 Asian financial crisis and the 2008 global financial crisis. Originality/value - – The method has two advantages: it is both uniquely determined and dynamic.

Suggested Citation

  • Yu Wang & Lei Liu, 2016. "Spillover effect in Asian financial markets: A VAR-structural GARCH analysis," China Finance Review International, Emerald Group Publishing Limited, vol. 6(2), pages 150-176, May.
    • Handle: RePEc:eme:cfripp:v:6:y:2016:i:2:p:150-176
    DOI: 10.1108/CFRI-11-2014-0095
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    Citations

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    Cited by:

    1. Mehmet Sahiner, 2024. "Volatility Spillovers and Contagion During Major Crises: An Early Warning Approach Based on a Deep Learning Model," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2435-2499, June.
    2. Honghai Yu & Wangyu Chu & Yu’ang Ding & Xuezhou Zhao, 2021. "Risk contagion of global stock markets under COVID‐19:A network connectedness method," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(4), pages 5745-5782, December.
    3. Kai Shi, 2021. "Spillovers of Stock Markets among the BRICS: New Evidence in Time and Frequency Domains before the Outbreak of COVID-19 Pandemic," JRFM, MDPI, vol. 14(3), pages 1-37, March.
    4. Honghai Yu & Wencong Sun & Xiangting Ye & Libing Fang, 2019. "Measuring the increasing connectedness of Chinese assets with global assets: using a variance decompositions method," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1261-1290, March.
    5. Agudze, Komla & Ibhagui, Oyakhilome, 2020. "Oil Price Dynamics and Currency-Hedging Behavior," MPRA Paper 100949, University Library of Munich, Germany.
    6. Handika, Rangga & Soepriyanto, Gatot & Havidz, Shinta Amalina Hazrati, 2019. "Are cryptocurrencies contagious to Asian financial markets?," Research in International Business and Finance, Elsevier, vol. 50(C), pages 416-429.
    7. Mário Nuno Mata & Muhammad Najib Razali & Sónia R. Bentes & Isabel Vieira, 2021. "Volatility Spillover Effect of Pan-Asia’s Property Portfolio Markets," Mathematics, MDPI, vol. 9(12), pages 1-20, June.
    8. Abdul Wahid & Muhammad Zubair Mumtaz, 2018. "The Paradigm Shift in the Pakistan Stock Exchange’s Financial Integration Post-FTA and CPEC," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(1), pages 21-50, Jan-June.
    9. Velip Suraj Pavto & Guntur Anjana Raju, 2020. "Linkages between Oil Sectors Returns of Asian Emerging Stock Markets: Unearthing the Hidden Opportunity for Portfolio Diversification," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 152-156.
    10. Huang, Wenli & Li, Shi & Qi, Zhen & Zhang, Qi, 2022. "Macro disagreement and international stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    11. Xie, Nan & Wang, Zongrun & Chen, Sicen & Gong, Xu, 2019. "Forecasting downside risk in China’s stock market based on high-frequency data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 530-541.

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