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Does the US IT stock market dominate other IT stock markets: Evidence from multivariate GARCH model

Author

Listed:
  • Venus Khim-Sen Liew

    (Labuan School of International Business and Finance, Universiti Malaysia Sabah)

  • Wing-Keung Wong

    (Department of Economics, National University of Singapore)

  • Zhuo Qiao

    (Department of Economics, National University of Singapore)

Abstract

Utilizing multivariate GARCH framework, this study finds that generally the US Information Technology (IT) market contributes a strong volatility rather than mean spillover effect to non-US IT markets, implying that the US IT market plays a dominant role in affecting the volatility of world IT markets. However, our further analysis of the dynamic path of correlation coefficients reveals that the strong relationship between US and non-US IT markets had weakened after the burst of the IT bubble.

Suggested Citation

  • Venus Khim-Sen Liew & Wing-Keung Wong & Zhuo Qiao, 2007. "Does the US IT stock market dominate other IT stock markets: Evidence from multivariate GARCH model," Economics Bulletin, AccessEcon, vol. 6(27), pages 1-7.
    • Handle: RePEc:ebl:ecbull:eb-06f30029
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    References listed on IDEAS

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    8. Jeon, Bang Nam & Jang, Beom-Sik, 2004. "The linkage between the US and Korean stock markets: the case of NASDAQ, KOSDAQ, and the semiconductor stocks," Research in International Business and Finance, Elsevier, vol. 18(3), pages 319-340, September.
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    Cited by:

    1. Fedorova, Elena, 2011. "Transfer of financial risk in emerging eastern European stock markets : A sectoral perspective," BOFIT Discussion Papers 24/2011, Bank of Finland, Institute for Economies in Transition.
    2. repec:zbw:bofitp:2011_024 is not listed on IDEAS
    3. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Tinbergen Institute Discussion Papers 18-024/III, Tinbergen Institute.
    4. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," JRFM, MDPI, vol. 11(1), pages 1-29, March.
    5. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    6. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    7. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
    8. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 11(1), pages 1-29, March.
    9. Fedorova, Elena, 2011. "Transfer of financial risk in emerging eastern European stock markets: A sectoral perspective," BOFIT Discussion Papers 24/2011, Bank of Finland Institute for Emerging Economies (BOFIT).

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    JEL classification:

    • F3 - International Economics - - International Finance
    • G1 - Financial Economics - - General Financial Markets

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