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Regime-dependent relationships among the stock markets of the US, Australia and New Zealand: a Markov-switching VAR approach

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  • Zhuo Qiao
  • Yuming Li
  • Wing-Keung Wong

Abstract

Adopting a multivariate Markov-switching-VAR model (Krolzig, 1997) and a recently developed regime-dependent impulse response analysis technique (Ehrmann et al ., 2003), this article investigates the dynamic relationships among the stock markets of the US, Australia and New Zealand. Our results reveal the existence of two different regimes in the three stock markets. We find that the correlations among the three markets are significantly higher in a bear regime than in a bull regime. In addition, the responses of each of the three markets to shocks in the other two markets are stronger and more persistent in the bear regime than in the bull regime. Finally, our findings imply that for the New Zealand stock market, the Australian stock market is more influential than the US stock market, and for the Australian stock market, the US stock market is more influential than the New Zealand stock market.

Suggested Citation

  • Zhuo Qiao & Yuming Li & Wing-Keung Wong, 2011. "Regime-dependent relationships among the stock markets of the US, Australia and New Zealand: a Markov-switching VAR approach," Applied Financial Economics, Taylor & Francis Journals, vol. 21(24), pages 1831-1841, December.
    • Handle: RePEc:taf:apfiec:v:21:y:2011:i:24:p:1831-1841
    DOI: 10.1080/09603107.2011.595678
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    1. 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.
    2. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    3. Suman Das & Saikat Sinha Roy, 2021. "Predicting regime switching in BRICS currency volatility: a Markov switching autoregressive approach," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(2), pages 165-180, June.
    4. Chu, Amanda M.Y. & Lv, Zhihui & Wagner, Niklas F. & Wong, Wing-Keung, 2020. "Linear and nonlinear growth determinants: The case of Mongolia and its connection to China," Emerging Markets Review, Elsevier, vol. 43(C).
    5. 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.
    6. Lean, Hooi Hooi & Teng, Kee Tuan, 2013. "Integration of world leaders and emerging powers into the Malaysian stock market: A DCC-MGARCH approach," Economic Modelling, Elsevier, vol. 32(C), pages 333-342.
    7. Jouini, Jamel, 2015. "New empirical evidence from assessing financial market integration, with application to Saudi Arabia," Economic Modelling, Elsevier, vol. 49(C), pages 198-211.
    8. Wenjing Xie & João Paulo Vieito & Ephraim Clark & Wing-Keung Wong, 2020. "Could Mergers Become More Sustainable? A Study of the Stock Exchange Mergers of NASDAQ and OMX," Sustainability, MDPI, vol. 12(20), pages 1-25, October.
    9. 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.
    10. Cavicchioli, Maddalena, 2024. "A matrix unified framework for deriving various impulse responses in Markov switching VAR: Evidence from oil and gas markets," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
    11. Zobia Israr Ahmed & Khalid Mustafa, 2019. "Regime-Dependent Effects on Stock Market Return Dynamics: Evidence from SAARC Countries," Asian Development Policy Review, Asian Economic and Social Society, vol. 7(2), pages 111-132, June.
    12. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE 2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    13. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    14. 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.
    15. Cavicchioli, Maddalena, 2023. "Impulse response function analysis for Markov switching var models," Economics Letters, Elsevier, vol. 232(C).
    16. Carlos Pinho & Mara Madaleno, 2016. "Oil prices and stock returns: nonlinear links across sectors," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 15(2), pages 79-97, August.
    17. Henryk Gurgul & Artur Machno, 2015. "Regime-Dependent Relationships among Stock Markets in Frankfurt, Vienna and Warsaw," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 13(1 (Spring), pages 3-25.
    18. 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.
    19. Urom, Christian & Onwuka, Kevin O. & Uma, Kalu E. & Yuni, Denis N., 2020. "Regime dependent effects and cyclical volatility spillover between crude oil price movements and stock returns," International Economics, Elsevier, vol. 161(C), pages 10-29.
    20. Pami Dua & Divya Tuteja, 2021. "Regime Shifts in the Behaviour of International Currency and Equity Markets: A Markov-Switching Analysis," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 309-336, December.

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