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Wavelet analysis of the co-movement and lead–lag effect among multi-markets

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  • Sun, Qi
  • Xu, Weidong

Abstract

Recent literature draws attention to the relationship of some financial markets, in particular, both the co-movement and the lead–lag effect. This paper examines the weekly frequency market indices of Japan, Singapore, Hong Kong and China over the period 2000–2013 using wavelet analysis. The Morlet wavelet coherence model is employed since it allows the simultaneous examination of co-movement and lead–lag effect between the two markets in both the time and frequency domains. Our results show there exist a strong co-movement between stock markets of Japan, Singapore, Hong Kong and China in the long run and Japan leads the other markets in the long term.

Suggested Citation

  • Sun, Qi & Xu, Weidong, 2018. "Wavelet analysis of the co-movement and lead–lag effect among multi-markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 489-499.
  • Handle: RePEc:eee:phsmap:v:512:y:2018:i:c:p:489-499
    DOI: 10.1016/j.physa.2018.08.102
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    as
    1. Chang, Chun-Ping & Lee, Chien-Chiang, 2015. "Do oil spot and futures prices move together?," Energy Economics, Elsevier, vol. 50(C), pages 379-390.
    2. Francois Longin & Bruno Solnik, 1993. "Is the Correlation in International Equity Returns Constant: 1960-90?," CEPR Financial Markets Paper 0037, European Science Foundation Network in Financial Markets, c/o C.E.P.R, 33 Great Sutton Street, London EC1V 0DX..
    3. Bakshi, Gurdip & Cao, Charles & Chen, Zhiwu, 2000. "Do Call Prices and the Underlying Stock Always Move in the Same Direction?," The Review of Financial Studies, Society for Financial Studies, vol. 13(3), pages 549-584.
    4. Vacha, Lukas & Barunik, Jozef, 2012. "Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis," Energy Economics, Elsevier, vol. 34(1), pages 241-247.
    5. Yaqing Liu & Hongbing Ouyang, 2014. "Spillover and Comovement: The Contagion Mechanism of Systemic Risks Between the U.S. and Chinese Stock Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(S3), pages 109-121.
    6. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
    7. Jiang, Chun & Chang, Tsangyao & Li, Xiao-Lin, 2015. "Money growth and inflation in China: New evidence from a wavelet analysis," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 249-261.
    8. Granger, Clive W.J. & Huang, Bwo-Nung & Yang, Chin W., 1998. "A Bivariate Causality between Stock Prices and Exchange Rates: Evidence from Recent Asia Flu," University of California at San Diego, Economics Working Paper Series qt9bk607p6, Department of Economics, UC San Diego.
    9. Duan Wang & Boris Podobnik & Davor Horvati'c & H. Eugene Stanley, 2011. "Quantifying and Modeling Long-Range Cross-Correlations in Multiple Time Series with Applications to World Stock Indices," Papers 1102.2240, arXiv.org.
    10. Loh, Lixia, 2013. "Co-movement of Asia-Pacific with European and US stock market returns: A cross-time-frequency analysis," Research in International Business and Finance, Elsevier, vol. 29(C), pages 1-13.
    11. Roueff, François & von Sachs, Rainer, 2011. "Locally stationary long memory estimation," Stochastic Processes and their Applications, Elsevier, vol. 121(4), pages 813-844, April.
    12. Nektarios Aslanidis & Denise R. Osborn & Marianne Sensier, 2010. "Co-movements between US and UK stock prices: the role of time-varying conditional correlations," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 366-380.
    13. Jian Wang & Junfeng Zhu & Feifei Dou, 2012. "Who Plays the Key Role among Shanghai, Shenzhen and Hong Kong Stock Markets?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 20(6), pages 102-120, November.
    14. Lien, Donald & Yang, Li & Zhou, Chunyang & Lee, Geul, 2014. "Co-movement between RMB and New Taiwan Dollars: Evidences from NDF markets," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 265-272.
    15. Granger, Clive W. J. & Huangb, Bwo-Nung & Yang, Chin-Wei, 2000. "A bivariate causality between stock prices and exchange rates: evidence from recent Asianflu," The Quarterly Review of Economics and Finance, Elsevier, vol. 40(3), pages 337-354.
    16. Reboredo, Juan C. & Rivera-Castro, Miguel A., 2014. "Wavelet-based evidence of the impact of oil prices on stock returns," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 145-176.
    17. Yaqing Liu & Hongbing Ouyang, 2014. "Spillover and Comovement: The Contagion Mechanism of Systemic Risks Between the U.S. and Chinese Stock Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(03), pages 109-121, May.
    18. Issam Abdalla & Victor Murinde, 1997. "Exchange rate and stock price interactions in emerging financial markets: evidence on India, Korea, Pakistan and the Philippines," Applied Financial Economics, Taylor & Francis Journals, vol. 7(1), pages 25-35.
    19. Syed Faiq Najeeb & Obiyathulla Bacha & Mansur Masih, 2015. "Does Heterogeneity in Investment Horizons Affect Portfolio Diversification? Some Insights Using M-GARCH-DCC and Wavelet Correlation Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(1), pages 188-208, January.
    20. Mara Madaleno & Carlos Pinho, 2012. "International stock market indices comovements: a new look," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 17(1), pages 89-102, January.
    21. Luís Aguiar-Conraria & Maria Joana Soares, 2014. "The Continuous Wavelet Transform: Moving Beyond Uni- And Bivariate Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 344-375, April.
    22. Li, Xiao-Lin & Chang, Tsangyao & Miller, Stephen M. & Balcilar, Mehmet & Gupta, Rangan, 2015. "The co-movement and causality between the U.S. housing and stock markets in the time and frequency domains," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 220-233.
    23. Roueff, Francois & von Sachs, Rainer, 2011. "Locally stationary long memory estimation," LIDAM Reprints ISBA 2011009, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    24. Boris Podobnik & Duan Wang & H. Eugene Stanley, 2012. "High-frequency trading model for a complex trading hierarchy," Quantitative Finance, Taylor & Francis Journals, vol. 12(4), pages 559-566, October.
    25. Tong, Bin & Wu, Chongfeng & Zhou, Chunyang, 2013. "Modeling the co-movements between crude oil and refined petroleum markets," Energy Economics, Elsevier, vol. 40(C), pages 882-897.
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