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Measuring and Testing Tail Dependence and Contagion Risk Between Major Stock Markets

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  • EnDer Su

    (National Kaohsiung First University of Science and Technology)

Abstract

This paper studies the tail dependence for two smaller stock markets that are Taiwanese Taiex and South Korean Kospi against four larger stock markets that are S& P500, Nikkei, MSCI China, and MSCI Europe. The vector autoregression result indicates that both S&P500 and MSCI China indeed have the greatest impact and significance on the other four stock markets. However, the tail dependence of Taiex and Kospi versus either S&P500 or MSCI China are lower due to unilateral impacts from US or China. The Clayton copula yields the jumps of tail dependence and the elliptical copulas generate the trends of tail dependence. The threshold tests of Clayton Kendall’s taus between most stock markets are significant in both subprime and Greek debt crises while the tests of Student-t Kendall’s taus are only significant for the subprime crisis. It appears that the subprime has changeable trend and jump states of contagion risk while Greek debt has one steady trend state and changeable jump states of contagion risk.

Suggested Citation

  • EnDer Su, 2017. "Measuring and Testing Tail Dependence and Contagion Risk Between Major Stock Markets," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 325-351, August.
  • Handle: RePEc:kap:compec:v:50:y:2017:i:2:d:10.1007_s10614-016-9587-y
    DOI: 10.1007/s10614-016-9587-y
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    2. Anubha Goel & Aparna Mehra, 2019. "Analyzing Contagion Effect in Markets During Financial Crisis Using Stochastic Autoregressive Canonical Vine Model," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 921-950, March.
    3. Nathan Lael Joseph & Thi Thuy Anh Vo & Asma Mobarek & Sabur Mollah, 2020. "Volatility and asymmetric dependence in Central and East European stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 55(4), pages 1241-1303, November.
    4. Knyazev, Alexander & Lepekhin, Oleg & Shemyakin, Arkady, 2016. "Joint distribution of stock indices: Methodological aspects of construction and selection of copula models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 42, pages 30-53.
    5. Nguyen, Cuong & Ishaq Bhatti, M. & Henry, Darren, 2017. "Are Vietnam and Chinese stock markets out of the US contagion effect in extreme events?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 480(C), pages 10-21.
    6. Toan Luu Duc Huynh, 2019. "Spillover Risks on Cryptocurrency Markets: A Look from VAR-SVAR Granger Causality and Student’s-t Copulas," JRFM, MDPI, vol. 12(2), pages 1-19, April.

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    More about this item

    Keywords

    Contagion risk; Tail dependence; Copula GARCH; Threshold test;
    All these keywords.

    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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