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Asymmetric Increasing Trends in Dependence in International Equity Markets

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  • Tatsuyoshi Okimoto

Abstract

This paper investigates asymmetric increasing trends in dependence in major international equity markets. To this end, we develop a multiple-regime smooth-transition copula GARCH model and address several important questions, including the number of regimes and the existence of increasing asymmetric trends in dependence. Our results suggest that two or three regimes are sufficient for describing the dependence trends in international equity markets over the last 35 years with significant asymmetric increases. In addition, the implied time-series of three dependence measures show a wide variety of dynamics, demonstrating the usefulness of our framework to describe asymmetric increasing dependence trends. Finally, we evaluate the economic significance of our empirical finding based on the 99% value at risk and expected shortfall. Our result indicates that both risk measures have increased approximately 20% over the last 35 years in major equity markets.

Suggested Citation

  • Tatsuyoshi Okimoto, 2014. "Asymmetric Increasing Trends in Dependence in International Equity Markets," CAMA Working Papers 2014-44, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2014-44
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    Cited by:

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    2. Komatsubara, Tadaaki & Okimoto, Tatsuyoshi & Tatsumi, Ken-ichi, 2017. "Dynamics of integration in East Asian equity markets," Journal of the Japanese and International Economies, Elsevier, vol. 45(C), pages 37-50.
    3. Wen, Danyan & Wang, Gang-Jin & Ma, Chaoqun & Wang, Yudong, 2019. "Risk spillovers between oil and stock markets: A VAR for VaR analysis," Energy Economics, Elsevier, vol. 80(C), pages 524-535.
    4. Sahamkhadam, Maziar & Stephan, Andreas & Östermark, Ralf, 2022. "Copula-based Black–Litterman portfolio optimization," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1055-1070.
    5. Hossein Rad & Rand Kwong Yew Low & Robert Faff, 2016. "The profitability of pairs trading strategies: distance, cointegration and copula methods," Quantitative Finance, Taylor & Francis Journals, vol. 16(10), pages 1541-1558, October.
    6. Li, Guowen & Jing, Zhongbo & Li, Jingyu & Feng, Yuyao, 2023. "Drivers of risk correlation among financial institutions: A study based on a textual risk disclosure perspective," Economic Modelling, Elsevier, vol. 128(C).
    7. Iwatsubo, Kentaro & Watkins, Clinton, 2021. "The changing role of foreign investors in Tokyo stock price formation," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    8. Ngene, Geoffrey M. & Lee Kim, Yea & Wang, Jinghua, 2019. "Who poisons the pool? Time-varying asymmetric and nonlinear causal inference between low-risk and high-risk bonds markets," Economic Modelling, Elsevier, vol. 81(C), pages 136-147.
    9. Dimic, Nebojsa & Piljak, Vanja & Swinkels, Laurens & Vulanovic, Milos, 2021. "The structure and degree of dependence in government bond markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    10. Chang‐Che Wu & MeiChi Huang & Chih‐Chiang Wu, 2021. "The role of asymmetry and dynamics in carry trade and general financial markets," The Financial Review, Eastern Finance Association, vol. 56(2), pages 331-353, May.
    11. Tomoo Inoue & Tatsuyoshi Okimoto, 2022. "How does unconventional monetary policy affect the global financial markets?," Empirical Economics, Springer, vol. 62(3), pages 1013-1036, March.
    12. Buigut, Steven & Kapar, Burcu, 2020. "Effect of Qatar diplomatic and economic isolation on GCC stock markets: An event study approach," Finance Research Letters, Elsevier, vol. 37(C).
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    14. Harumi Ohmi & Tatsuyoshi Okimoto, 2016. "Trends in stock-bond correlations," Applied Economics, Taylor & Francis Journals, vol. 48(6), pages 536-552, February.
    15. Michael A. Goldstein & Joseph McCarthy & Alexei G. Orlov, 2019. "The Core, Periphery, and Beyond: Stock Market Comovements among EU and Non‐EU Countries," The Financial Review, Eastern Finance Association, vol. 54(1), pages 5-56, February.
    16. Holger Fink & Yulia Klimova & Claudia Czado & Jakob Stöber, 2017. "Regime Switching Vine Copula Models for Global Equity and Volatility Indices," Econometrics, MDPI, vol. 5(1), pages 1-38, January.

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    More about this item

    Keywords

    Smooth transition model; Copula; Spearman's rho; Tail dependence;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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