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Returns, correlations, and volatilities in equity markets: Evidence from six OECD countries during the US financial crisis

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  • Kim, Hyun-Seok
  • Min, Hong-Ghi
  • McDonald, Judith A.

Abstract

We investigate the dynamic interactions between stock-market excess returns, time-varying correlations and volatilities in six OECD countries and the United States during the US financial crisis and its aftermath. Using the seemingly-unrelated regression (SUR) and panel-regression models with return, correlation, and volatility equations, we show that excess returns can explain both correlations and volatilities and that own volatility can explain both excess returns and correlations. However, we find that correlations can explain neither excess returns nor volatilities. We find new and important evidence that ‘excess returns,’ ‘US excess returns,’ and ‘US volatilities’ should be included in the analysis of other countries' correlations and volatilities. The US T-bill-LIBOR interest-rate differential (TED spread) and foreign-exchange market volatility (FXV) negatively affect excess returns; however, the credit-default swap spread's effect is insignificant. Our findings are robust with different definitions of the key variables; they also provide important implications for international risk diversification: as financial-market conditions (measured by the TED spread and FXV) deteriorate, the links between stock-market returns, correlations, and volatilities appear to be strengthened.

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  • Kim, Hyun-Seok & Min, Hong-Ghi & McDonald, Judith A., 2016. "Returns, correlations, and volatilities in equity markets: Evidence from six OECD countries during the US financial crisis," Economic Modelling, Elsevier, vol. 59(C), pages 9-22.
  • Handle: RePEc:eee:ecmode:v:59:y:2016:i:c:p:9-22
    DOI: 10.1016/j.econmod.2016.06.016
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    Cited by:

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    3. Sama Haddad, 2023. "Global Financial Market Integration: A Literature Survey," JRFM, MDPI, vol. 16(12), pages 1-27, November.
    4. Emrah BALKAN & Umut UYAR, 2022. "The Fractal Structure of CDS Spreads: Evidence from the OECD Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 106-121, April.
    5. Chen, Peng, 2018. "Understanding international stock market comovements: A comparison of developed and emerging markets," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 451-464.
    6. Chao Xu & Jinchuan Ke & Xiaojun Zhao & Xiaofang Zhao, 2020. "Multiscale Quantile Correlation Coefficient: Measuring Tail Dependence of Financial Time Series," Sustainability, MDPI, vol. 12(12), pages 1-24, June.
    7. Cho, Jae-Beom & Min, Hong-Ghi & McDonald, Judith Ann, 2020. "Volatility and dynamic currency hedging," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    8. Ahdi Noomen Ajmi & Roula Inglesi-Lotz, 2021. "Revisiting the Kuznets Curve Hypothesis for Tunisia: Carbon Dioxide vs. Ecological Footprint," Working Papers 202171, University of Pretoria, Department of Economics.
    9. Tissaoui, Kais & Azibi, Jamel, 2019. "International implied volatility risk indexes and Saudi stock return-volatility predictabilities," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 65-84.

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    More about this item

    Keywords

    Correlations; Market volatilities; US financial crisis; TED spread; Stock-market volatility index; Foreign-exchange market volatility index;
    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
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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