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Correlation Dynamics and International Diversification Benefits

Author

Listed:
  • Peter Christoffersen

    () (University of Toronto)

  • Vihang R. Errunza

    () (McGill University)

  • Kris Jacobs

    () (University of Houston)

  • Xisong Jin

    () (University of Luxembourg)

Abstract

Forecasting the evolution of security co-movements is critical for asset pricing and portfolio allocation. Hence, we investigate patterns and trends in correlations over time using weekly returns for developed markets (DMs) and emerging markets (EMs) during the period 1973-2012. We show that it is possible to model co-movements for many countries simultaneously using BEKK, DCC, and DECO models. Empirically, we ?find that correlations have significantly trended upward for both DMs and EMs. Based on a time-varying measure of diversification benefit, we ?find that it is not possible in a long-only portfolio to circumvent the increasing correlations by adjusting the portfolio weights over time. However, we do find some evidence that adding EMs to a DM-only portfolio increases diversification benefits.

Suggested Citation

  • Peter Christoffersen & Vihang R. Errunza & Kris Jacobs & Xisong Jin, 2013. "Correlation Dynamics and International Diversification Benefits," CREATES Research Papers 2013-49, Department of Economics and Business Economics, Aarhus University.
  • Handle: RePEc:aah:create:2013-49
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    References listed on IDEAS

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    Cited by:

    1. Gu, Huaying & Liu, Zhixue & Weng, Yingliang, 2017. "Time-varying correlations in global real estate markets: A multivariate GARCH with spatial effects approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 460-472.
    2. repec:eee:intfin:v:50:y:2017:i:c:p:1-12 is not listed on IDEAS
    3. Yilmaz, Mustafa K. & Sensoy, Ahmet & Ozturk, Kevser & Hacihasanoglu, Erk, 2015. "Cross-sectoral interactions in Islamic equity markets," Pacific-Basin Finance Journal, Elsevier, pages 1-20.
    4. Adam Clements & Ayesha Scott & Annastiina Silvennoinen, 2016. "Volatility Dependent Dynamic Equicorrelation," NCER Working Paper Series 111, National Centre for Econometric Research.
    5. repec:wly:japmet:v:32:y:2017:i:1:p:171-191 is not listed on IDEAS
    6. Kotkatvuori-Örnberg, Juha, 2016. "Dynamic conditional copula correlation and optimal hedge ratios with currency futures," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 60-69.
    7. Huang, MeiChi & Wu, Chih-Chiang & Liu, Shih-Min & Wu, Chang-Che, 2016. "Facts or fates of investors' losses during crises? Evidence from REIT-stock volatility and tail dependence structures," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 54-71.
    8. Mimouni, Karim & Charfeddine, Lanouar & Al-Azzam, Moh'd, 2016. "Do oil producing countries offer international diversification benefits? Evidence from GCC countries," Economic Modelling, Elsevier, vol. 57(C), pages 263-280.
    9. André Lucas & Bernd Schwaab & Xin Zhang, 2017. "Modeling Financial Sector Joint Tail Risk in the Euro Area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 171-191, January.
    10. repec:eee:ememar:v:31:y:2017:i:c:p:96-115 is not listed on IDEAS
    11. John Cotter & Stuart Gabriel & Richard Roll, 2016. "Nowhere to run, nowhere to hide: asset diversification in a flat world," Working Papers 201612, Geary Institute, University College Dublin.

    More about this item

    Keywords

    Asset pricing; asset allocation; dynamic conditional correlation (DCC); dynamic equicorrelation (DECO);

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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