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Global Portfolio Diversification for Long-Horizon Investors

Author

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  • Luis M. Viceira
  • Zixuan (Kevin) Wang

Abstract

This paper conducts a theoretical and empirical investigation of global portfolio diversification for long-horizon investors in the presence of permanent cash flow shocks and transitory discount rate shocks to asset prices and returns. An increase in the cross-country correlations of cash flow shocks raises the risk of a globally diversified portfolio at all horizons. By contrast, an increase in the cross-country correlations of discount rate shocks has a muted effect on portfolio risk at long horizons and does not diminish the benefits of global portfolio diversification to long-term investors. Empirically, we find that increased correlations of discount rate shocks resulting from financial globalization appear to be the main driver of an estimated secular increase in the cross-country correlations of both stock and bond returns since the late 1990’s. Increased correlations of inflation shocks are also an important source of the shift in bond correlations. By contrast, we don’t find evidence of an increase in the cross-country correlations of equity cash flow news or stock market volatility shocks. Our findings imply that the benefits of global equity diversification have not declined for long horizon investors despite the secular increase in global stock correlations, while the benefits of global bond diversification have declined.

Suggested Citation

  • Luis M. Viceira & Zixuan (Kevin) Wang, 2018. "Global Portfolio Diversification for Long-Horizon Investors," NBER Working Papers 24646, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:24646
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    References listed on IDEAS

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    1. Pukthuanthong, Kuntara & Roll, Richard, 2009. "Global market integration: An alternative measure and its application," Journal of Financial Economics, Elsevier, vol. 94(2), pages 214-232, November.
    2. Lustig, Hanno & Stathopoulos, Andreas & Verdelhan, Adrien, 2016. "Nominal Exchange Rate Stationarity and Long-Term Bond Returns," Research Papers 3411, Stanford University, Graduate School of Business.
    3. Viceira, Luis M., 2012. "Bond risk, bond return volatility, and the term structure of interest rates," International Journal of Forecasting, Elsevier, vol. 28(1), pages 97-117.
    4. François Longin & Bruno Solnik, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, April.
    5. Dennis P. Quinn & Hans-Joachim Voth, 2008. "A Century of Global Equity Market Correlations," American Economic Review, American Economic Association, vol. 98(2), pages 535-540, May.
    6. Ľuboš Pástor & Robert F. Stambaugh, 2012. "Are Stocks Really Less Volatile in the Long Run?," Journal of Finance, American Finance Association, vol. 67(2), pages 431-478, April.
    7. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    8. Merton, Robert C, 1969. "Lifetime Portfolio Selection under Uncertainty: The Continuous-Time Case," The Review of Economics and Statistics, MIT Press, vol. 51(3), pages 247-257, August.
    9. Carmen M. Reinhart & Kenneth S. Rogoff, 2015. "Financial and Sovereign Debt Crises: Some Lessons Learned and Those Forgotten," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 2(4), pages 5-17, June.
    10. Haroon Mumtaz & Saverio Simonelli & Paolo Surico, 2011. "International Comovements, Business Cycle and Inflation: a Historical Perspective," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 176-198, January.
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    Cited by:

    1. Dilip B. Madan & King Wang, 2023. "Measuring Dependence in a Set of Asset Returns," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(2), pages 363-385, June.
    2. Alim, Wajid & Ali, Amjad & Farid, Maryiam, 2021. "The Impact of Islamic Portfolio on Risk and Return," MPRA Paper 111211, University Library of Munich, Germany.
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    4. Dumas, Bernard & Gabuniya, Tymur & Marston, Richard C., 2022. "Firms’ exposures to geographic risks," Journal of International Money and Finance, Elsevier, vol. 122(C).
    5. Anagnostopoulos, Alexios & Atesagaoglu, Orhan Erem & Faraglia, Elisa & Giannitsarou, Chryssi, 2022. "Cross country stock market comovement: A macro perspective," Journal of Monetary Economics, Elsevier, vol. 130(C), pages 34-48.

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    More about this item

    JEL classification:

    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • F3 - International Economics - - International Finance
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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