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International Portfolio Diversification Possibilities: Could BRICS become a Destination for G7 Invesments

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  • Lei Pan
  • Vinod Mishra

Abstract

We investigate the diversification possibilities between BRICS and G7 stock markets. Our theoretical model suggests that risk-averse investors are diversifying internationally. The findings of cointegration test with multiple structural breaks reveal that apart from China and India, the remaining BRICS equity markets can be a potential diversification destination over the long term. The full sample bootstrap Granger causality tests results imply that G7 stock markets have predictive power for most BRICS stock markets. Both the long-run and shortrun parametric stability tests suggest that the full sample parameters are unstable hence unreliable The bootstrap rolling window estimations outline the causalities between stock markets are increasing during the crisis periods and vary over different sub-samples. Overall, our causality findings suggest that the short-term diversification possibilities are extremely limited. Finally, we analyze the impact of different financial and macroeconomic determinants on the crosscountry stock market causality through a probit model. We find the difference in business conditions, excess return and size premium are the main drivers of the causality flows.

Suggested Citation

  • Lei Pan & Vinod Mishra, 2019. "International Portfolio Diversification Possibilities: Could BRICS become a Destination for G7 Invesments," Monash Economics Working Papers 11-18, Monash University, Department of Economics.
    • Handle: RePEc:mos:moswps:2018-11
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    References listed on IDEAS

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    1. Toda, Hiro Y & Phillips, Peter C B, 1993. "Vector Autoregressions and Causality," Econometrica, Econometric Society, vol. 61(6), pages 1367-1393, November.
    2. Mantalos Panagiotis, 2000. "A Graphical Investigation of the Size and Power of the Granger-Causality Tests in Integrated-Cointegrated VAR Systems," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(1), pages 1-18, April.
    3. Kejriwal, Mohitosh & Perron, Pierre, 2010. "Testing for Multiple Structural Changes in Cointegrated Regression Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(4), pages 503-522.
    4. Park, Joon Y. & Phillips, Peter C.B., 1989. "Statistical Inference in Regressions with Integrated Processes: Part 2," Econometric Theory, Cambridge University Press, vol. 5(1), pages 95-131, April.
    5. Davidson, Russell & MacKinnon, James G., 1999. "The Size Distortion Of Bootstrap Tests," Econometric Theory, Cambridge University Press, vol. 15(3), pages 361-376, June.
    6. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    7. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    8. Panagiotis Mantalos & Ghazi Shukur, 1998. "Size and Power of the Error Correction Model Cointegration Test. A Bootstrap Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 60(2), pages 249-255, May.
    9. Atsushi Inoue & Lutz Kilian, 2002. "Bootstrapping Autoregressive Processes with Possible Unit Roots," Econometrica, Econometric Society, vol. 70(1), pages 377-391, January.
    10. Horowitz, Joel L., 1994. "Bootstrap-based critical values for the information matrix test," Journal of Econometrics, Elsevier, vol. 61(2), pages 395-411, April.
    11. R. Scott Hacker & Abdulnasser Hatemi-J, 2006. "Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application," Applied Economics, Taylor & Francis Journals, vol. 38(13), pages 1489-1500.
    12. Ghazi Shukur & Panagiotis Mantalos, 2000. "A simple investigation of the Granger-causality test in integrated-cointegrated VAR systems," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(8), pages 1021-1031.
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    More about this item

    Keywords

    international diversification; structural breaks; bootstrap rolling windows;
    All these keywords.

    JEL classification:

    • F30 - International Economics - - International Finance - - - General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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