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Identifying the risk-return tradeoff and exploring the dynamic risk exposure of country portfolio of the FSU's oil economies

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  • Sun, Xiaolei
  • Li, Jianping
  • Tang, Ling
  • Wu, Dengsheng

Abstract

Country risk not only reflects the overall risk of a given economy but also offers other more comprehensive risk information for stakeholders' decision-making. Different from previous studies focusing on oil import portfolio risk, this paper expands the scope of risk exposure from the micro risk of import portfolio to the macro risk of country portfolio, and puts forward a two-step framework to analyze the risk exposure when importing oil from the FSU region. Firstly, the paper analyzes the risk-return tradeoff of the FSU compared with the Middle East. Secondly, the country portfolio perspective is used from a macro risk perspective, and then an extension of the Value-at-Risk model which is incorporated time-varying conditional volatility mode is adopted to describe the dynamic risk of country portfolio. Empirical results show that increasing energy imports from the FSU is an effective way for China to balance risk from the high import dependence on the Middle East, but China faces more significant risk exposure of country portfolio comprised of FSU's oil economies than EU does.

Suggested Citation

  • Sun, Xiaolei & Li, Jianping & Tang, Ling & Wu, Dengsheng, 2012. "Identifying the risk-return tradeoff and exploring the dynamic risk exposure of country portfolio of the FSU's oil economies," Economic Modelling, Elsevier, vol. 29(6), pages 2494-2503.
    • Handle: RePEc:eee:ecmode:v:29:y:2012:i:6:p:2494-2503
    DOI: 10.1016/j.econmod.2012.07.002
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    1. Hoti, Suhejla, 2005. "Modelling country spillover effects in country risk ratings," Emerging Markets Review, Elsevier, vol. 6(4), pages 324-345, December.
    2. Pesaran, Bahram & Pesaran, M. Hashem, 2010. "Conditional volatility and correlations of weekly returns and the VaR analysis of 2008 stock market crash," Economic Modelling, Elsevier, vol. 27(6), pages 1398-1416, November.
    3. Campbell, Rachel & Huisman, Ronald & Koedijk, Kees, 2001. "Optimal portfolio selection in a Value-at-Risk framework," Journal of Banking & Finance, Elsevier, vol. 25(9), pages 1789-1804, September.
    4. Iglesias, Emma M. & Phillips, Garry D. A., 2003. "Another look about the evolution of the risk premium: a VAR-GARCH-M model," Economic Modelling, Elsevier, vol. 20(4), pages 777-789, July.
    5. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    6. Wabiri, Njeri & Amusa, Hammed, 2010. "Quantifying South Africa's crude oil import risk: A multi-criteria portfolio model," Economic Modelling, Elsevier, vol. 27(1), pages 445-453, January.
    7. Luc Bauwens & Sébastien Laurent & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109, January.
    8. Costello, Ken, 2005. "A Perspective on Fuel Diversity," The Electricity Journal, Elsevier, vol. 18(4), pages 28-47, May.
    9. Hallock, John L. & Tharakan, Pradeep J. & Hall, Charles A.S. & Jefferson, Michael & Wu, Wei, 2004. "Forecasting the limits to the availability and diversity of global conventional oil supply," Energy, Elsevier, vol. 29(11), pages 1673-1696.
    10. Christoffersen, Peter F, 1998. "Evaluating Interval Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 841-862, November.
    11. Gnansounou, Edgard, 2008. "Assessing the energy vulnerability: Case of industrialised countries," Energy Policy, Elsevier, vol. 36(10), pages 3734-3744, October.
    12. Pesaran, M.H., 2010. "Conditional Volatility and Correlations of Weekly Returns and the VaR Analysis of 2008 Stock Market," Cambridge Working Papers in Economics 1025, Faculty of Economics, University of Cambridge.
    13. Suhejla Hoti & Michael McAleer, 2004. "An Empirical Assessment of Country Risk Ratings and Associated Models," Journal of Economic Surveys, Wiley Blackwell, vol. 18(4), pages 539-588, September.
    14. Wu, Gang & Wei, Yi-Ming & Fan, Ying & Liu, Lan-Cui, 2007. "An empirical analysis of the risk of crude oil imports in China using improved portfolio approach," Energy Policy, Elsevier, vol. 35(8), pages 4190-4199, August.
    15. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    16. Asai, Manabu & McAleer, Michael, 2008. "A Portfolio Index GARCH model," International Journal of Forecasting, Elsevier, vol. 24(3), pages 449-461.
    17. Kalyuzhnova, Yelena & Nygaard, Christian, 2008. "State governance evolution in resource-rich transition economies: An application to Russia and Kazakhstan," Energy Policy, Elsevier, vol. 36(6), pages 1829-1842, June.
    18. Tastan, Hüseyin, 2006. "Estimating time-varying conditional correlations between stock and foreign exchange markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 445-458.
    19. Comte, F. & Lieberman, O., 2003. "Asymptotic theory for multivariate GARCH processes," Journal of Multivariate Analysis, Elsevier, vol. 84(1), pages 61-84, January.
    20. Hammer, P.L. & Kogan, A. & Lejeune, M.A., 2006. "Modeling country risk ratings using partial orders," European Journal of Operational Research, Elsevier, vol. 175(2), pages 836-859, December.
    21. Wang, Yudong & Wu, Chongfeng & Wei, Yu, 2011. "Can GARCH-class models capture long memory in WTI crude oil markets?," Economic Modelling, Elsevier, vol. 28(3), pages 921-927, May.
    22. Gupta, Eshita, 2008. "Oil vulnerability index of oil-importing countries," Energy Policy, Elsevier, vol. 36(3), pages 1195-1211, March.
    23. Jianping Li & Xiaolei Sun & Wan He & Ling Tang & Weixuan Xu, 2009. "Modeling Dynamic Correlations And Spillover Effects Of Country Risk: Evidence From Russia And Kazakhstan," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 803-818.
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