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Time varying country risk: an assessment of alternative modelling techniques

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  • R. D. Brooks
  • R. W. Faff
  • M. McKenzie

Abstract

Three different techniques for the estimation of a time-varying beta are investigated: a bivariate GARCH model, the Schwert and Seguin approach, and the Kalman filter method. These approaches are applied to a set of monthly Morgan Stanley country index data over the period 1970 to 1995 and their relative performances compared. In-sample forecast tests of the performance of each of these methods for generating conditional beta suggest that the GARCH-based estimates of risk generate the lowest forecast error although these are not necessarily significantly less than those generated by the other techniques considered.

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  • R. D. Brooks & R. W. Faff & M. McKenzie, 2002. "Time varying country risk: an assessment of alternative modelling techniques," The European Journal of Finance, Taylor & Francis Journals, vol. 8(3), pages 249-274.
    • Handle: RePEc:taf:eurjfi:v:8:y:2002:i:3:p:249-274
    DOI: 10.1080/13518470110074837
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    Cited by:

    1. Johansson, Anders C., 2010. "Asian sovereign debt and country risk," Pacific-Basin Finance Journal, Elsevier, vol. 18(4), pages 335-350, September.
    2. Anders Johansson, 2009. "An analysis of dynamic risk in the Greater China equity markets," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 7(3), pages 299-320.
    3. Anders Johansson, 2009. "Stochastic volatility and time-varying country risk in emerging markets," The European Journal of Finance, Taylor & Francis Journals, vol. 15(3), pages 337-363.
    4. Sibel Celik, 2013. "Testing the Stability of Beta: A Sectoral Analysis in Turkish Stock Market," Journal of Economics and Behavioral Studies, AMH International, vol. 5(1), pages 18-23.
    5. Coleman, Jane A. & Shaik, Saleem, 2009. "Time-Varying Estimation of Crop Insurance Program in Altering North Dakota Farm Economic Structure," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49516, Agricultural and Applied Economics Association.
    6. Prabhath Jayasinghe & Albert K. Tsui, 2009. "Time-Varying Currency Betas : Evidence from Developed and Emerging Markets," Finance Working Papers 22761, East Asian Bureau of Economic Research.
    7. Асатуров К.Г., 2015. "Динамические Модели Систематического Риска: Сравнение На Примере Индийского Фондового Рынка," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 51(4), pages 59-75, октябрь.
    8. Kim Hiang Liow, 2006. "The Dynamics of Return Volatilty and Systematic Risk in International Real Estate Security Markets," Journal of Property Research, Taylor & Francis Journals, vol. 24(1), pages 1-29, November.
    9. Jaramillo, Laura & Weber, Anke, 2013. "Bond yields in emerging economies: It matters what state you are in," Emerging Markets Review, Elsevier, vol. 17(C), pages 169-185.
    10. Robert Brooks & Robert Faff & David Sokulsky, 2005. "The stock market impact of German reunification: international evidence," Applied Financial Economics, Taylor & Francis Journals, vol. 15(1), pages 31-42.
    11. Jayasinghe, Prabhath & Tsui, Albert K. & Zhang, Zhaoyong, 2014. "New estimates of time-varying currency betas: A trivariate BEKK approach," Economic Modelling, Elsevier, vol. 42(C), pages 128-139.
    12. Chuang, I-Yuan & Lu, Jin-Ray & Chen, Ching-Fu, 2006. "Estimating the systematic risk of airlines: A methodological comparison," Journal of Air Transport Management, Elsevier, vol. 12(2), pages 103-105.
    13. Serdar Neslihanoglu & Stelios Bekiros & John McColl & Duncan Lee, 2021. "Multivariate time-varying parameter modelling for stock markets," Empirical Economics, Springer, vol. 61(2), pages 947-972, August.
    14. Marshall, Andrew & Maulana, Tubagus & Tang, Leilei, 2009. "The estimation and determinants of emerging market country risk and the dynamic conditional correlation GARCH model," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 250-259, December.
    15. Zhou, Jian, 2013. "Conditional market beta for REITs: A comparison of modeling techniques," Economic Modelling, Elsevier, vol. 30(C), pages 196-204.
    16. Robert Brooks & Xibin Zhang & Emawtee Bissoondoyal Bheenick, 2007. "Country risk and the estimation of asset return distributions," Quantitative Finance, Taylor & Francis Journals, vol. 7(3), pages 261-265.
    17. Long, Ling & Tsui, Albert K. & Zhang, Zhaoyong, 2014. "Estimating time-varying currency betas with contagion: New evidence from developed and emerging financial markets," Japan and the World Economy, Elsevier, vol. 30(C), pages 10-24.
    18. Insana, Alessandra, 2022. "Does systematic risk change when markets close? An analysis using stocks’ beta," Economic Modelling, Elsevier, vol. 109(C).
    19. Hisham Al Refai & Gazi Mainul Hassan, 2018. "The Impact of Market-wide Volatility on Time-varying Risk: Evidence from Qatar Stock Exchange," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(2_suppl), pages 239-258, August.
    20. Lu, Jin-Ray & Lee, Pei-Hsuan & Chuang, I-Yuan, 2011. "Estimation of oil firm's systematic risk via composite time-varying models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(11), pages 2389-2399.
    21. Chevapatrakul, Thanaset, 2013. "Return sign forecasts based on conditional risk: Evidence from the UK stock market index," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2342-2353.

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