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The Impact of News, Oil Prices, and International Spillovers on Russian Financial Markets

Author

Listed:
  • Bernd Hayo

    (University of Essen)

  • Ali Kutan

    (Southern Illinois University)

Abstract

This paper analyzes the impact of news, oil prices, and international financial market developments on daily returns on Russian bond and stock markets. First, there is some persistence in both bond and stock market returns. Second, we find that U.S. stock market returns Granger-cause Russian financial markets. Third, growth in oil prices has a positive effect on Russian stock market returns. Fourth, there is a significant economic and statistical influence of a specific type of news on the Russian bond market: Positive (negative) news related to the energy sector raise (lower) daily returns by one percentage point. News from the war in Chechnya, on the other hand, do not appear to have a significant influence on financial markets.

Suggested Citation

  • Bernd Hayo & Ali Kutan, 2002. "The Impact of News, Oil Prices, and International Spillovers on Russian Financial Markets," Finance 0209001, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpfi:0209001
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    References listed on IDEAS

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    1. Doornik, Jurgen A. & Ooms, Marius, 2008. "Multimodality in GARCH regression models," International Journal of Forecasting, Elsevier, vol. 24(3), pages 432-448.
    2. Tim Bollerslev & Jeffrey M. Wooldridge, 1988. "Quasi-Maximum Likelihood Estimation of Dynamic Models with Time-Varying Covariances," Working papers 505, Massachusetts Institute of Technology (MIT), Department of Economics.
    3. repec:zbw:bofitp:2002_003 is not listed on IDEAS
    4. Rockinger, Michael & Urga, Giovanni, 2000. "The Evolution of Stock Markets in Transition Economies," Journal of Comparative Economics, Elsevier, vol. 28(3), pages 456-472, September.
    5. Mr. Torsten M Sloek & Mr. Peter F. Christoffersen, 2000. "Do Asset Prices in Transition Countries Contain Information About Future Economic Activity?," IMF Working Papers 2000/103, International Monetary Fund.
    6. Jouko Rautava, 2002. "The role of oil prices and the real exchange rate in Russia‘s economy," Macroeconomics 0209004, University Library of Munich, Germany.
    7. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    8. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    9. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    10. Gilmore, Claire G. & McManus, Ginette M., 2002. "International portfolio diversification: US and Central European equity markets," Emerging Markets Review, Elsevier, vol. 3(1), pages 69-83, March.
    11. R. Gaston Gelos & Ratna Sahay, 2001. "Financial market spillovers in transition economies," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 9(1), pages 53-86, March.
    12. Ms. Ratna Sahay & Mr. Gaston Gelos, 2000. "Financial Market Spillovers in Transition Economies," IMF Working Papers 2000/071, International Monetary Fund.
    13. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
    14. Nelson, Daniel B., 1990. "Stationarity and Persistence in the GARCH(1,1) Model," Econometric Theory, Cambridge University Press, vol. 6(3), pages 318-334, September.
    15. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Cited by:

    1. Vadim Ye. Zyamalov, 2017. "Comparison of the Predictive Ability of Single and Multi-Regime Models of Stock Market Dynamics," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 2, pages 64-75, April.
    2. Turuntseva, M. & Zyamalov, V., 2016. "Stock Markets under the Changing Terms of Trade," Journal of the New Economic Association, New Economic Association, vol. 31(3), pages 93-109.
    3. Elvira Sojli, 2007. "Contagion in emerging markets: the Russian crisis," Applied Financial Economics, Taylor & Francis Journals, vol. 17(3), pages 197-213.
    4. Mirzosharif JALOLOV & Tatsuyoshi MIYAKOSHI, 2005. "Who Drives The Russian Financial Markets?," The Developing Economies, Institute of Developing Economies, vol. 43(3), pages 374-395, September.

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    More about this item

    Keywords

    financial market behavior; financial market integration; stock market returns; bonds market returns; news; emerging markets; transition economies;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration

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