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The Impact of News, Oil Prices, and Global Market Developments on Russian Financial Markets

Author

Listed:
  • Bernd Hayo

    (University of Bonn & University of Duisburg-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, regarding returns, energy news affects returns, while news from the war in Chechnya is not significant. Market volatility does not appear to be sensitive to either type of news. Second, a significant effect of the growth in oil prices on Russian stock returns is detected. Third, the international influence on Russian financial markets depends upon the degree of financial liberalization. The higher the degree of financial liberalization, the stronger is the impact of U.S. stock returns on Russian financial markets. In addition, banking reform and interest rate liberalization efforts seem to dictate the globalization of Russian stock markets, while it is the progress in liberalizing securities markets and non-bank financial institutions that matters more for the globalization of Russian bond markets.

Suggested Citation

  • Bernd Hayo & Ali Kutan, 2004. "The Impact of News, Oil Prices, and Global Market Developments on Russian Financial Markets," Finance 0403002, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpfi:0403002
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    References listed on IDEAS

    as
    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. Edmonds, Radcliffe Jr. & Kutan, Ali M., 2002. "Is public information really irrelevant in explaining asset returns?," Economics Letters, Elsevier, vol. 76(2), pages 223-229, July.
    4. Bollerslev, Tim & Ghysels, Eric, 1996. "Periodic Autoregressive Conditional Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(2), pages 139-151, April.
    5. Tauchen, George E & Pitts, Mark, 1983. "The Price Variability-Volume Relationship on Speculative Markets," Econometrica, Econometric Society, vol. 51(2), pages 485-505, March.
    6. Melvin, Michael & Yin, Xixi, 2000. "Public Information Arrival, Exchange Rate Volatility, and Quote Frequency," Economic Journal, Royal Economic Society, vol. 110(465), pages 644-661, July.
    7. repec:zbw:bofitp:2002_003 is not listed on IDEAS
    8. 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.
    9. Richard K. Lyons, 2006. "The Microstructure Approach to Exchange Rates," MIT Press Books, The MIT Press, edition 1, volume 1, number 026262205x, April.
    10. 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.
    11. Jouko Rautava, 2002. "The role of oil prices and the real exchange rate in Russia‘s economy," Macroeconomics 0209004, University Library of Munich, Germany.
    12. Hayo, Bernd & Kutan, Ali M., 2005. "IMF-related news and emerging financial markets," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1126-1142, November.
    13. 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.
    14. 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.
    15. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    16. 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.
    17. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    18. repec:bla:etrans:v:9:y:2001:i:1:p:53-86 is not listed on IDEAS
    19. Ms. Ratna Sahay & Mr. Gaston Gelos, 2000. "Financial Market Spillovers in Transition Economies," IMF Working Papers 2000/071, International Monetary Fund.
    20. Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-547, August.
    21. 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.
    22. 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.
    23. 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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    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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