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The impact of news, oil prices, and international spillovers on Russian financial markets

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  • Hayo, Bernd
  • Kutan, Ali M.

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. --

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Bibliographic Info

Paper provided by ZEI - Center for European Integration Studies, University of Bonn in its series ZEI Working Papers with number B 20-2002.

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Date of creation: 2002
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Handle: RePEc:zbw:zeiwps:b202002

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Related research

Keywords: financial market behavior; financial market integration; stock market returns; bonds market returns; news; emerging markets; transition economies;

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  1. 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.
  2. Ratna Sahay & Gaston Gelos, 2000. "Financial Market Spillovers in Transition Economies," IMF Working Papers 00/71, International Monetary Fund.
  3. Robert F. Engle & Victor K. Ng, 1991. "Measuring and Testing the Impact of News on Volatility," NBER Working Papers 3681, National Bureau of Economic Research, Inc.
  4. Lawrence R. Glosten & Ravi Jagannathan & David E. Runkle, 1993. "On the relation between the expected value and the volatility of the nominal excess return on stocks," Staff Report 157, Federal Reserve Bank of Minneapolis.
  5. 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.
  6. Rautava, Jouko, 2002. "The role of oil prices and the real exchange rate in Russia's economy," BOFIT Discussion Papers 3/2002, Bank of Finland, Institute for Economies in Transition.
  7. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
  8. 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.
  9. Jurgen Doornik & Marius Ooms, 2003. "Multimodality in the GARCH Regression Model," Economics Series Working Papers 2003-W20, University of Oxford, Department of Economics.
  10. 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.
  11. Nelson, Daniel B., 1990. "Stationarity and Persistence in the GARCH(1,1) Model," Econometric Theory, Cambridge University Press, vol. 6(03), pages 318-334, September.
  12. 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.
  13. Torsten Sløk & Peter F. Christoffersen, 2000. "Do Asset Prices in Transition Countries Contain Information About Future Economic Activity?," IMF Working Papers 00/103, International Monetary Fund.
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