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Impact of Political News on the Baltic State Stock Markets

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  • Soultanaeva, Albina

    (Department of Economics, Umeå University)

Abstract

This paper studies the link between political news releases, and the returns and volatilities in the stock markets of Riga, Tallinn and Vilnius. Political news releases are viewed as proxies for political risk. The results indicate that political news events regarding domestic and foreign, excluding Russia, political issues led, on average, to lower uncertainty in the stock markets of Riga and Tallinn in 2001-2003. At the same time, political risk from Russia increased the volatility of the stock market in Tallinn. We found that there is only a weak relationship between political risks of different origins and the stock market volatility in the Baltic states in 2004-2007. In addition, we found a significant Monday effect, consistent with the trading behavior of institutional investors.

Suggested Citation

  • Soultanaeva, Albina, 2008. "Impact of Political News on the Baltic State Stock Markets," Umeå Economic Studies 735, Umeå University, Department of Economics.
    • Handle: RePEc:hhs:umnees:0735
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    References listed on IDEAS

    as
    1. Berry, Thomas D & Howe, Keith M, 1994. "Public Information Arrival," Journal of Finance, American Finance Association, vol. 49(4), pages 1331-1346, September.
    2. Art Durnev & Kan Li & Randall Mørck & Bernard Yeung, 2004. "Capital markets and capital allocation: Implications for economies in transition," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 12(4), pages 593-634, December.
    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. Brännäs, Kurt & G De Gooijer, Jan & Lönnbark, Carl & Soultanaeva, Albina, 2007. "Simultaneity and Asymmetry of Returns and Volatilities in the Emerging Baltic State Stock Exchanges," Umeå Economic Studies 725, Umeå University, Department of Economics.
    5. Fleming, Jeff & Kirby, Chris & Ostdiek, Barbara, 1998. "Information and volatility linkages in the stock, bond, and money markets," Journal of Financial Economics, Elsevier, vol. 49(1), pages 111-137, July.
    6. Kaminsky, Graciela L. & Schmukler, Sergio L., 1999. "What triggers market jitters?: A chronicle of the Asian crisis," Journal of International Money and Finance, Elsevier, vol. 18(4), pages 537-560, August.
    7. Chan, Yue-cheong & Chui, Andy C. W. & Kwok, Chuck C. Y., 2001. "The impact of salient political and economic news on the trading activity," Pacific-Basin Finance Journal, Elsevier, vol. 9(3), pages 195-217, June.
    8. 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.
    9. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    10. Hoti, Suhejla & McAleer, Michael & Chan, Felix, 2005. "Modelling the spillover effects in the volatility of atmospheric carbon dioxide concentrations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 46-56.
    11. Goriaev, Alexei & Zabotkin, Alexei, 2006. "Risks of investing in the Russian stock market: Lessons of the first decade," Emerging Markets Review, Elsevier, vol. 7(4), pages 380-397, December.
    12. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    13. Chang, Yuanchen & Taylor, Stephen J., 2003. "Information arrivals and intraday exchange rate volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(2), pages 85-112, April.
    14. de Goeij, Peter & Marquering, Wessel, 2005. "The generalized asymmetric dynamic covariance model," Finance Research Letters, Elsevier, vol. 2(2), pages 67-74, June.
    15. Suk-Joong Kim, 2018. "The Spillover Effects of US and Japanese Public Information News in Advanced Asia-Pacific Stock Markets," World Scientific Book Chapters, in: Information Spillovers and Market Integration in International Finance Empirical Analyses, chapter 6, pages 175-201, World Scientific Publishing Co. Pte. Ltd..
    16. Chang, Eric C. & Michael Pinegar, J. & Ravichandran, R., 1998. "US day-of-the-week effects and asymmetric responses to macroeconomic news," Journal of Banking & Finance, Elsevier, vol. 22(5), pages 513-534, May.
    17. Ederington, Louis H & Lee, Jae Ha, 1993. "How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-1191, September.
    18. Chan, Yue-cheong & John Wei, K. C., 1996. "Political risk and stock price volatility: The case of Hong Kong," Pacific-Basin Finance Journal, Elsevier, vol. 4(2-3), pages 259-275, July.
    19. Hakan Berument & Halil Kiymaz, 2001. "The day of the week effect on stock market volatility," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 25(2), pages 181-193, June.
    20. Gust Janssen, 2004. "Public information arrival and volatility persistence in financial markets," The European Journal of Finance, Taylor & Francis Journals, vol. 10(3), pages 177-197.
    21. Kiymaz, Halil & Berument, Hakan, 2003. "The day of the week effect on stock market volatility and volume: International evidence," Review of Financial Economics, Elsevier, vol. 12(4), pages 363-380.
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    Cited by:

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    2. Deltuvaitė Vilma, 2016. "Investigation of Stock Market Integration in the Baltic Countries," Economics and Business, Sciendo, vol. 28(1), pages 38-44, April.

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    More about this item

    Keywords

    Public information arrival; political risk; volatility; multivariate GARCH;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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