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2019 | 55 | nr 2 | 83--98
Tytuł artykułu

Political news and stock market reactions: evidence from Turkey over the period 2008-2017

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The primary objective of the study is to examine the impact of political news (good and bad news) on the returns and volatility of Borsa Istanbul 100 Index (BIST-100). Sample data cover the period from January 2008 to December 2017. The main sample was divided into two subperiods to insulate the dominating impacts of both the 2008 Global Financial Crisis and 2013 Federal Reserve Tapering on Turkish stock markets. The daily stock market data were collected from the Electronic Data Delivery System (EVDS) web service, while political news headlines were collected from the Guardian newspaper. Different nonlinear volatility models (symmetric and asymmetric Generalized AutoRegressive Conditional Heteroskedasticity [GARCH]-type models) were used to model and estimate BIST-100 volatility in response to political news. The findings of the paper highlight four main results. First, there seems to be a significant impact of political news on the returns and volatility of BIST-100 index. Second, negative shocks derived from bad news tend to have a significant impact on the returns and volatility of BIST-100, while positive shocks derived from good news do not tend to have any significant impact on the returns, but decreased returns volatility. Third, political news, both good and bad, can affect stock return and stock return volatility in different directions, and this direction is time-varying. Fourth, the findings strongly reveal the presence of "Leverage Effect" in the returns of BIST-100 index. Therefore, one can say that political uncertainty is still a problem for the Turkish stock market.(original abstract)
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Opis fizyczny
  • Anadolu University, Eskişehir, Turkey
  • Anadolu University, Eskişehir, Turkey
  • Arora, H. (2013). Testing weak form of efficiency of Indian stock market, Pacific Business Review International, Vol. 5. No. 12, pp. 16-23.
  • Asteriou, D., Hall, S.G. (2007). Applied econometrics: a modern approach, Rev. edn, Palgrave Macmillan, New York.
  • Beaulieu, M.-C., Cosset, J.-C., Essaddam, N. (2006). Political uncertainty and stock market returns: evidence from the 1995 Quebec referendum, Canadian Journal of Economics, Canadian Economics Association, Vol. 39, No. 2, pp. 621-642.
  • Białkowski, J., Gottschalk, K., Wisniewski, T.P. (2008). Stock market volatility around national elections, Journal of Banking and Finance, Vol. 32, No. 9, pp. 1941-1953.
  • Bilson, C.M., Brailsford, T.J., Hooper, V.C. (2002). The explanatory power of political risk in emerging markets, International Review of Financial Analysis, Vol. 11, No. 1, pp. 1-27.
  • Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity, Journal of Econometrics, Vol. 31, No. 3, pp. 307-327.
  • Brooks, C. (2002). Introductory econometrics for finance, Cambridge University Press, Cambridge.
  • Engle, R., Lee, G. (1993). A permanent and transitory component model of stock return volatility, University of California at San Diego, San Diego. Discussion Paper 92-44R.
  • Engle, R.F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation, Econometrica, Vol. 50, No. 4, pp. 987-1007.
  • Engle, R.F., Lilien, D.M., Robins, R.P. (1987). Estimating time varying risk premia in the term structure: the arch-m model, Econometrica, Vol. 55, No. 2, pp. 391-407.
  • Engle, R.F., Ng, V.K. (1993). Measuring and testing the impact of news on volatility, The Journal of Finance, Vol. 48, No. 5, pp. 1749-1778.
  • Erb, C., Harvey, C., Viskanta, T. (1996). Political risk, economic risk and financial risk, Financial Analysts Journal, Vol. 52, No. 6, pp. 29-46.
  • Glosten, L.R., Jagannathan, R., Runkle, D.E. (1993). On the relation between the expected value and the volatility of the nominal excess return on stocks, The Journal of Finance, Vol. 48, No. 5, pp. 1779-1801.
  • İlkuçan, A. (2004). The effects of political and economic news on the intradaily performance of the Istanbul Stock Exchange, Bilkent University, Dept. of Management - Master's degree [289], Ankara. Retrieved from
  • Kim, H.Y., Mei, J. (1994). Political risk and stock returns: the case of Hong Kong, NYU Working Paper No. FIN-94-039.
  • Kulwarothai, T. (2013). The effect of political risk on the volatility of stock return: evidence from Thailand, Thammasat University, Pathum Thani. Retrieved from
  • MacKinnon, J. G. (1996). Numerical distribution functions for unit root and cointegration tests, Journal of Applied Econometrics, Vol. 11, pp. 601-618.
  • Nelson, D.B. (1991). Conditional heteroskedasticity in asset returns: a new approach, Econometrica, Vol. 59, No. 2, pp. 347-370.
  • Osa, P.B. (2014). Political leaders and financial markets: a quantitative study of the markets response to changing political leadership, University of Oslo, Institutt for statsvitenskap [2806], Oslo. Retrieved from
  • Rossi, E. (2004). Lecture notes on Garch models, University of Pavia, Lombardy. Retrieved from
  • Sottilotta, C.E. (2013). Political risk: concepts, definitions, challenges, Paper Presented at Annual LUISS School of Government Annual Conference. LUISS Guido Carli, Rome.
  • Suleman, M.T. (2012). Stock market reaction to good and bad political news, Asian Journal of Finance and Accounting, Vol. 4, No. 1, pp. 299-312.
  • Taylor, S. (1986). Modelling financial time series, Wiley, Chichester.
  • Zakoian, J.-M. (1994). Threshold heteroskedastic models, Journal of Economic Dynamics and Control, Vol. 18, No. 5, pp. 931-955.
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