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Browsing by Subject "Volatility persistence"

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    The effect of news on return volatility and volatility persistence: The Turkish economy during crisis
    (Taylor & Francis Group, 2014) Solakoğlu, M. N.; Demir, N.
    In this study, we investigate the effect of public information arrival on return volatility for Borsa Istanbul. New information arrival is measured by the number of daily news headlines for Turkey, the United States, and a sample of European countries with close trading ties with Turkey. We classify news headlines by country and type of news. Our findings indicate that, during a recessionary period, new information arrival causes return volatility mostly to decline. Moreover, both economic news and European news cause a significant decline in volatility persistence. However, when news is classified based on origin and type, a larger decline in persistence is observed.
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    News releases and stock market volatility: intraday evidence from borsa Istanbul
    (Elsevier Inc., 2015) Solakoglu, M. N.; Demir, N.
    In this study, we investigate the effect of public information arrival on return volatility for Borsa Istanbul (BIST) using intraday, 60-min returns between October 3, 2013 and March 31, 2014. Stock return and return volatility is expected to react to news arrival if such news causes market participants to adjust their portfolios. To measure new information arrival, we count the number of daily news headlines for Turkey, the United States, and a sample of European countries with close trading ties with Turkey. Furthermore, we focus on economic news and particularly on news on real economy and inflation. In addition, along with the BIST100 index, which is the most commonly used market portfolio index, we also utilize Second National Market (SNM) index. Our results show that news arrival influences return volatility negatively, and it has no significant effect on index returns. Moreover, return volatility responds significantly to negative surprises in GDP and inflation announcements. Finally, we do not provide evidence that indicates differences in the usage of information that arrives to the market between BIST100 and SNM investors. © 2015 Elsevier Inc. All rights reserved.

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