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  • 标题:Analysis of Systematic Risk around Firm-specific News in an Emerging Market using High Frequency Data
  • 本地全文:下载
  • 作者:SHABIR A.A.SALEEM ; PETER N.SMITH ; ABDULLAH YALAMAN
  • 期刊名称:Discussion Papers in Economics / Department of Economics, University of York
  • 出版年度:2020
  • 卷号:20
  • 语种:English
  • 出版社:University of York
  • 摘要:We investigate whether the daily betas of individual stocks vary with the release of firm-specific news in an emerging market. Using intraday prices of all stocks traded on the Borsa Istanbul, Turkey over the period 2005-2013, we find evidence that average market betas increase significantly from two weeks before the earning announcement day, and then revert to their average levels two weeks after the announcement. The increase in betas is greater for larger, positive surprise earnings announcements than for smaller, negative news. The results are consistent with features of the learning model of Patton and Verardo (2012) but not with a number of their empirical results.
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