• Title/Summary/Keyword: 포털 검색강도

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The Effect of Portal Search Intensity on Stock Price Crash (포털 검색 강도가 주가 급락에 미치는 영향에 관한 연구)

  • Kim, Min-Su;Kwon, Hyuk-Jun
    • The Journal of Society for e-Business Studies
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    • v.22 no.2
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    • pp.153-168
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    • 2017
  • Recent studies focus on the role of investor attention and transparency in stock-related information in explaining stock return and trading volume. Moreover, recent literatures predict that firm opacity will increase the likelihood of future stock price crashes. In this paper, we investigate, using Naver Trend, the relation between portal search intensity and stock price crash. Using various alternative measures of stock price crash risk and search intensity, we demonstrate that stocks with larger volume of portal search are less likely to experience stock price crashes. These results are consistent with our hypothesis that accumulated firm opacity cause future stock price crash. Finally, our results still hold even after we control for the potential effect of endogeneity in the regression specifications.

The Effect of Portal Search Intensity on Stock Price Synchronicity and Risk: Evidence from Korea (한국 포털 사이트 검색강도가 주가 동조성 및 위험에 미치는 영향)

  • Kim, Min-Su;Xu, Mengxia;Kwon, Hyuk-Jun
    • The Journal of Society for e-Business Studies
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    • v.25 no.4
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    • pp.125-141
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    • 2020
  • Recent Studies emphasize the effect of investors attention, recognition and sentiment on the trading behavior of retail investors and stock price variation. In this study, we use Naver Trend to measure investors'attention and investigate the relation between investor attention and price synchronicity, total risk and systematic risk of stocks. Using various research methodologies such as portfolio analysis, fixed effect regression and dynamic panel analysis, we find consistent results. First, stock price synchronicity is increased with lager average search volume, but with less search variability. Second, both average search volume and its variability are positively related to total risk and beta of stocks. These results can be interpreted that search volume sharply increases only when stock-related event occurs.