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Investor Attention from Internet Search Volume and Underreaction to Earnings Announcements in Korea
Recent studies have used internet search volume as a measure of investor attention. In addition, literature argues that limited investor attention contributes to market underreaction to public information such as earnings announcements. We show that firms with more investor attention captured by abnormal internet search frequency have stronger announcement-day reactions and weaker post-earnings-announcement drift. The effect of abnormal search frequency is stronger for medium and small-sized firms, which usually receive insufficient attention. Our evidence indicates that firms with higher search intensity are traded more, especially by individual investors. Moreover, we imply that it is a sustainable development for investors to be able to use public information through the internet for investment in stock markets.
Investor Attention from Internet Search Volume and Underreaction to Earnings Announcements in Korea
Recent studies have used internet search volume as a measure of investor attention. In addition, literature argues that limited investor attention contributes to market underreaction to public information such as earnings announcements. We show that firms with more investor attention captured by abnormal internet search frequency have stronger announcement-day reactions and weaker post-earnings-announcement drift. The effect of abnormal search frequency is stronger for medium and small-sized firms, which usually receive insufficient attention. Our evidence indicates that firms with higher search intensity are traded more, especially by individual investors. Moreover, we imply that it is a sustainable development for investors to be able to use public information through the internet for investment in stock markets.
Investor Attention from Internet Search Volume and Underreaction to Earnings Announcements in Korea
Joon Chae (Autor:in) / Ryumi Kim (Autor:in) / Jaehee Han (Autor:in)
2020
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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