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Author: Ron Kaniel
Publisher:
ISBN:
Category : Corporate profits
Languages : en
Pages : 53
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Book Description
Author: Ron Kaniel
Publisher:
ISBN:
Category : Corporate profits
Languages : en
Pages : 53
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Book Description
Author: Zhijuan Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 25
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Book Description
This paper studies whether individual investors have information advantage before earnings announcements on an emerging market using a unique data set of TWSE. Consistent with existing research on American market, it is surprising that pre-event individual investor trading is also positively correlated with stock returns on and after earnings announcements dates in Taiwan. However, the sign of correlation between individual investor trading and stock return around earnings announcements shows weak evidence of noise trading rather than information advantage, which is opposite to that of American stock market.
Author: John Shon
Publisher: FT Press
ISBN: 0132615851
Category : Business & Economics
Languages : en
Pages : 225
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Book Description
Profit from earnings announcements, by taking targeted, short-term option positions explicitly timed to exploit them! Based on rigorous research and huge data sets, this book identifies the specific earnings-announcement trades most likely to yield profits, and teaches how to make these trades—in plain English, with real examples! Trading on Corporate Earnings News is the first practical, hands-on guide to profiting from earnings announcements. Writing for investors and traders at all experience levels, the authors show how to take targeted, short-term option positions that are explicitly timed to exploit the information in companies’ quarterly earnings announcements. They first present powerful findings of cutting-edge studies that have examined market reactions to quarterly earnings announcements, regularities of earnings surprises, and option trading around corporate events. Drawing on enormous data sets, they identify the types of earnings-announcement trades most likely to yield profits, based on the predictable impacts of variables such as firm size, visibility, past performance, analyst coverage, forecast dispersion, volatility, and the impact of restructurings and acquisitions. Next, they provide real examples of individual stocks–and, in some cases, conduct large sample tests–to guide investors in taking advantage of these documented regularities. Finally, they discuss crucial nuances and pitfalls that can powerfully impact performance.
Author: Balkrishna Radhakrishna
Publisher:
ISBN:
Category : Corporations
Languages : en
Pages : 214
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Book Description
Author: James Dale Vincent
Publisher:
ISBN:
Category :
Languages : en
Pages : 65
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Book Description
Author: Priyantha Mudalige
Publisher:
ISBN:
Category :
Languages : en
Pages : 41
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Book Description
This study investigates the impact of timing of the release of firm-specific announcements on trading volume of individual and institutional investors. We use trading data in five-minute intervals to capture the immediate impact of announcements on the trading volume. We find that individual investors exhibit positive and significant abnormal volume prior to, issued capital announcements and after earnings announcements. However, institutions exhibit significant and positive abnormal volume prior to, and after earnings, periodic and issued capital announcements. Notably, both individual and institutional investors do not exhibit significant abnormal volume prior to, and after dividend announcements. Furthermore, individual (institutional) investors' buy (sell) volume is significantly higher than sell (buy) volume prior to, and after scheduled and unscheduled announcements. Our results suggest that timing of the release of firm-specific announcements influences investor trading volume.
Author: DOUGLAS J. SKINNER
Publisher:
ISBN:
Category :
Languages : en
Pages : 40
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Book Description
Author: Robert Charles Giannini
Publisher:
ISBN:
Category :
Languages : en
Pages : 64
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Book Description
We collect a unique dataset of Twitter posts to examine the change in investor disagreement around earnings announcements. We find that investors' opinions can either converge (reduced disagreement) or diverge (increased disagreement) around earnings announcements. The convergence and divergence of opinion has significant effects on trading volume and return. Consistent with theoretical predictions, both the convergence of opinion and the divergence of opinion are associated with greater volume reaction to earnings news. While the convergence of opinion is associated with lower earnings announcement returns, the divergence of opinion is associated with higher earnings announcement returns.
Author: David A. Hirshleifer
Publisher:
ISBN:
Category :
Languages : en
Pages : 54
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Book Description
This study tests whether naïve trading by individual investors, or some class of individual investors, causes post-earnings announcement drift (PEAD). Inconsistent with the individual trading hypothesis, individual investor trading fails to subsume any of the power of extreme earnings surprises to predict future abnormal returns. Moreover, individuals are significant net buyers after both negative and positive extreme earnings surprises, consistent with an attention effect, but not with their trades causing PEAD. Finally, we find no indication that trading by individuals explains the concentration of drift at subsequent earnings announcement dates. The paper is available here: "https://ssrn.com/abstract=1120495" https://ssrn.com/abstract=1120495.
Author: David A. Hirshleifer
Publisher:
ISBN:
Category :
Languages : en
Pages : 51
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Book Description
This study tests whether naiuml;ve trading by individual investors, or some class of individual investors, causes post-earnings announcement drift (PEAD). Inconsistent with the individual trading hypothesis, individual investor trading fails to subsume any of the power of extreme earnings surprises to predict future abnormal returns. Moreover, individuals are significant net buyers after both negative and positive extreme earnings surprises, consistent with an attention effect, but not with their trades causing PEAD. Finally, we find no indication that trading by individuals explains the concentration of drift at subsequent earnings announcement dates. Presentation slides available at https://ssrn.com/abstract=3228813.
