The Effect of Earnings Announcements on Trading Outcomes for Different Investor Classes PDF Download

Author: James Dale Vincent
Publisher:
ISBN:
Category :
Languages : en
Pages : 65

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Author: John Shon
Publisher: FT Press
ISBN: 0132615851
Category : Business & Economics
Languages : en
Pages : 225

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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: Markku J. Vieru
Publisher:
ISBN:
Category :
Languages : en
Pages : 35

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This study focuses on post-earnings-announcement drift in an emerging market and whether it is associated with the trading activity of non-institutional trading around interim earnings announcements. We separate the stock trading activity of Finnish households into five trading classes. Data is all trades executed on the Helsinki Stock Exchange during 1996-2000. Results show that when earnings news contains only moderate price effects no clear evidence is found to show that trading by any of the specified non-institutional trading activity classes is particularly associated with price changes. However, excess buying of passive and intermediate individual investors after extremely negative earnings news seems to intensify the negative post-earnings returns. Also for extremely positive earnings news trading by individuals seems to be related to the post-earnings returns. In that sense post-earnings returns are related with the trading of non-institutional activity classes. However, the net trading of non-institutional investors with different trading activities on the announcement day does not affect the correlation between earnings surprises and subsequent returns. This suggests that the net trading of non-institutional investors' trading activity on the announcement event does not predict subsequent returns. Thus this result is consistent with that of Hirshleifer, Myers, Myers and Teoh (2003).

Author: John Shon
Publisher: Pearson Education
ISBN: 0132659549
Category : Business & Economics
Languages : en
Pages : 23

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This Element is an excerpt from Trading on Corporate Earnings News: Profiting from Targeted, Short-Term Options Positions (9780137084920) by John Shon, Ph.D., and Ping Zhou, Ph.D. Available in print and digital formats. Understand those crucial quarterly earning announcements: how they work, and how they impact stock prices. Quarterly earnings announcement are the most salient, most anticipated, regularly-recurring announcement that companies make. They are the most watched piece of information that comes directly from the people that know the business the best. They are also considered the most reliable source of information, largely because companies are subject to strict SEC Rule 10b-5 rules...

Author: Hannu J. Schadewitz
Publisher:
ISBN:
Category :
Languages : en
Pages : 56

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This study focuses on non-institutional trading behavior around interim earnings announcements in the emerging market. We separate the stock trading activity of Finnish households into five trading classes and compare the results to corresponding institutional trading. Data covering the years 1996-2000 shows that earnings news triggers trading in every trading classes. Before the event, especially active individuals show increased buying and selling activity compared to the non-event period. This finding supports Kim and Verrecchia's (1991a, b) proposition that announcement stimulates private information-gathering and trading. After the event we find that Finnish households in the most active investor class tend to follow a contrarian strategy, especially selling after the good news. This adds to previous evidence by Grinblatt and Keloharju (2000b). Further, individuals with active trading, perform better than the passive investors around the announcement. Finally, the impact of the announcement on institutional trading is clearly milder compared to that on the active investor classes.

Author: Anwer S. Ahmed
Publisher:
ISBN:
Category :
Languages : en
Pages : 41

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This study provides evidence regarding the effects of online trading on stock market reactions to quarterly earnings announcements. We test for differences in stock price and volume reactions to quarterly earnings announcements between a period with a significant amount of online trading (1996-1999) and a period without online trading (1992-1995). We conjecture that online trading has increased the proportion of naive investors in the market. Based on noisy rational expectations models of trade, we predict that this will result in larger stock price and trading volume reactions to earnings announcements. We find strong evidence in support of these predictions. The stock price results suggest that the advent of online trading has decreased average prior precision and the trading volume results suggest that online trading has increased differential belief revisions around earnings announcements. An analysis of the relation between volume reactions and price reactions in both periods suggests that the increase in differential belief revisions is primarily due to an increase in the differential interpretation of earnings announcements in the online trading period. Our findings are relevant for assessing the validity of concerns about online trading expressed by regulators and the validity of theoretical models of trade with asymmetrically informed investors.

Author: Ameer Gakhar Sultan
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Research has shown that trading decisions by individual investors are influenced by behavioural factors such as attention effects. The literature examining the effects of attention on individual trading behaviour measures attention using proxies such as abnormal trading volume and stocks covered in the media. These proxies do not separate the effect of trading due to changing fundamentals from attention-based trading. I use the distraction caused by earning announcements to study the effect of attention on individual trading behaviour. Consistent with the literature, I find that investors net buy stocks with extreme positive and extreme negative earnings. However, this result is only significant when investors are most attentive (least distracted); that is, on days when the number of competing announcements is low. On high distraction days when investors make the wrong trading decision initially, they amend their prior trading decision after a lag (delayed reaction) when they eventually observe the true earnings of the stock. The most active investors amend this prior trading decision before relatively nonactive investors do. The delayed reaction by active investors is not portrayed for stocks with no analyst coverage, as evident in consistent net buying. The results remain robust even if surprise is measured using analyst forecasts; announcement distractions are limited to announcements in similar or very different industries.

Author: Markku J. Vieru
Publisher:
ISBN:
Category :
Languages : en
Pages :

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The primary goal of this paper is to study whether the permanent price impact of large trades are greater before or after an interim earnings announcement on the Helsinki Stock Exchange. If the permanent price effects of large trades are greater before the announcement this would suggest that investors believe that some traders are better informed before the interim earnings announcement than after. Theoretical support is available that information asymmetry is greater prior to earnings announcements than after. The anticipation of a forthcoming public announcement stimulates the acquisition of private information, causing an increase in information asymmetry. This increase is facilitated by the flow of earnings-related information to the market (e.g., via pre-announcement communications by firms, actual earnings announcements of competitors, etc.). Thus investors gather information, make assessments, and form trading positions accordingly. In addition, compared to individuals (small investors), institutions (large investors) are better informed because they tend to have lower marginal costs of information gathering. Thus large trades are expected be monitored more closely on the trading screen and the information content for pricing purposes is expected to be larger for these trades than for corresponding small trades. Using permanent price effects as a measure of price adjustment for private information, tests were performed to see whether price adjustments are greater in pre-announcement periods than in post-announcement periods. The results, based on interim earnings releases, suggest that large trades do indeed produce greater permanent price effects before an announcement than after it. This suggests that large trades associated with price changes (especially uptick trades) before an announcement send a stronger signal to other investors than similar trades after the announcement. For small trades the results were insignificant.

Author: Benjamin C. Ayers
Publisher:
ISBN:
Category :
Languages : en
Pages : 46

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We examine whether the two distinct post-earnings-announcement drifts associated with seasonal random walk-based and analyst-based earnings surprises are attributable to the trading activities of distinct sets of investors. We predict and find that small (large) traders continue to trade in the direction of seasonal random walk-based (analyst-based) earnings surprises after earnings announcements. We also find that when small (large) traders react more thoroughly to seasonal random walk- (analyst-) based earnings surprises at the earnings announcements, the respective drift attenuates. Further evidence suggests that delayed small trades associated with random walk-based surprises are consistent with small traders' failure to understand time-series properties of earnings, whereas delayed large trades associated with analyst-based surprises are more consistent with a longer price discovery process. We also find that the analyst-based drift has declined in recent years.

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.