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Analysis of Post-earnings Announcement Market Reactions

Analysis of Post-earnings Announcement Market Reactions
Author: Nils Carlson
Publisher:
Total Pages:
Release: 2015
Genre: Economics
ISBN:

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The stock market, according to the efficient market hypothesis, is informationally efficient in that prices instantly reflect all available public information. Prior financial literature on the study of the relationship between earnings announcements and their effect on the stock market reveals that there is a significant "drift" of a firm's cumulative abnormal return that occurs in the direction of its earnings surprise. This phenomenon is in contrast to how the efficient market hypothesis would expect the market to react to this new information. The prior studies on this topic were conducted in the 1980s - before the existence of both high-speed access to news via cell phone alerts and the increasing ability to trade quickly on new information via online brokers. This study attempts to test this "post-earnings announcement drift" on the current market to see if this phenomenon is still relevant in today's market and to see if it can be exploited. This study finds that there is still a post-earnings announcement drift that persists for the twenty-one days following earnings announcements. The cumulative abnormal returns continue to drift upwards for "good news" firms and continue to drift downwards for "bad news" firms for twenty-one days and may continue in the same direction after this period. This study also finds that a trading strategy that involves forming long portfolios of firms that beat earnings by the greatest magnitude (most positive earnings surprise) and also have the largest abnormal return on the day of the announcement and forming a short portfolio of firms that miss estimates by the greatest magnitude (most negative earnings surprise) and have the most negative abnormal return on the day of the announcement had an average annualized return of 20.343% over the ten year period starting in 2004 while the S & P 500 had an average annualized return of 9.1% over the same period.


Stock Price Reaction to Quarterly Earnings Announcements with respect of outlook changes and deviation to consensus forecast

Stock Price Reaction to Quarterly Earnings Announcements with respect of outlook changes and deviation to consensus forecast
Author: Benjamin Schmitt
Publisher: GRIN Verlag
Total Pages: 57
Release: 2015-06-02
Genre: Business & Economics
ISBN: 3656972419

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Bachelor Thesis from the year 2008 in the subject Business economics - Investment and Finance, grade: 1.1, EBS European Business School gGmbH (Finance), language: English, abstract: Many authors have already studied about stock price reactions after earnings announcements yet, which is because of the importance of earnings announcements, in particular quarterly earnings announcements, for many investors. However, all major studies concerning this topic deal with long-term scenarios, the stock’s price performance is measured for a time period of at least three quarters. Due to the fact that there are many investors, especially institutional investors such as hedge funds that trade stocks much more frequently, the existing studies are not relevant for them. This paper studies stock price reactions around quarterly earnings announcements for companies listed in Deutscher Aktienindex (DAX) or Midcap DAX (MDAX) with respect to changes of the company’s full-year outlook and of earnings surprise regarding analyst consensus forecast within ten days before and after the announcement date. Hence, this paper aims to analyse short-term reaction to quarterly earnings announcements, which are of relevance for all investors, whose investment strategy is, at least partially, focussing on the short-term performance. The main target group of this analysis are therefore hedge funds and investors that run short-term strategies. Due to the fact that the widespread Event Study Methodology is focused on the long-term, it is irrelevant for this analysis.


Can Technical Analysis Signals Detect Price Reactions Around Earnings Announcement?

Can Technical Analysis Signals Detect Price Reactions Around Earnings Announcement?
Author: Dedhy Sulistiawan
Publisher:
Total Pages: 12
Release: 2014
Genre:
ISBN:

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This study examines whether technical analysis signals can detect price reactions before and after earnings announcement dates in Indonesian stock market. Earnings announcements produce reactions, both before and after the announcements. Informed investors may use private information before earnings announcements (Christophe, Ferri and Angel, 2004; Porter, 1992). Using technical analysis signals, this study expects that retail investors (uninformed investors) can detect preannouncements reaction. Technical analysis is selected because it is a powerful strategy, especially in developing stock market (Fifield, Power, and Sinclair, 2005; Ahmed, Beck, and Goldreyer, 2000), including Indonesia (McKenzie, 2007). This study also examines technical analysis signals after earnings announcements. Using the idea that preannouncements reaction absorb post announcements reactions, this study expect that technical analysis signals difficult to detect price reaction after earnings announcements. Using Indonesian data over 2007-2011, the results show that technical analysis signal before earnings announcements can produce profit, but signals after earnings announcements do not produce same results. Using several different measures of return, the results are statistically robust. Based on those results, this study concludes that technical analysis signal can detect reaction before announcements, but the signals don't work after earnings announcements. These findings contribute to accounting and technical analysis literatures.


Trading on Corporate Earnings News

Trading on Corporate Earnings News
Author: John Shon
Publisher: Financial Times/Prentice Hall
Total Pages: 0
Release: 2011
Genre: Business enterprises
ISBN: 9780137084920

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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.


Social Media Coverage and Post-Earnings Announcement Drift

Social Media Coverage and Post-Earnings Announcement Drift
Author: Rong Ding
Publisher:
Total Pages: 40
Release: 2020
Genre:
ISBN:

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In this study, we investigate how social media coverage mitigates the under-reaction to an earnings surprise captured by post-earnings announcement drift. Based on the analysis of data collected over a nine-year period (2006-2014) from Seeking Alpha, the largest crowdsourced social media platform providing third-party-generated financial commentary and analysis in the United States, we find that the market response to an earnings surprise attenuates for firms with high coverage on Seeking Alpha prior to the earnings announcement. Furthermore, such an effect is more salient for firms with lower institutional ownership and lower press coverage. The findings are consistent with the view that higher social media coverage facilitates a timely absorption of earnings-based information by stock prices, leading to a weaker under-reaction of the market.


Option Strategies for Earnings Announcements

Option Strategies for Earnings Announcements
Author: Ping Zhou
Publisher: FT Press
Total Pages: 258
Release: 2012-10-15
Genre: Business & Economics
ISBN: 0132947404

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By trading on corporate earnings, investors can reliably profit in both up and down markets, while avoiding market risk for nearly the entire quarter. In this book, two leading traders and portfolio managers present specific, actionable techniques anyone can use to capture these sizable profits. Ping Zhou and John Shon have performed an unprecedented empirical analysis of thousands of stocks, reviewing tens of millions of data points associated with option prices, earnings announcement returns, and fundamentals. Their massive analysis has identified consistent opportunities associated with focusing on the magnitude of the market’s reaction to earnings, not its direction. Option Trading Set-Ups for Corporate Earnings News offers concrete guidance for improving the likelihood of making correct forecasts, and managing the risks of incorrect forecasts. It introduces several ways to exploit option trading opportunities around earnings news, discuss crucial issues that most retail investors haven’t considered, and explore aspects of earnings-related option trading that have never been empirically examined and documented before. For example, they identify hidden patterns and potential opportunities based on valuation, industry, volatility, analyst forecasts, seasonality, and trades that immediately follow earnings announcements. Simply put, trading on earnings reports offers immense profit opportunities, if you know how. This book provides incontrovertible facts and detailed strategies, not just theories and anecdotes!


Option Strategies for Earnings Announcements

Option Strategies for Earnings Announcements
Author: Ping Zhou
Publisher: Financial Times/Prentice Hall
Total Pages: 0
Release: 2013
Genre: Corporate profits
ISBN: 9780132947398

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By trading on corporate earnings, investors can reliably profit in both up and down markets, while avoiding market risk for nearly the entire quarter. In this book, two leading traders and portfolio managers present specific, actionable techniques anyone can use to capture these sizable profits. Ping Zhou and John Shon have performed an unprecedented empirical analysis of thousands of stocks, reviewing tens of millions of data points associated with option prices, earnings announcement returns, and fundamentals. Their massive analysis has identified consistent opportunities associated with focusing on the magnitude of the market's reaction to earnings, not its direction. Option Trading Set-Ups for Corporate Earnings News offers concrete guidance for improving the likelihood of making correct forecasts, and managing the risks of incorrect forecasts. It introduces several ways to exploit option trading opportunities around earnings news, discuss crucial issues that most retail investors haven't considered, and explore aspects of earnings-related option trading that have never been empirically examined and documented before. For example, they identify hidden patterns and potential opportunities based on valuation, industry, volatility, analyst forecasts, seasonality, and trades that immediately follow earnings announcements. Simply put, trading on earnings reports offers immense profit opportunities, if you know how. This book provides incontrovertible facts and detailed strategies, not just theories and anecdotes!


Post-Earnings Announcement Drift

Post-Earnings Announcement Drift
Author: Tomas Tomcany
Publisher: LAP Lambert Academic Publishing
Total Pages: 92
Release: 2010-11
Genre:
ISBN: 9783843367813

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It is a well documented finding in finance theory that share prices drift in the direction of firms' unexpected earnings changes, a phenomenom known as post-earnings announcement drift, or earnings momentum. In this book, I study the stock prices' reaction to firms' quarterly earnings announcements. The book shows that the timeframe in which the drift occurs is related to the size of a firm and is limited in time after the earnings announcement. I further analyze the effect of the number of analysts covering a firm on the magnitude and persistance of post-earnings announcement drift. I document that recent analyst coverage predicts large drifts after the earnings announcements. I suggest several possible explanations, but the evidence seems most consistent with recent analyst coverage providing information about investor (or analyst) expectations regarding firm's future earnings. This book should be useful to professionals in Financial Economics, especially to those interested in Behavioral Finance in stock markets, but also to equity analysts, traders or investors interested in the stocks' response to earnings news.