Trading on Corporate Earnings News

Trading on Corporate Earnings News
Author: John Shon
Publisher: FT Press
Total Pages: 225
Release: 2011-03-09
Genre: Business & Economics
ISBN: 0132615851
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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.

Why Investors Should Trade Options Around Earnings Announcements

Why Investors Should Trade Options Around Earnings Announcements
Author: John Shon
Publisher: Pearson Education
Total Pages: 20
Release: 2011-03-16
Genre: Business & Economics
ISBN: 0132659751
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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. Two Line Description How to trade options before earning announcements — and profit whether the market raves or rages! Text Excerpt We’ve all seen perplexing market reactions to earnings announcements, but would you have guessed that this happens 40% of the time? Even if you predict the right direction of an earnings surprise, it’s still easy to lose money with a directional bet. So how can you profit from an earnings announcement? You use an options trading strategy called a “straddle.”

Why Are Earnings Announcements So Important to Traders and Investors?

Why Are Earnings Announcements So Important to Traders and Investors?
Author: John Shon
Publisher: Pearson Education
Total Pages: 23
Release: 2011-03-16
Genre: Business & Economics
ISBN: 0132659549
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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...

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!

Event Trading

Event Trading
Author: Ben Warwick
Publisher: McGraw-Hill Companies
Total Pages: 276
Release: 1996
Genre: Business & Economics
ISBN:
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Designed to capture profits from market reactions to news events, event trading provides a systematic approach for exploiting a variety of market-moving events such as economic reports, interest rate changes and surprises in corporate earnings.

Individual Investors and Corporate Earnings

Individual Investors and Corporate Earnings
Author: Daniel Taylor
Publisher:
Total Pages:
Release: 2010
Genre:
ISBN:
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This dissertation comprises two papers on the trading of individual investors around earnings announcements: 1. This study examines the effect of earnings announcements on individual investors' trading decisions and their trading profits. Consistent with earnings news informing the trading decisions of individual investors, I find that earnings announcements are associated with significant increases in individual investor market participation, and that these increases persist even after controlling for the information in prices. Moreover, and in contrast to the conventional wisdom that disclosure benefits unsophisticated investors at the expense of more sophisticated investors, I find that individuals' trades around earnings announcements earn economically and statistically significant losses, and that these losses are significantly greater than the losses of non-announcement trades. Consistent with these losses resulting from inefficient information processing, I find the higher the information content of the earnings announcement the greater the loss, and that increased losses around earnings announcements are concentrated among those individual investors who are not classified as affluent or active traders. Given the limited information processing ability of individual investors, the results suggest a more nuanced view of the welfare effects of disclosure. 2. This study examines the effect of contrarian retail trades on the pricing of earnings information. Consistent with price pressure from contrarian retail trades delaying the adjustment of prices to earnings information, I find that the negative price drift accompanying bad news is largest when retail investors buy on bad news, and that the positive price drift accompanying good news is largest when retail investors sell on good news. These findings are consistent with the correlated trading of retail investors around earnings announcements causing a delayed price adjustment which manifests as drift.

(Naked) Short Selling Around Earnings Announcement

(Naked) Short Selling Around Earnings Announcement
Author: Ye Wang
Publisher:
Total Pages:
Release: 2020
Genre:
ISBN:
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Since short sellers are considered sophisticated traders and respond to corporate news and public information in a timely manner, corporate earnings announcements containing new information can be used to update the beliefs of short sellers and affect their investment strategies. Abnormal market reactions to earnings surprises are traditionally considered due to market mispricing or investor overreaction to unexpected corporate news; however, such mispricing is also determined by the functioning of the market microstructure. This paper uses an innovative dataset that includes detailed short sales information and fails-to-deliver (FTDs) at the settlement dates for all stocks listed in the New York Stock Exchange and NASDAQ to provide empirical evidence that the FTDs arising from naked short selling contribute to this mispricing around earnings announcements. Furthermore, this paper provides empirical evidence that, even after new regulation for restricting naked short sales, such misbehavior still causes price distortion during negative corporate events. This work also identifies multiple factors that could influence the (naked) short sales constraints of trading securities. The results show that institutional ownership, insider sales, short interests, and trading volume in a dark pool are important factors in the (naked) short sales of underlying stocks.

Earnings News and Institutional Trading

Earnings News and Institutional Trading
Author: Timothy R. Burch
Publisher:
Total Pages: 41
Release: 2002
Genre:
ISBN:
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This paper examines how institutions trade in response to earnings news. The key result is that institutions do not seem to engage in momentum trading in response to past earnings news, especially bad news. In multivariate tests, there is significant evidence of momentum trading in response to past returns but not with respect to past earnings news. Momentum trading is strengthened, however, when past returns are accompanied by earnings news of the same sign. There is no evidence that momentum trading in response to past returns is the result of trading in anticipation of earnings news. There is some evidence that institutions engage in contrarian behavior in response to sequences of good or bad news which is consistent with the representativeness hypothesis of Barberis, Shleifer, and Vishny (1998).