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Author: Runeet Kishore Publisher: ISBN: Category : Languages : en Pages : 37
Book Description
We study the drift in returns of portfolios formed on the basis of the stock price reaction around earnings announcements. The Earnings Announcement Return (EAR) captures the market reaction to unexpected information contained in the company's earnings release. Besides the actual earnings news, this includes unexpected information about sales, margins, investment, and other less tangible information communicated round the earnings announcement. A strategy that buys and sells companies sorted on EAR produces an average abnormal return of 7.55% per year, 1.3%more than a strategy based on the traditional measure of earnings surprise, SUE. The post earnings announcement drift for EAR strategy is stronger than post earnings announcement drift for SUE. More importantly, unlike SUE, the EAR strategy returns do not show a reversal after 3 quarters. The EAR and SUE strategies appear to be independent of each other. A strategy that exploits both pieces of information generates abnormal returns of about 12.5% on an annual basis.
Author: Runeet Kishore Publisher: ISBN: Category : Languages : en Pages : 37
Book Description
We study the drift in returns of portfolios formed on the basis of the stock price reaction around earnings announcements. The Earnings Announcement Return (EAR) captures the market reaction to unexpected information contained in the company's earnings release. Besides the actual earnings news, this includes unexpected information about sales, margins, investment, and other less tangible information communicated round the earnings announcement. A strategy that buys and sells companies sorted on EAR produces an average abnormal return of 7.55% per year, 1.3%more than a strategy based on the traditional measure of earnings surprise, SUE. The post earnings announcement drift for EAR strategy is stronger than post earnings announcement drift for SUE. More importantly, unlike SUE, the EAR strategy returns do not show a reversal after 3 quarters. The EAR and SUE strategies appear to be independent of each other. A strategy that exploits both pieces of information generates abnormal returns of about 12.5% on an annual basis.
Author: John Shon Publisher: FT Press ISBN: 0132615851 Category : Business & Economics Languages : en Pages : 225
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: Joshua Livnat Publisher: ISBN: Category : Languages : en Pages : 39
Book Description
This study explores an additional factor that is associated with differential levels of the post-earnings-announcement drift (henceforth drift) - the contemporaneous surprise in revenues. Consistent with prior evidence about greater persistence of revenues and greater noise caused by heterogeneity of expenses, this study shows that the earnings drift is stronger when the revenue surprise is in the same direction as the earnings surprise. Moreover, the study provides direct evidence that the drift is stronger when the earnings persistence is greater. The results are robust to various controls, including the proportions of stock held by institutional investors, trading liquidity, and arbitrage risk.
Author: Katrina Ellis Publisher: ISBN: Category : Languages : en Pages : 25
Book Description
It has been well-documented that prices respond quickly, if not completely, to the information in quarterly earnings announcements. In this paper we show that after conditioning on past earnings surprises, companies that meet analyst expectations have positive (negative) returns following a prior negative (positive) surprise. We attribute this price response to investors expecting to be surprised, in that they expect past earnings surprises to continue into the future. As meeting expectations is a reversal of the surprise trend, the investors react to this new information by reversing the price trend. The price response to meeting earnings forecasts appears to be due to investor overreaction, with subsequent returns undoing the overreaction.
Author: John Shon Publisher: Pearson Education ISBN: 0132659751 Category : Business & Economics Languages : en Pages : 20
Book Description
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.”
Author: Donald H. Fehrs Publisher: ISBN: Category : Languages : en Pages : 19
Book Description
Numerous articles over the past few decades have documented a consistent relationship between earnings surprises and subsequent stock price performance. [See, for example, Ball and Brown (1968), Rendleman, Jones, and Latane (1982), Foster, Olsen, and Shevlin (1984), and Bernard and Thomas (1989).] Specifically when firms announce quarterly earnings figures that are higher (lower) than market expectations, as proxied by either mechanical time-series models or commercially available analysts forecasts, the stock price performance following the announcement tends to be abnormally good (bad). This phenomenon is referred to as post-earnings-announcement drift or the standardized unexpected earnings effect, SUE for short.
Author: Beverly R. Walther Publisher: ISBN: Category : Languages : en Pages : 41
Book Description
We investigate potential costs experienced by firms that repeatedly have large quarterly earnings surprises during a condensed period of time. Consistent with our predictions, our univariate results indicate that surprise firms have lower analyst following, lower institutional ownership, and higher earnings-price ratios than firms that do not have large earnings surprises. Our multivariate findings, controlling for potentially confounding factors, are generally consistent with the univariate results, although our conclusions regarding institutional ownership are weaker. Further, our results generally hold regardless of whether the firm has positive surprises, negative surprises, or earnings surprises of mixed sign, suggesting that negative earnings surprises do not drive the results. Assuming that the documented differences represent a cost of earnings surprises, our findings provide an explanation for managers' desire to avoid surprising the market and their willingness to voluntarily disclose earnings-related information in advance of the mandated earnings announcement.
Author: Ping Zhou Publisher: FT Press ISBN: 0132947404 Category : Business & Economics Languages : en Pages : 258
Book Description
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!
Author: Jedediah Baker Publisher: ISBN: Category : Languages : en Pages : 10
Book Description
This paper examines the predictability of price and volume movements using Google Insights on equities exhibiting earnings surprise and the association with pre-announcement information searching. The motivation for this paper is to answer two primary research questions. First of all, using more recent stocks earnings surprise, is Google search data a good indicator of investor interest prior to the earnings announcement? Second does the Google data add to the predictability of post earnings volume and pricing direction? Data on earnings surprise were taken from Yahoo Finance and Google search volume data were taken from the Google trends website. While the results found in the analyses above are not highly convincing regarding Google trends data and price movement from earnings surprise, the results on the volume models yielded promising (i.e. significant) results. Moreover, Mean Absolute Error was reduced by approximately 8% when incorporating the Google trends data on volume predictions.
Author: Runeet Kishore
Author: Runeet Kishore
Author: John Shon
Author: Cintia M. Easterwood
Author: Joshua Livnat
Author: Katrina Ellis
Author: John Shon
Author: Donald H. Fehrs
Author: Beverly R. Walther
Author: Ping Zhou
Author: Jedediah Baker