Option Strategies for Earnings Announcements PDF Download
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Author: Ping Zhou
Publisher: FT Press
ISBN: 0132947404
Category : Business & Economics
Languages : en
Pages : 258
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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: Ping Zhou
Publisher: FT Press
ISBN: 0132947404
Category : Business & Economics
Languages : en
Pages : 258
Get Book Here
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: John Shon
Publisher: Pearson Education
ISBN: 0132659751
Category : Business & Economics
Languages : en
Pages : 20
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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: 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: kaushik i. amin and charles m.c. lee
Publisher:
ISBN:
Category :
Languages : en
Pages : 34
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Book Description
Author: Monique W.M. Donders
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
In this paper we study the impact of earnings announcements on trading volume, open interest and spreads in the stock option market. We find that option volume is higher around announcement days, even if we correct for stock volume and the expected future volatility of stock returns. Results in the pre-event period are different for good and bad news samples, indicating that option traders have access to (possibly short lived) private information. During the days before the announcements open interest tends to increase. After the earnings news dissemination traders seem to lose interest in the contracts and cancel part of their option positions thereby reducing open interest to normal levels. Analysis of quoted spreads provide no evidence of dealers' anticipation of higher information asymmetry in the pre- or post announcement period. However, results for effective spreads indicate that the transaction costs are higher on the announcement day itself and on the day immediately following the earnings dissemination. Both quoted and effective spreads are shown to respond to changes in trading volume and expected return variability.
Author: Kaushik I. Amin
Publisher:
ISBN:
Category : Employee stock options
Languages : en
Pages : 42
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Book Description
Author: Sunyoung Kim
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
We examine the effect of option listing on the stock-price response to quarterly earnings announcements. We find that option trading reduces the magnitude of the pre-earnings announcement drift. We also present evidence that firms with options exhibit more intensive price reactions to earnings news than firms without options. In addition, we show that the magnitude of the post-earnings announcement drift is smaller for option firms than non-option firms. These results suggest that the existence of traded options increases the speed of stock price adjustment. Overall, our results reinforce the notion that option listing improves the informational efficiency in equity markets. In addition, our results are consistent with the view that transactions costs cause a delayed price response in the post-earnings announcement period.
Author: Lenaye Harris
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
I find no significant difference in the level of information share attributed to the option market when using put data as opposed to call data. In a 12-day sample of 14 S&P 500 stocks, trading volume in the options market increased significantly on the day of an earnings announcement, but, although some securities showed dramatic increases in option information share, no sample-wide consistently signed difference was found around earnings announcements. Companies with higher stock trading volume tend to exhibit higher information share in the options market. Implied price volatility is somewhat correlated with higher information share in options, but its significance shrinks when jointly evaluated with volume.
Author: John Shon
Publisher: Pearson Education
ISBN: 0132659549
Category : Business & Economics
Languages : en
Pages : 23
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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. 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: Brian Johnson
Publisher:
ISBN: 9780996182300
Category : Investment analysis
Languages : en
Pages : 256
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Book Description
Exploiting Earnings Volatility introduces an innovative new framework for evaluating, optimizing, and trading option strategies to profit from earnings-related pricing anomalies. Leveraging his extensive background in option-pricing and decades of experience in investment management and trading, Brian Johnson developed this inventive approach specifically to design and manage option earnings strategies. In an Active Trader article titled "Modeling Implied Volatility," Mr. Johnson introduced a formula for aggregating discrete volatility measures into a single metric that can be used with conventional option pricing formulas to accurately model implied volatility before and after earnings announcements. The practical application of this formula has profound implications for option trading and strategy development. Exploiting Earnings Volatility is written in a clear, understandable fashion and explains how to use this novel approach to 1) solve for the expected level of earnings volatility implicitly priced in an option matrix, 2) calculate historical levels of realized and implied earnings volatility, 3) develop strategies to exploit divergences between the two, and 4) calculate expected future levels of implied volatility before and after earnings announcements. Furthermore, Exploiting Earnings Volatility also includes two Excel spreadsheets. The Basic spreadsheet employs minimal input data to estimate current and historical earnings volatility and utilizes those estimates to forecast future levels of implied volatility around earnings announcements. The Integrated spreadsheet includes a comprehensive volatility model that simultaneously integrates and quantifies every component of real-world implied volatility, including earnings volatility. This powerful tool allows the user to identify the precise level of over or undervaluation of every option in the matrix and to accurately forecast future option prices and option strategy profits and losses before and after earnings announcements. The Integrated spreadsheet even includes an optimization tool designed to identify the option strategy with the highest level of return per unit of risk. Written specifically for investors who have familiarity with options, this practical guide begins with a detailed review of volatility and an explanation of the aggregate implied volatility formula. A separate chapter provides a conceptual and mathematical explanation of "True Greeks," accurate measures of risk and return sensitivity that reflect the real-world behavior of options. New option Greeks that are specific to earnings announcements are also introduced. Four chapters explain how to use the Basic and Integrated spreadsheets and two chapters document trade examples that use actual market data and analytical results from both spreadsheets to design a unique option strategy to exploit earnings-related pricing and volatility anomalies. The final chapter examines practical considerations and prospective applications of these innovative new tools. This book introduces a new analytical framework that may sound complicated at first, but is really quite intuitive. The formulas presented in the book are limited to basic high-school algebra. Mathematical relationships are also explained intuitively and depicted graphically. Most important, you will not need to perform any of these calculations manually. Exploiting Earnings Volatility includes a link to Excel spreadsheets that perform all of the calculations described in the book. The unique price and volatility behavior of options before and after discrete earnings announcements is an enigma to most option traders, even to many professionals. The aggregate volatility formula is relatively simple, but it has profound implications. When integrated with a real-world volatility model, it offers unique insights into earnings volatility, price behavior, option strategy construction, and prospective value-added opportunities.
