Volatility Spreads And Earnings Announcement Returns PDF Download
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| Author | : Yigit Atilgan |
| Publisher | : |
| Total Pages | : 30 |
| Release | : 2015 |
| Genre | : |
| ISBN | : |
Download Volatility Spreads and Earnings Announcement Returns Book in PDF, ePub and Kindle
Prior research documents that volatility spreads predict stock returns. If the trading activity of informed investors is an important driver of volatility spreads, then the predictability of stock returns should be more pronounced during major information events. This paper investigates whether the predictability of equity returns by volatility spreads is stronger during earnings announcements. Volatility spreads are measured by the implied volatility differences between pairs of strike price and expiration date matched put and call options and capture price pressures in the option market. During a two-day earnings announcement window, the abnormal returns to the quintile that includes stocks with relatively expensive call options is more than 1.5 percent greater than the abnormal returns to the quintile that includes stocks with relatively expensive put options. This result is robust after measuring volatility spreads in alternative ways and controlling for ጿirm characteristics and lagged equity returns. The degree of announcement return predictability is stronger when volatility spreads are measured using more liquid options, the information environment is more asymmetric, and stock liquidity is low.
| Author | : Qin Lei |
| Publisher | : |
| Total Pages | : 43 |
| Release | : 2017 |
| Genre | : |
| ISBN | : |
Download Volatility Spread and the Stock Market Response to Earnings Announcements Book in PDF, ePub and Kindle
Using a broad sample of earnings announcements, we find that option call and put implied volatilities become increasingly misaligned as the earnings announcement dates (EAD) get closer. The percentage deviation between call and put implied volatilities increases monotonically in the one-month period leading up to the EAD. In addition, the direction of these deviations is consistent with the announcement returns of such earnings releases. More importantly, by adapting the earnings response coefficient (ERC) framework, we find that pre-earnings option trading actually increases rather than decreases the stock market response to the earnings announcements. In a cross section of earnings announcements, we find stronger stock market reaction from earnings announcements with greater abnormal implied volatility spread immediately before the EAD. By relating option volume to investor attention, we find higher pre-announcement option volume is associated with increased stock market response. Overall, our findings suggest that pre-earnings option trading helps alleviate the stock market under-reaction to earnings announcements and make the stock market response more complete.
| Author | : Ping Zhou |
| Publisher | : FT Press |
| Total Pages | : 258 |
| Release | : 2012-10-15 |
| Genre | : Business & Economics |
| ISBN | : 0132947404 |
Download Option Strategies for Earnings Announcements Book in PDF, ePub and Kindle
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 | : Chuang-Chang Chang |
| Publisher | : |
| Total Pages | : 45 |
| Release | : 2018 |
| Genre | : |
| ISBN | : |
Download Implied Volatility Spreads and Future Options Returns Around Information Events and Conditions Book in PDF, ePub and Kindle
While numerous prior studies report that call-put implied volatility spreads positively predict future stock returns, recent literature shows that the predictive relation is negative for future call option returns. We investigate whether and, if so, how the predictive relation for options returns is influenced by various information events and conditions. In addition to confirming an opposite predictive relation for both call and put returns, we show that the predictive relation is stronger during periods of earnings announcement and/or high sentiment. In addition, we find that investors learn from informed trading and revise their predictability bias by examining the impacts of information asymmetry, stock liquidity, and options liquidity on the predictive relationships.
| Author | : John Shon |
| Publisher | : FT Press |
| Total Pages | : 225 |
| Release | : 2011-03-09 |
| Genre | : Business & Economics |
| ISBN | : 0132615851 |
Download Trading on Corporate Earnings News Book in PDF, ePub and Kindle
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 | : Monique W.M. Donders |
| Publisher | : |
| Total Pages | : |
| Release | : 2000 |
| Genre | : |
| ISBN | : |
Download Options and Earnings Announcements Book in PDF, ePub and Kindle
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 | : Cameron Truong |
| Publisher | : |
| Total Pages | : 50 |
| Release | : 2015 |
| Genre | : |
| ISBN | : |
Download Earnings Announcement Idiosyncratic Volatility and the Cross-Section of Stock Returns Book in PDF, ePub and Kindle
We document a significant positive relation between earnings announcement idiosyncratic volatility and stock returns in the 10-day window before future earnings announcements. The average of risk-adjusted return differences between stocks with the highest earnings announcement idiosyncratic volatility and stocks with the lowest earnings announcement idiosyncratic volatility exceeds 100 basis points in the 10 days leading up to the earnings announcements. The pricing of earnings announcement idiosyncratic volatility is asymmetric where only idiosyncratic volatility based on positive stock returns is priced. This is consistent with the argument that investors have a preference for stocks with large payoffs during earnings announcements.
| Author | : Sung Gon Chung |
| Publisher | : |
| Total Pages | : 43 |
| Release | : 2016 |
| Genre | : |
| ISBN | : |
Download Earnings Announcements and Option Returns Book in PDF, ePub and Kindle
While prior studies find that returns on option straddles are generally negative, we show that returns on straddles purchased prior to earnings announcements are actually positive. The earnings announcement impact is compounded when the pre-portfolio formation volatility is low (high) and the pre-expiration realized volatility is high (low). Apparently, the average option trader underestimates future volatility before forthcoming earnings announcements, particularly after a period of relatively low volatility, and overestimates future volatility after recent earnings announcements, particularly after a period of relatively high volatility. The overestimation of future volatility after recent earnings announcements also increases with the magnitude of the earnings surprise.
| Author | : Li Ge |
| Publisher | : Open Dissertation Press |
| Total Pages | : |
| Release | : 2017-01-27 |
| Genre | : |
| ISBN | : 9781361379738 |
Download Informational Content of Options Trading on Equity Returns and Corporate Events Book in PDF, ePub and Kindle
This dissertation, "Informational Content of Options Trading on Equity Returns and Corporate Events" by Li, Ge, 葛麗, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: This dissertation consists of three empirical studies about the informational content of options trading on subsequent equity returns and around major corporate events, such as mergers and acquisitions, and bankruptcies. The first chapter examines the informational content of options trading on acquirer announcement returns. I show that implied volatility spread predicts positively on the cumulative abnormal return (CAR), and implied volatility skew predicts negatively on the CAR. The predictability is much stronger around actual merger and acquisition (M&A) announcement days, compared with pseudo-event days. The prediction is weaker if pre-M&A stock price has incorporated part of the information, but stronger if acquirer's options trading is more liquid. Finally, I find that higher relative trading volume of options to stock predicts higher absolute CARs. The relation also exists among the target firms. In the second chapter, I reassess the presence of pre- bankruptcy-filing informed and insider trades by examining the information content of options trading before bankruptcy announcements. I find that bankruptcy filing returns are not significantly related to pre-filing insider stock trading. However, filing returns are significantly negatively related to pre-filing insider and informed options trading. The informational content of options trading reduces with options illiquidity and the amount of information impounded into pre-filing stock prices. In the third chapter, I use data on signed option volume to study which components of option volume predict returns and resolve the apparent inconsistency in the literature. I find no evidence that trades related to synthetic short positions in the underlying stocks contain more information than trades related to synthetic long positions. Purchases of calls that open new positions are the strongest predictor of returns, followed by call sales that close out existing purchased call positions. The signed O/S measures also predict announcement returns for both earnings announcements and unscheduled corporate events. Overall the results indicate that the role of options in providing embedded leverage is the most important channel why options trading predict stock returns. Subjects: Options (Finance)
| Author | : Suresh Govindaraj |
| Publisher | : |
| Total Pages | : 36 |
| Release | : 2014 |
| Genre | : |
| ISBN | : |
Download Using Option Implied Volatilities to Predict Absolute Stock Returns - Evidence from Earnings Announcements and Annual Shareholders' Meetings Book in PDF, ePub and Kindle
We provide evidence that an option implied volatility-based measure predicts future absolute excess returns of the underlying stock around earnings announcements and annual meetings of shareholders, even after controlling for the realized stock return volatility shortly before these information events, and the volatility of excess stock returns around these two events in the past. Our results imply that option traders anticipate the change in uncertainty around these two scheduled events, and also trade on the expected volatility. In addition, we show that net straddle returns (after transaction costs) around earnings announcements and annual meetings of shareholders are significantly and negatively related to the predicted volatility of returns around the events. This suggests that the writers of call and put options expect to be compensated for the predicted volatility. Overall, we find that option traders anticipate and correctly incorporate the volatility induced by the information released in quarterly earnings announcements, and annual meetings of shareholders.
