The Effect of Short Selling on Market Reactions to Earnings Announcements PDF Download
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Author: Dennis Lasser
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
This paper examines the effect of the inherent demand implied by short interest by observing price reactions to earnings announcements based on the level of short interest. We find that for extreme good- and bad- news events, the inherent demand increases stock prices around the earnings announcement date, with the effect being stronger for good news relative to bad news. Specifically, the initial market reaction to an extreme positive earnings surprise is larger for firms with high levels of short interest. On the other hand, for an extreme negative earnings surprise event, the initial market reaction is smaller for heavily shorted firms. Furthermore, the initial rightward demand curve shift caused by the short sellers' reaction to an extreme good (bad) news event also results in a smaller (larger) post-earnings-announcement drift.
Author: Dennis Lasser
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
This paper examines the effect of the inherent demand implied by short interest by observing price reactions to earnings announcements based on the level of short interest. We find that for extreme good- and bad- news events, the inherent demand increases stock prices around the earnings announcement date, with the effect being stronger for good news relative to bad news. Specifically, the initial market reaction to an extreme positive earnings surprise is larger for firms with high levels of short interest. On the other hand, for an extreme negative earnings surprise event, the initial market reaction is smaller for heavily shorted firms. Furthermore, the initial rightward demand curve shift caused by the short sellers' reaction to an extreme good (bad) news event also results in a smaller (larger) post-earnings-announcement drift.
Author: Lin Zheng
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
In this dissertation I aim at improving the understanding of the informativeness of short-selling in the context of the motivation, the impact on future stock returns, and the relation with market efficiencies. In Chapter 1, I study short sellers' reactions after quarterly earnings announcements as well as the associations between short sales and post announcement stock returns. Short sales increase immediately after both negative and positive earnings surprises. After positive earnings surprises, short sellers appear to act as contrarians, and trade against stock price overreaction, thereby inducing price reversal in the long run. After negative earnings surprises, short sellers act as momentum traders, and trade with post earnings announcement drift. However, they are not able to fully arbitrage away the downside post earnings announcement drift. The short sellers' different reactions at subsequent surprises in a series of same-sign earnings surprises implies that short sellers exploit the consequences of other investors' behavioral biases. The results highlight the motivations and impacts for short sales after earnings announcements. In Chapter 2, I investigate the informativeness of short-selling by combining Probability of Information-based Trading measure and short sales transaction data. Short sales depress stock returns in the short run, regardless of the information asymmetry level. However, short sales can not predict future stock return in the long run if information asymmetry levels are low. Large size short sales are the most informed. When short sales constraints are more binding, short-selling is more informed, especially for the stocks with high information asymmetry levels. In Chapter 3, I examine short sales prior to merger and acquisition announcements for acquiring firms. Short-selling increases prior to stock-financed not cash-financed mergers and acquisitions. Pre-announcement abnormal short-selling is negatively related to post-announcement stock returns. Short sellers are informed of the method of payment, but not the outcome. The results also indicate that short-sellers are more active in stocks with larger firm size, lower book-to-market ratio, and higher liquidity.
Author: Guojun Wang
Publisher:
ISBN:
Category :
Languages : en
Pages : 51
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Book Description
Using the special event of short selling ban removal in the Chinese stock market in March 2010, I study the relationship between short selling activities and future stock returns and the effect of short sale constraints on stock price reactions to earnings announcements. I find strong evidence supporting the Diamond and Verrecchia (1987) hypothesis that an unexpected increase in short interest predicts negative future stock returns. The long-short portfolio that buys stocks with a decline or no change in short interest and shorts stocks with an increase in short interest is able to generate a significant positive return in the following week. The positive return is strongest during the first two days, is most significant in three industries: properties, conglomerates, and industrials, is highest for big firms, growth stocks, and stocks with high short interest. Moreover, I also confirm the Diamond and Verrecchia (1987) prediction that reducing short sale constraints leads to smaller price adjustments on the private information announcement day as the stock price reaction to earnings surprises on earnings announcement day is found to be 70% lower after the short sale ban is removed. However, I don't find evidence supporting their prediction that the reduction in price reaction is larger when negative news is released due to data limitations.
Author: VICTOR L. BERNARD
Publisher:
ISBN:
Category :
Languages : en
Pages : 44
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Book Description
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: Ye Wang
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
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.
Author: Adam V. Reed
Publisher:
ISBN:
Category :
Languages : en
Pages : 48
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Book Description
Author: Lin Zheng
Publisher:
ISBN:
Category :
Languages : en
Pages : 36
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Book Description
Using intraday transactions data including short sales, I study short-selling around quarterly earnings announcements and linkages between short sales and post earnings announcement stock returns. Short sales increase immediately after both negative and positive earnings surprises. Furthermore, patterns in shorting at subsequent surprises in series of same-sign earnings surprises suggest that short sellers exploit the consequences of other investors' behavioral biases. The results highlight motivations for short sales after earnings announcements, and illustrate how short-selling contributes to market efficiency after positive (but not negative) earnings surprises.
Author: R. Christopher Small
Publisher:
ISBN:
Category : Financial statements
Languages : en
Pages : 54
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Book Description
I examine the effect analysts have on the price response to earnings announcements. To address this question, I exploit an exogenous shock to analyst coverage to show that, following the loss of an analyst, the market reaction to earnings announcements decreases. In cross-sectional analyses, I show that the magnitude of the negative effect is decreasing in information asymmetry and the likelihood that a firm’s earnings are used more for contracting purposes. I further show that the magnitude of the negative effect is increasing in the readability of the financial statements and financial reporting comparability. This study contributes to the literature by providing a deeper understanding of the effect analysts have on the pricing of information contained in earnings announcements. As such, the results of this study should be of interest to regulators, researchers, and investors.
Author: Leonard Zacks
Publisher: John Wiley & Sons
ISBN: 1118127765
Category : Business & Economics
Languages : en
Pages : 352
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Book Description
Investment pioneer Len Zacks presents the latest academic research on how to beat the market using equity anomalies The Handbook of Equity Market Anomalies organizes and summarizes research carried out by hundreds of finance and accounting professors over the last twenty years to identify and measure equity market inefficiencies and provides self-directed individual investors with a framework for incorporating the results of this research into their own investment processes. Edited by Len Zacks, CEO of Zacks Investment Research, and written by leading professors who have performed groundbreaking research on specific anomalies, this book succinctly summarizes the most important anomalies that savvy investors have used for decades to beat the market. Some of the anomalies addressed include the accrual anomaly, net stock anomalies, fundamental anomalies, estimate revisions, changes in and levels of broker recommendations, earnings-per-share surprises, insider trading, price momentum and technical analysis, value and size anomalies, and several seasonal anomalies. This reliable resource also provides insights on how to best use the various anomalies in both market neutral and in long investor portfolios. A treasure trove of investment research and wisdom, the book will save you literally thousands of hours by distilling the essence of twenty years of academic research into eleven clear chapters and providing the framework and conviction to develop market-beating strategies. Strips the academic jargon from the research and highlights the actual returns generated by the anomalies, and documented in the academic literature Provides a theoretical framework within which to understand the concepts of risk adjusted returns and market inefficiencies Anomalies are selected by Len Zacks, a pioneer in the field of investing As the founder of Zacks Investment Research, Len Zacks pioneered the concept of the earnings-per-share surprise in 1982 and developed the Zacks Rank, one of the first anomaly-based stock selection tools. Today, his firm manages U.S. equities for individual and institutional investors and provides investment software and investment data to all types of investors. Now, with his new book, he shows you what it takes to build a quant process to outperform an index based on academically documented market inefficiencies and anomalies.
