Download or read book Earnings News and the Small Trader written by Charles M. C. Lee and published by . This book was released on 1992 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Trading on Corporate Earnings News written by John Shon and published by FT Press. This book was released on 2011-03-09 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Small and Large Trades Around Earnings Announcements written by Devin M. Shanthikumar and published by . This book was released on 2009 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper analyzes trade-initiation by small and large traders for one year following earnings announcements and examines the predictive ability of event-time trading for future returns. With earnings surprises based on a seasonal random walk expectations model, small traders react slightly more weakly than large traders, during the event window, to the first surprise in a series of similar surprises, but more strongly than large traders to the later surprises. With earnings surprises based on analyst forecasts, small traders react more weakly than large traders regardless of the past series. Large traders trade in the direction of the earnings surprise for one month after the earnings announcement, while small traders do not. Starting in month two this switches and small traders trade in the direction of the surprise, while large traders do not. The strength of the small trade event-time reaction is a weak positive predictor of returns in the first month after the announcement and a weak negative predictor of drift after the first month. Large trade reaction is generally a negative predictor of future drift. The collection of evidence points to both small and large trader underreaction to earnings announcements, with small trader underreaction more severe in the first month. In month one, large traders capitalize on drift, but after that small traders seem to correct and possibly overreact.

Download or read book Why Are Earnings Announcements So Important to Traders and Investors written by John Shon and published by Pearson Education. This book was released on 2011-03-16 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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...

Download or read book Investor Trading and the Post Earnings Announcement Drift written by Benjamin C. Ayers and published by . This book was released on 2011 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: We examine whether the two distinct post-earnings-announcement drifts associated with seasonal random walk-based and analyst-based earnings surprises are attributable to the trading activities of distinct sets of investors. We predict and find that small (large) traders continue to trade in the direction of seasonal random walk-based (analyst-based) earnings surprises after earnings announcements. We also find that when small (large) traders react more thoroughly to seasonal random walk- (analyst-) based earnings surprises at the earnings announcements, the respective drift attenuates. Further evidence suggests that delayed small trades associated with random walk-based surprises are consistent with small traders' failure to understand time-series properties of earnings, whereas delayed large trades associated with analyst-based surprises are more consistent with a longer price discovery process. We also find that the analyst-based drift has declined in recent years.

Download or read book Information Dissemination and the Small Trader written by Charles M. C. Lee and published by Ann Arbor, Mich. : University Microfilms International. This book was released on 1990 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Earnings News and the Small Trade written by Charles M. C. Lee and published by . This book was released on 1992 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Investors Trade Size and Trading Responses Around Earnings Announcements written by Neil Bhattacharya and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Prior research suggests that the earnings expectations of a segment of the market can be described by the seasonal random-walk model. Prior research also provides evidence that less wealthy and less informed investors tend to make smaller trades (small traders) than wealthier and better informed investors (large traders).I hypothesize that it is the earnings expectations of small traders that are associated with predictions from the seasonal random-walk model. By directly analyzing the trading activities of small and large traders, this study provides evidence that is largely consistent with the hypotheses.Specifically, small traders' trading response around earnings announcements is increasing in the magnitude of seasonal random-walk forecast errors even after controlling for absolute analyst forecast errors, contemporaneous price changes, and market-wide trading. Supplementary analysis reveals that this effect is largely confined to firms with relatively impoverished information environments (i.e., smaller firms and firms with little to moderate analyst following).

Download or read book Small Trader Reactions to Consecutive Earnings Surprises written by Devin M. Shanthikumar and published by . This book was released on 2009 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: Several analytical models explain post-earnings-announcement drift, momentum and mean-reversion by making assumptions about investor behavior. They posit that investors react more strongly as a series of similar earnings surprises continues. Related literature suggests that behavior should vary systematically with investor sophistication. This paper tests these claims by analyzing whether traders on the NYSE exhibit increasing reactions to a series of similar earnings surprises, and whether their behavior varies with trade size, a proxy for sophistication. Results show that smaller traders exhibit an increasing reaction, with significant increases between the first, second, and third surprise. The pattern is weaker for larger trade-size groups, disappearing for the largest. Controls for prior returns show that small traders generally act as contrarians and large traders as momentum traders, strengthening the results. Future drift is weaker for each subsequent surprise in a series, suggesting that increasing reactions are not attempts to capitalize on increasing returns.

Download or read book The Effect of Earnings Announcements on Trading Outcomes for Different Investor Classes written by James Dale Vincent and published by . This book was released on 2010 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Are Trade Size Based Inferences About Traders Reliable Evidence from Institutional Earnings Related Trading written by William M. Cready and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of observed transaction sizes to differentiate between “small” and “large” investor trading patterns is widespread. A significant concern in such studies is spurious effects attributable to misclassification of transactions, particularly those originating from large investors. Such effects can arise unintentionally, strategically, or endogenously. We examine comprehensive records of a sample of institutional investors (i.e., “large” traders), including their order sizes and overall position changes, to assess the degree to which such misclassifications give rise to spurious inferences about “small” and “large” investor trading activities. Our analysis shows that these institutions are heavily involved in small transaction activity. It also shows that they increase their order sizes substantially in announcement periods relative to nonannouncement periods, presumably as an endogenous response to earnings news. In the immediate earnings announcement period, transaction size-based inferences about directional trading are quite misleading -- producing spurious “small trader” effects and, more surprisingly, erroneous inferences about “large trader” activity.

Download or read book Option Strategies for Earnings Announcements written by Ping Zhou and published by FT Press. This book was released on 2012-10-15 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!

Download or read book The Earnings Announcement Premium and Trading Volume written by Owen A. Lamont and published by . This book was released on 2007 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: On average, stock prices rise around scheduled earnings announcement dates. We show that this earnings announcement premium is large, robust, and strongly related to the fact that volume surges around announcement dates. Stocks with high past announcement period volume earn the highest announcement premium, suggesting some common underlying cause for both volume and the premium. We show that high premium stocks experience the highest levels of imputed small investor buying, suggesting that the premium is driven by buying by small investors when the announcement catches their attention.

Download or read book Individual Investor Trading and Return Patterns Around Earnings Announcements written by and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper documents evidence consistent with informed trading by individual investors around earnings announcements using a unique dataset of NYSE stocks. We show that intense aggregate individual investor buying (selling) predicts large positive (negative) abnormal returns on and after earnings announcement dates. We decompose the abnormal returns into a component that is attributed to risk-averse liquidity provision and a component that is attributed to private information or skill, and show that about half of the abnormal returns in the three months following the event can be attributed to private information. We also examine the behavior of individuals after the earnings announcement and find that they trade in the opposite direction to both pre-event returns (i.e., exhibit "contrarian" behavior) and the earnings surprise (i.e., exhibit "news-contrarian" behavior). The latter behavior, which could be consistent with profit-taking, has the potential to slow down the adjustment of prices to earnings news and contribute to the post-earnings announcement drift.

Download or read book Rethinking Determinants of Trading Volume at Earnings Announcements written by Alina Lerman and published by . This book was released on 2019 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theory offers three main determinants of informationally driven trading volume at earnings announcements: pre-announcement difference in private information precision, belief divergence or differential interpretation, and signal strength. In this paper, we empirically test which theoretical determinants best explain earnings announcement volume conditional on the level of earnings news. We first document that, consistent with signal strength, there is a strong positive (negative) association between volume and both contemporaneous and immediately preceding returns for good (bad) earnings news. Next, we explicitly test the association between volume and various proxies for its three theorized determinants conditional on earnings news. We find that trading volume is highly associated with upward (downward) contemporaneous analyst revisions in the presence of good (bad) earnings news. It is also associated with future earnings surprises, the F-score, and the change in shares shorted, especially for good news firms. Volume is moderately associated with proxies of belief divergence, particularly for bad and neutral news firms. Finally, proxies for pre-announcement difference in private information precision do not appear to significantly explain trading volume for any level of earnings news. Examining financial press data we document an association between abnormal volume and coverage of a multitude of news items. Taken together, our results suggest that trading volume at earnings announcements is more reflective of the quantity and quality of information released, but its dynamics significantly vary with the nature of the disclosed news.

Download or read book Market Microstructure written by Frédéric Abergel and published by John Wiley & Sons. This book was released on 2012-04-03 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest cutting-edge research on market microstructure Based on the December 2010 conference on market microstructure, organized with the help of the Institut Louis Bachelier, this guide brings together the leading thinkers to discuss this important field of modern finance. It provides readers with vital insight on the origin of the well-known anomalous "stylized facts" in financial prices series, namely heavy tails, volatility, and clustering, and illustrates their impact on the organization of markets, execution costs, price impact, organization liquidity in electronic markets, and other issues raised by high-frequency trading. World-class contributors cover topics including analysis of high-frequency data, statistics of high-frequency data, market impact, and optimal trading. This is a must-have guide for practitioners and academics in quantitative finance.

Download or read book Earnings News and Institutional Trading written by Timothy R. Burch and published by . This book was released on 2002 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).