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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.
Bachelor Thesis from the year 2008 in the subject Business economics - Investment and Finance, grade: 1.1, EBS European Business School gGmbH (Finance), language: English, abstract: Many authors have already studied about stock price reactions after earnings announcements yet, which is because of the importance of earnings announcements, in particular quarterly earnings announcements, for many investors. However, all major studies concerning this topic deal with long-term scenarios, the stock’s price performance is measured for a time period of at least three quarters. Due to the fact that there are many investors, especially institutional investors such as hedge funds that trade stocks much more frequently, the existing studies are not relevant for them. This paper studies stock price reactions around quarterly earnings announcements for companies listed in Deutscher Aktienindex (DAX) or Midcap DAX (MDAX) with respect to changes of the company’s full-year outlook and of earnings surprise regarding analyst consensus forecast within ten days before and after the announcement date. Hence, this paper aims to analyse short-term reaction to quarterly earnings announcements, which are of relevance for all investors, whose investment strategy is, at least partially, focussing on the short-term performance. The main target group of this analysis are therefore hedge funds and investors that run short-term strategies. Due to the fact that the widespread Event Study Methodology is focused on the long-term, it is irrelevant for this analysis.
The period of 2010-2012 was characterized by information uncertainty and market volatility. Information uncertainty is a critical characteristic of financial market behavior. The ability to absorb and distribute information is central to financial market efficiency. Uncertain corporate earnings information causes stock price volatility which in turn impacts stock price equilibrium levels. An event study shows a picture in time of stock price impacts when information isreleased to financial markets. This picture can give indications of the levels of financial market efficiency. This event study focusses on the earnings announcements and investigates financial market efficiency, post earnings announcement drift and the presence of abnormal returns during the assessed period. This study seeks to add to the existing literature of event studies.
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...
It is a well documented finding in finance theory that share prices drift in the direction of firms' unexpected earnings changes, a phenomenom known as post-earnings announcement drift, or earnings momentum. In this book, I study the stock prices' reaction to firms' quarterly earnings announcements. The book shows that the timeframe in which the drift occurs is related to the size of a firm and is limited in time after the earnings announcement. I further analyze the effect of the number of analysts covering a firm on the magnitude and persistance of post-earnings announcement drift. I document that recent analyst coverage predicts large drifts after the earnings announcements. I suggest several possible explanations, but the evidence seems most consistent with recent analyst coverage providing information about investor (or analyst) expectations regarding firm's future earnings. This book should be useful to professionals in Financial Economics, especially to those interested in Behavioral Finance in stock markets, but also to equity analysts, traders or investors interested in the stocks' response to earnings news.
Stock market overreacts to both anticipated and unanticipated stock-specific news. In spite of any firm-specific news, evidences of extreme price changes have been observed in the stock market. Significant abnormal returns are found in the opposite direction indicating the existence of an overreaction effect. It is also found that the magnitude of reversal is inversely proportional to the event-period stock returns. The overreaction effect continues only about two days after the event date for this present sample. Thus, the ultimate understanding of overreaction effects in preparing trading strategies will perk up investors' returns. Changes in beta are found more statistically significant where the most learning is possible, like in the case of more earnings surprise (good or bad news), smaller firms, higher amount of volatility or uncertainty, or announcements that come early rather than late in the announcement season.