Tests for Predicting Stock Price Reactions to Earnings Surprises PDF Download

Author: Rabih Ali Moussawi
Publisher:
ISBN:
Category :
Languages : en
Pages : 280

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Author: Jeffery S. Abarbanell
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
Several influential studies have concluded that earnings surprises just to the right or to the left of a hypothesized bright line produce distinct price reactions compared to the surrounding earnings surprises because they convey special meaning. In this study, we examine whether previous inferences of asymmetric stock price reactions to bright-line surprises are observed when empirical tests are designed to be consistent with a rational expectations equilibrium. Focusing on a small range of earnings surprises around hypothesized bright lines, we find no evidence of asymmetric price reactions once investors' ex ante expectation of bias in earnings surprises is controlled. Results from additional tests yield support for the external validity of the theoretical framework underlying our bright-line pricing tests. Our findings suggest simple refinements to traditional bins-comparison and regression tests for asymmetric price reactions to bright-line earnings surprises, which account for necessary conditions implied by a rational expectations equilibrium.

Author: John Shon
Publisher: FT Press
ISBN: 0132615851
Category : Business & Economics
Languages : en
Pages : 225

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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.

Author: Sahar Parsa
Publisher:
ISBN:
Category :
Languages : en
Pages : 58

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Book Description
I study how investor horizons affect the price reaction of the stocks to earnings announcements. In the theory, short-run investors trade frequently, while long-run traders hold and trade on fundamentals. The model predicts that the reaction to an earnings announcement is shifted downward for stocks held short-term relative to those held long-term: a positive earnings surprise is less of a positive; a negative surprise is a larger negative. I test this prediction. I find that the reaction to earnings for ``short-term securities'' is dominated by the corresponding reaction for 'long-term securities.' The discrepancy persists over 75 days. These results are independent of security characteristics; they are robust to controls that capture various aspects of growth or value stocks.

Author: Myung Chul Chung
Publisher:
ISBN:
Category : Stock price forecasting
Languages : en
Pages : 316

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Author: Devin M. Shanthikumar
Publisher:
ISBN:
Category :
Languages : en
Pages : 40

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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.

Author: Jedediah Baker
Publisher:
ISBN:
Category :
Languages : en
Pages : 10

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This paper examines the predictability of price and volume movements using Google Insights on equities exhibiting earnings surprise and the association with pre-announcement information searching. The motivation for this paper is to answer two primary research questions. First of all, using more recent stocks earnings surprise, is Google search data a good indicator of investor interest prior to the earnings announcement? Second does the Google data add to the predictability of post earnings volume and pricing direction? Data on earnings surprise were taken from Yahoo Finance and Google search volume data were taken from the Google trends website. While the results found in the analyses above are not highly convincing regarding Google trends data and price movement from earnings surprise, the results on the volume models yielded promising (i.e. significant) results. Moreover, Mean Absolute Error was reduced by approximately 8% when incorporating the Google trends data on volume predictions.

Author: Jennifer Francis
Publisher: Now Publishers Inc
ISBN: 1601981147
Category : Business & Economics
Languages : en
Pages : 97

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Book Description
This review lays out a research perspective on earnings quality. We provide an overview of alternative definitions and measures of earnings quality and a discussion of research design choices encountered in earnings quality research. Throughout, we focus on a capital markets setting, as opposed, for example, to a contracting or stewardship setting. Our reason for this choice stems from the view that the capital market uses of accounting information are fundamental, in the sense of providing a basis for other uses, such as stewardship. Because resource allocations are ex ante decisions while contracting/stewardship assessments are ex post evaluations of outcomes, evidence on whether, how and to what degree earnings quality influences capital market resource allocation decisions is fundamental to understanding why and how accounting matters to investors and others, including those charged with stewardship responsibilities. Demonstrating a link between earnings quality and, for example, the costs of equity and debt capital implies a basic economic role in capital allocation decisions for accounting information; this role has only recently been documented in the accounting literature. We focus on how the precision of financial information in capturing one or more underlying valuation-relevant constructs affects the assessment and use of that information by capital market participants. We emphasize that the choice of constructs to be measured is typically contextual. Our main focus is on the precision of earnings, which we view as a summary indicator of the overall quality of financial reporting. Our intent in discussing research that evaluates the capital market effects of earnings quality is both to stimulate further research in this area and to encourage research on related topics, including, for example, the role of earnings quality in contracting and stewardship.

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.

Author: Frédéric Abergel
Publisher: John Wiley & Sons
ISBN: 1119952786
Category : Business & Economics
Languages : en
Pages : 194

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Book Description
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.