Download or read book Does Trading Volume Increase Or Decrease Prior To Earnings Announcements written by Sangwan Kim and published by . This book was released on 2016 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper reports two empirical regularities regarding trading volume prior to earnings announcements. The literature suggests that discretionary liquidity traders postpone their equity trading until firms publicly announce earnings due to high information asymmetry before anticipated information events. Our first finding is that pre-announcement trading volume increases for firms with high analyst coverage. Our second finding is that preannouncement trading volume decreases for firms with low analyst coverage and trading volume prior to bad news is lower than good news earnings announcements. Our findings suggest that the intensity of analyst activity and the nature of mandatory earnings news jointly determine the direction and magnitude of pre-announcement trading volume. We contribute to the literature by showing that analysts' information discovery (temporarily pushed back trading demand) prior to earnings announcements may understate (overstate) the magnitude of a short-window trading volume reaction to earnings announcements as measures of information content for firms with high (low) analyst coverage.

Download or read book The Changing Nature of Trading Volume Reactions to Earnings Announcements written by Richard A. Schneible Jr. and published by . This book was released on 2008 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: We document a change in the nature of trading volume reactions to quarterly earnings announcements over the time period 1976-2005. Consistent with Landsman and Maydew (2002), we find that the magnitude of abnormal trading volume around quarterly earnings announcements has increased over time and that this increase is greater for large firms than small firms. We show, however, that this trend has reversed the negative relation between firm size and trading volume documented by Bamber (1987). Applying insights from recent trading volume theory, we predict and provide evidence that the increase in abnormal trading volume across time and firm size is due to increases in pre-announcement private information. Specifically, we show that the component of abnormal trading volume associated with price change, which theory suggests reflects pre-announcement private information, is increasing across time and firm size. Our results suggest that investors are motivated to acquire private information prior to earnings announcements about firms that have relatively high quality information environments. Thus, our results have implications for policies aimed at reducing information asymmetry between investors by increasing public disclosure.

Download or read book The Changing Behavior of Trading Volume Reactions to Earnings Announcements written by Orie E. Barron and published by . This book was released on 2016 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increase in investor diversity over the last 35-40 years (ICI 2014) prompted us to revisit trading volume reactions to earnings announcements and how these reactions vary with firm size. This increase in investor diversity would likely lead to an increase in differences in the precision of pre-announcement information and potentially increase the importance of earnings announcements to resolve investor disagreement. We find that the nature of trading volume reactions to earnings announcements has fundamentally changed over the 35-year time period 1977-2011. There has been a dramatic increase in the magnitude and frequency of volume reactions to earnings announcements over this time period, and this effect is more pronounced in large firms where volume reactions were previously infrequent. The increase in large firms' trading volume reactions is so pronounced that the relation between volume reactions and firm size has turned positive in recent years, thereby reversing Bamber's (1986, 1987) previously documented negative relation. We provide intuition and empirical evidence that our results are attributable to the resolution of differential prior precision among an increasingly diverse set of investors following large firms.

Download or read book Business Analysis and Valuation written by Sue Joy Wright and published by . This book was released on 2014 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Analysis and Valuation has been developed specifically for students undertaking accounting Valuation subjects. With a significant number of case studies exploring various issues in this field, including a running chapter example, it offers a practical and in-depth approach. This second edition of the Palepu text has been revitalised with all new Australian content in parts 1-3, making this edition predominantly local, while still retaining a selection of the much admired and rigorous Harvard case studies in part 4. Retaining the same author team, this new edition presents the field of valuation accounting in the Australian context in a clear, logical and thorough manner.

Download or read book An Empirical Analysis of the Effects of Online Trading on Stock Price and Trading Volume Reactions to Earnings Announcements written by Anwer S. Ahmed and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This study provides evidence on the effects of online trading on stock price and trading volume reactions to quarterly earnings announcements. We test for differences in stock price and volume reactions to quarterly earnings announcements between a period with a significant amount of online trading (1996-1999) and a period without online trading (1992-1995). We conjecture that online trading has increased the proportion of naive investors in the market. We predict that this will result in (i) a decrease in the average precision of investor information prior to earnings announcements implying higher ERCs, (ii) an increase in differential interpretation of earnings leading to higher trading volume reactions that are unrelated to price change, and (iii) a decrease in differential prior precision leading to a decrease in the association between trading volume and absolute price change. We find evidence consistent with all three predictions. Our findings are relevant for assessing the validity of concerns about online trading expressed by regulators and the validity of theoretical models of trade with asymmetrically informed investors.

Download or read book Do Earnings Announcements Affect Trading Volume The Role of Speculators written by Ivo Ph Jansen and published by . This book was released on 2015 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study documents that total market volume is almost entirely unrelated to intertemporal variation in the number of earnings announcements. Thus, while individual earnings announcements, on average, significantly impact trading volume (e.g., Beaver, 1968), in aggregate this impact is minimal. We provide evidence that this seeming inconsistency is reconciled by the very large presence of speculators in the market, who trade around information events not for what those say about intrinsic values, but for the short-term price momentum they generate.

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 Expectations and the Structure of Share Prices written by John G. Cragg and published by University of Chicago Press. This book was released on 2009-05-15 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: John G. Cragg and Burton G. Malkiel collected detailed forecasts of professional investors concerning the growth of 175 companies and use this information to examine the impact of such forecasts on the market evaluations of the companies and to test and extend traditional models of how stock market values are determined.

Download or read book Dark Trading Volume at Earnings Announcements written by Xanthi Gkougkousi and published by . This book was released on 2019 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: We examine how abnormal dark market share changes at earnings announcements and find a statistically and economically significant increase in abnormal dark market share in the weeks prior to, during, and following the earnings announcement. The increase in dark market share is larger for firms with a relatively high quality of information environment and a relatively low level of informed trading. These findings are consistent with informed (uninformed) traders facing lower execution (adverse selection) risk in dark venues for firms with a high quality information environment and for firms with low levels of informed trading.

Download or read book The Handbook of Equity Market Anomalies written by Leonard Zacks and published by John Wiley & Sons. This book was released on 2011-08-24 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Advances in Quantitative Analysis of Finance and Accounting New Series Vol 15 written by Cheng F. Lee and published by Center for PBBEFR & Airiti Press. This book was released on 2017-01-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Quantitative Analysis of Finance and Accounting (New Series) is an annual publication designed to disseminate developments in the quantitative analysis of finance and accounting. The publication is a forum for statistical and quantitative analyses of issues in finance and accounting as well as applications of quantitative methods to problems in financial management, financial accounting, and business management. The objective is to promote interaction between academic research in finance and accounting and applied research in the financial community and the accounting profession.

Download or read book BID ASKS AROUND EARNINGS ANNOUNCEMENTS EVIDENCE FROM THE NASDAQ NATIONAL MARKET SYSTEM written by DOUGLAS J. SKINNER and published by . This book was released on 1993 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 An Empirical Analysis of the Effects of Online Trading on Investor Reactions to Earnings Announcements written by Anwer S. Ahmed and published by . This book was released on 2002 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study provides evidence regarding the effects of online trading on stock market reactions to quarterly earnings announcements. We test for differences in stock price and volume reactions to quarterly earnings announcements between a period with a significant amount of online trading (1996-1999) and a period without online trading (1992-1995). We conjecture that online trading has increased the proportion of naive investors in the market. Based on noisy rational expectations models of trade, we predict that this will result in larger stock price and trading volume reactions to earnings announcements. We find strong evidence in support of these predictions. The stock price results suggest that the advent of online trading has decreased average prior precision and the trading volume results suggest that online trading has increased differential belief revisions around earnings announcements. An analysis of the relation between volume reactions and price reactions in both periods suggests that the increase in differential belief revisions is primarily due to an increase in the differential interpretation of earnings announcements in the online trading period. Our findings are relevant for assessing the validity of concerns about online trading expressed by regulators and the validity of theoretical models of trade with asymmetrically informed investors.

Download or read book Timing Information Information Asymmetry and Trading Volume written by Joon Chae and published by . This book was released on 2002 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: Investigating various corporate announcements and abnormal return days, I observe that around 2% of daily trading volume decreases only before scheduled earnings announcements. This empirical pattern is robust across different specifications and periods. Also, proxies of ex ante information asymmetry are consistently related to the trading volume only before scheduled earnings announcements. The timing information existing only in a scheduled announcement seems to have an important role in trading volume dynamics near an announcement. However, the market makers, observing order flows, behave appropriately even without timing information and increase the price sensitivities before all kinds of announcements. These results shed light on the role of a newly observed variable, timing information of an announcement, in investors' trading decision under information asymmetry in the stock market.

Download or read book Trading Volume Around Firm Specific Announcements written by Priyantha Mudalige and published by . This book was released on 2013 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study investigates the impact of timing of the release of firm-specific announcements on trading volume of individual and institutional investors. We use trading data in five-minute intervals to capture the immediate impact of announcements on the trading volume. We find that individual investors exhibit positive and significant abnormal volume prior to, issued capital announcements and after earnings announcements. However, institutions exhibit significant and positive abnormal volume prior to, and after earnings, periodic and issued capital announcements. Notably, both individual and institutional investors do not exhibit significant abnormal volume prior to, and after dividend announcements. Furthermore, individual (institutional) investors' buy (sell) volume is significantly higher than sell (buy) volume prior to, and after scheduled and unscheduled announcements. Our results suggest that timing of the release of firm-specific announcements influences investor trading volume.

Download or read book The Calm Before the Storm written by Ferhat Akbas and published by . This book was released on 2015 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: I provide evidence that stocks experiencing unusually low trading volume over a week prior to earnings announcements have more unfavorable earnings surprises. This effect is more pronounced among stocks with higher short-sale restrictions. Moreover, stocks experiencing extreme negative earnings surprise tend to have a higher decrease in abnormal trading volume prior to the announcement. The findings support the idea that under short-sale restrictions, unusually low trading volume is a signal of unfavorable value-relevant information. Change in visibility or risk-based explanations are insufficient to explain the results. The results provide insights into why unusually low trading volume predicts price declines.