Download Free V Shaped Disposition Effect Stock Prices And Post Earnings Announcement Drift Book in PDF and EPUB Free Download. You can read online V Shaped Disposition Effect Stock Prices And Post Earnings Announcement Drift and write the review.

We attempt to explain post-earnings announcement drift using the newly documented refinement of the disposition effect, which is the V-shaped net selling propensity (VNSP). Using a novel data set containing stock-level information on the trading activities of different types of investors, we find that both large unrealized capital gains and losses positively predict subsequent stock returns in Korean stock markets. Furthermore, investors' net selling propensity affects investor underreaction to earnings news. Among good news stocks, post-announcement drift is more pronounced when they suffer from stockholders' higher net selling propensity. Specifically, these empirical results hold only when we construct a VNSP based on individual trading activity, which is more prone to behaivoral biases. Interestingly, the classic disposition effect does not induce underreaction to earnings news in our data set.
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.
This study addresses the issue of post-earnings-announcement drift. According to the present theory of how capital markets behave, the drift cannot occur if either the capital asset pricing model (CAPM) or the efficient market hypothesis (EMH) is valid. The drift is a drift away from the CAPM price, which means that CAPM cannot be how the market mechanically determines prices. The drift has been known since at least 1968, which means that an allegedly efficient market knows of the drift, yet does not take the drift into account in setting prices and thereby drive the drift out of existence. The existence of the drift means that the market cannot be completely efficient even within a time frame of three months.This article uses economic modeling to determine the components of the drift, the results of a field study to explain why the drift occurs, and tests of hypotheses to confirm the results of the economic modeling and field study. This article also explains (1) why the size of the drift varies by size of the company, (2) that the market is not efficient, (3) why stock prices tend to rise after a stock split, and (4) some of the incentives for managements to smooth earnings.
I examine the impact of the V-shaped disposition effect, which results in uninformed sales when investors realize large gains and losses. Adverse selection risk is reduced in the presence of more uninformed sales. I show in a model that market makers should post tighter bid-ask spreads and quote prices that are less sensitive to sales. Using stocks with merger and acquisition announcements, which increase the magnitude of investors' unrealized gains or losses and trigger disposition sales in the post-announcement period, I find evidence supporting the predictions.
This paper analyzes the way in which the disposition effect, which is the tendency to realize gains before losses, influences investors' reaction to earnings announcements. The research investigates the impact of this behavioral bias both in the announcement window and in the medium term, using a single sample for both the analyses; the sample covers earnings announcements of US stocks between year 1992 and 2014. I find that those stocks that are in aggregate loss tend to perform better during the announcement window than those that are in aggregate gain, ceteris paribus. In the medium term, this market inefficiency is cancelled out, and those stocks that are in positive capital gain at the moment of the announcement perform better in the following sixty trading days than those trading at a loss; the relative difference in performance generates quarterly alphas of almost 300 basis points. The influence of the disposition effect is also certified by a reversion of this reaction for those earnings announcements that take place during December; due to tax reasons, investors realize losses rather than gains during December, producing then an opposite reaction to earnings announcements. The final proof of the influence of the disposition effect comes from the analysis of volumes: during the announcement window, investors are more prone to trade stocks that are in aggregate gain, generating thus a higher trading volume for these stocks; this effect is reverted during December.
Earlier studies on earnings numbers have discovered a market anomaly which could not be explained by flaws in the applied research design. They claim that stock prices do not incor-porate earnings news immediately, as suggested by the efficient market theory, but tend to drift into the direction of the unexpected earnings after an earnings announcement. In addi-tion, this effect seems to be stronger if investors are distracted by competing announcements at the announcement date. Based on Swiss earnings and stock price data, this paper analyses whether unexpected earnings are followed by cumulative abnormal stock returns. I find post-earnings announcement drift that increases with the magnitude of the earnings surprise. By comparing immediate and delayed market reaction and post-earnings announcement drift on high-news and low-news days, this study examines the effect of investor inattention on post-earnings announcement drift. The findings are consistent with lower immediate market re-sponse and stronger drift when investors are distracted.
This paper tests whether the tendency of investors to sell stocks in their portfolios that have gone up, not down, in value since purchase, known as the disposition effect, induce under-reaction to news, leading to return predictability and a post-announcement price drift. The disposition effect implies that stock prices under-react to bad news when more current holders are facing a capital loss, and under-react to good news when more current holders are facing a capital gain. I use a database of mutual funds holdings to construct a measure of reference prices for individual stocks. Using this new measure of capital gains, I show that post-event predictability is most severe where the disposition effect predicts the biggest under-reaction. Post-event drift is larger when the news and the capital gains overhang have the same sign, and the magnitude of the drift is directly related to the amount of unrealized capital gains (losses) experienced by the stock holders, prior to the event date. An event-driven equity strategy based on this effect yields monthly alphas of over 200 basis points.
The existence of post earnings announcement drift (PEAD) depends strongly on whether stocks' prices are near (far from) their 52-week highs when positive (negative) earnings surprises arrive. We find that the coincidence of these two effects is what generates significant PEAD. Daily returns around current and future earnings announcements follow a similar pattern -- announcement returns are more muted for extreme positive (negative) surprises, the closer (farther) are prices to the 52-week high. In addition, subsequent announcement returns are greater for these firms, consistent with a correction of previous underreaction. This suggests that an important contributing factor to PEAD is investors anchoring their beliefs about fundamental value on the 52-week high, which restrains price reactions to earnings news.
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.