Download or read book Who Trades During Earnings Announcements Evidence from Torq Data written by Malay K. Dey and published by . This book was released on 2011 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using TORQ database we investigate the intra-day trading volume reactions to earnings announcements of five trader groups, individuals, institutions, exchange members, program traders, and specialists. The results of this study indicate that institutions are most active in the immediate aftermath of an announcement. Individual investors are slow at the beginning but accumulate heavy volume afterwards and exceed institutional trading volume. We find support for Harris and Raviv (1993) and Admati and Pfleiderer (1988), who respectively argue that divergence of opinion about a public information and portfolio rebalancing cause surges in pre and post-announcement trading volume. Further we find evidence of swift and aggressive trading by informed and sophisticated institutions in the immediate aftermath of the announcement, and delayed, aggressive trading volume quot;overreactionquot; by quot;slowquot; and quot;overconfidentquot; individual investors as documented by Barber and Odean (2000, 2002) and Daniel et al (1998). NYSE specialists provide bulk of the liquidity needs around earnings announcements.
Download or read book The Signal Quality of Earnings Announcements written by Lu Xie and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This study examines the revealed preference of informed traders to infer the extent to which earnings announcements are informative of subsequent stock price responses. From 2011 to 2015, a cartel of sophisticated traders illegally obtained early access to firm press releases prior to publication and traded over 1,000 earnings announcements. I study their constrained profit maximization: which earnings announcements they chose to trade vs. which ones they forwent trading. Consistent with theory, these traders targeted more liquid earnings announcements with larger subsequent stock price movement. Despite earning large profits overall, the informed traders enjoyed only mixed success in identifying the biggest profit opportunities. Controlling for liquidity differences, only 31% of their trades were in the most extreme announcement period return deciles. I model the informed traders' tradeoff between liquidity and expected returns. From this model, I recover an average signal-to-noise ratio of 0.4. I further explore two potential economic sources of this noise: (i) ambiguous market expectations of earnings announcements and (ii) heterogeneous interpretations of earnings information by the marginal investor. Empirically, I document that the informed traders avoided noisier earnings announcements as measured by both sources of noise.
Download or read book Evidence of Informed Trading Prior to Earnings Announcements written by John Affleck-Graves and published by . This book was released on 2014 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study examines transactions in stocks during the thirty trading days prior to earnings announcements. Using two methodologies, we find evidence of informed trading for initiators of large transactions (presumably institutions) but not for initiators of small transactions (presumably individuals). Specifically, we find that, relative to a control period, initiators of large transactions tend to buy (sell) stocks prior to earnings announcements that exceed (fall short of) analyst forecasts. In addition, the fraction of total stock price movement that occurs on large transactions is substantially higher during the pre-announcement period than during the control period. Results of both tests suggest, contrary to previous research, that some large traders have and use superior private information prior to large earnings surprises.
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 Trading on Corporate Earnings News written by John Shon and published by . This book was released on 2011 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Information Content of Earnings Announcements written by Christine X. Jiang and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We study after-hours trading (AHT), price contributions, and price discovery following quarterly earnings announcements released outside of the normal trading hours. For Standard & Poor's (S&P) 500 index stocks from 2004-2008, AHT is heightened on announcement days. A significant portion of the price change and price discovery occurs immediately after the earnings releases. Prices in AHT show a large degree of informational efficiency, further demonstrating the importance of price discovery in AHT. We also provide evidence suggesting that firms prefer after-hours earnings announcements, as trades are mainly from informed traders, and those trades are relied upon to convey information to the general public.
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 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 Winning Investors Over written by Baruch Lev and published by Harvard Business Press. This book was released on 2012 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to dealing with Wall Street in order to boost a company's earnings and stock price features advice for executives on such topics as addressing investors' concerns and maintaining credibility on Wall Street.
Download or read book Informed Trading Before Positive Vs Negative Earnings Surprises written by Tae Jun Park and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper investigates whether institutional investors trade profitably around the announcements of positive or negative earnings surprises. Using Korean data over the period of 2001-2010, we find that information asymmetry is larger before negative earnings surprises (earnings shock) among investors and that the trading volume decreases only before earnings shock announcements due to the severe information asymmetry. We also find that institutions sell their stocks prior to earnings shock announcements whereas individual and foreign investors do not anticipate bad news. Finally, we find that institutional trade imbalance is positively related to the post-announcement abnormal returns of negative events. This study complements and extends prior literature on informed trading around earnings announcements by documenting evidence that domestic institutions exploit their superior information around particularly earnings shock announcements.
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 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 Individual investor trading and return patterns around earnings announcements written by Ron Kaniel and published by . This book was released on 2011 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Early Movers Advantage Evidence from Short Selling During After Hours on Earnings Announcement Days written by Archana Jain and published by . This book was released on 2018 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: We examine short sellers' after-hours trading (AHT) following quarterly earnings announcements released outside of the normal trading hours. Our innovation is to use the actual short trades immediately after the announcements. We find that on these earnings announcement days, there is significant shorting activity in AHT relative to shorting activity both during AHT on non-announcements days as well as during regular trading sessions around announcements. Short sellers who trade after-hours on announcement days earn an excess return of 0.82 percent and 1.40 percent during before-market-open (BMO) and after-market-close sessions (AMC), respectively. The magnitude of these returns increases to 1.48 (3.92) percent for BMO (AMC) earnings announcements with negative surprise. We find that the reactive short selling during AHT has information in predicting future returns. Short-sellers' trades have no predictive power if they wait for the market to open to trade during regular hours. In addition, we find that the weighted price contribution during AHT increases with an increase in after-hours short selling. Overall, our results suggest that short sellers in AHT are informed. Our findings remain robust using alternative holding periods and after controlling for macroeconomic news announcements during BMO sessions.
Download or read book So What Orders Do Informed Traders Use Evidence from Quarterly Earnings Announcements written by Hsiao-Fen Yang and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper examines what orders informed traders use before quarterly earnings announcements. In particular, we investigate whether informed traders prefer median orders and market orders right before quarterly earnings announcements. Quarterly earnings announcements are anticipated events. Because informed traders expect their information advantage will disappear after the announcements, this information event provides a unique opportunity to test whether informed traders become more impatient and use more aggressive orders when the announcement is approaching. Our results show that when the information will be released soon but there is still enough time for the execution (from day -10 to day -6), informed investors use small orders and limit orders to trade stealthily and reduce price risk. Within five days right before the announcements, informed investors trade more aggressively. They start using large market orders to ensure the execution and high profits. Our findings that informed traders change their preference for order type and order size over time shed new light on the ongoing debate on the order submission strategies by informed traders.
Download or read book Individual and Institutional Informed Trading in Competing Firms Around Earnings Announcements written by Priyantha Mudalige and published by . This book was released on 2016 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study investigates individual and institutional trading activities in competing firms to infer informed trading. We find evidence for individual and institutional informed trading in competing firms around earnings announcements. The evidence is stronger prior to announcements than after announcements. Magnitude of institutional (individual) net order flow coefficient decreases (increases) with lag length, suggesting that institutional trading captures information faster than individual trading. Individual net order flow transmit information cross-stock when competitor is a small firm while institutional net order flow conveys information cross-stock irrespective of firm size. Our results will be informative for regulators with regard to insider trading laws and provide insights for market participants on the impact of individual and institutional trading on cross-stock price discovery process.
Download or read book Do Individual Investors Cause Post Earnings Announcement Drift Direct Evidence from Personal Trades written by David A. Hirshleifer and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This study tests whether naiquest;ve trading by individual investors, or some class of individual investors, causes post-earnings announcement drift (PEAD). Inconsistent with the individual trading hypothesis, individual investor trading fails to subsume any of the power of extreme earnings surprises to predict future abnormal returns. Moreover, individuals are significant net buyers after both negative and positive extreme earnings surprises, consistent with an attention effect, but not with their trades causing PEAD. Finally, we find no indication that trading by individuals explains the concentration of drift at subsequent earnings announcement dates.
