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Author: Brian Roseman
Publisher:
ISBN:
Category :
Languages : en
Pages : 47
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Book Description
Using a sample of NASDAQ firms we investigate informed trading in the limit order book (LOB) prior to earnings announcements. Consistent with recent limit order theory, and in contrast to classic adverse selection models, we show that informed traders supply liquidity. Relative to a sample of low-shock announcements as a control, we find that for high-shock firms, the spread is lower, the correlation of bid and ask depth is higher, the implied cost of trading is lower, and the information share of component of the limit order book is higher, relative to low-shock earnings announcements.
Author: Brian Roseman
Publisher:
ISBN:
Category :
Languages : en
Pages : 47
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Book Description
Using a sample of NASDAQ firms we investigate informed trading in the limit order book (LOB) prior to earnings announcements. Consistent with recent limit order theory, and in contrast to classic adverse selection models, we show that informed traders supply liquidity. Relative to a sample of low-shock announcements as a control, we find that for high-shock firms, the spread is lower, the correlation of bid and ask depth is higher, the implied cost of trading is lower, and the information share of component of the limit order book is higher, relative to low-shock earnings announcements.
Author: Yu-Chen Wei
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
This study constructs the institutional- and individual-based probability of informed trading (PIN) by adjusting Easley, Hvidkjaer and O'Hara (2002) and investigates the impact of the informed trading behaviors of institutions and individuals on the post-announcement drift around the earnings announcement. The differences between this study and the previous literatures lie in that the investor types of informed traders are distinguished as institutions and individuals. Besides, the trading date effect is considered to examine the informed trading behaviors. The findings show that the informed trading behaviors of institutions and individuals can be distinguished. If there are informed traders involves in the stocks, the cumulative abnormal returns after the earnings announcement may be higher than the other stocks with no informed traders. Some individuals may possess relevant information that may prompt them to trade prior to or after the earnings announcement. The findings of the study may contribute to the government regulations and portfolio selections.
Author: Justin Cox
Publisher:
ISBN:
Category :
Languages : en
Pages : 33
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Book Description
This study examines the effects of dark and lit market fragmentation around both earnings announcements and earnings surprises. I find that both dark and lit market fragmentation increase around earnings announcements. I further test whether dark and lit fragmentation hinders the level of price discovery around the earnings announcement, resulting in greater post-earnings announcement drift, PEAD. My analysis reveals that lit fragmentation has no significant impact on PEAD while dark fragmentation reduces the level of PEAD for stocks with positive earnings surprises consistent with the notion that dark venues capture more uninformed trading around positive news events, resulting in greater informed trading and higher informational efficiency on the lit venue. However, my results also indicate that dark fragmentation leads to stronger PEAD for stocks with negative earnings surprises. This last finding suggests that informed traders migrate to dark venues around negative earnings surprise, consistent with previous literature that argues informed traders follow passive trading strategies around negative news events.
Author: Priyantha Mudalige
Publisher:
ISBN:
Category :
Languages : en
Pages : 44
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Book Description
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.
Author: Lu Xie
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
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.
Author: John Affleck-Graves
Publisher:
ISBN:
Category :
Languages : en
Pages : 22
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Book Description
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.
Author: Tae Jun Park
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
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.
Author: James Dale Vincent
Publisher:
ISBN:
Category :
Languages : en
Pages : 65
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Book Description
Author: John Shon
Publisher: FT Press
ISBN: 0132615851
Category : Business & Economics
Languages : en
Pages : 225
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Book Description
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: Ron Kaniel
Publisher:
ISBN:
Category : Corporate profits
Languages : en
Pages : 53
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Book Description
