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Informed Institutional Trading and News Announcements

Author : Guohua Li

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Page : 0 pages

File Size : 19,46 MB

Release : 2009

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This dissertation studies the daily institutional investors trading patterns before and after public news announcements in the US equity market, such as Merger and Acquisition announcement and release of macroeconomic indicators. Do institutional investors have inside information, or do they have superior models before news announcement? Using a high frequency institutional trading dataset that combines intraday NYSE Trades and Quotes (TAQ) data with the quarterly institutional ownership report (13F) by a reduced-form model, this dissertation tests the hypothesis of institutional investors trading on inside information 1993 to 2004. I find that most institutional investors are informed traders who accumulate shares before good news or before takeover announcements as early as 30 days ahead. Institutional investors do not have superior models in that they only buy the actual future targets and sell the forecasted "rumor" stocks from an acquisition probability model. By reversing their positions on and after the announcement day, they realize positive profits. Further, I confirm that the pre-event trading pattern of institutional investors is associated with stocks that have high probability of informed trading.



Informed Trading Behavior of Institutions and Individuals Around Earnings Announcements

Author : Yu-Chen Wei

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Page : pages

File Size : 28,23 MB

Release : 2018

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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.



Individual and Institutional Informed Trading in Competing Firms Around Earnings Announcements

Author : Priyantha Mudalige

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Page : 44 pages

File Size : 26,29 MB

Release : 2016

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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.





Informed Trading Before Positive Vs. Negative Earnings Surprises

Author : Tae Jun Park

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Page : pages

File Size : 40,52 MB

Release : 2014

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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.



Informed Trading Before Positive Vs. Negative Earnings Surprises

Author : Kyojik Song

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Page : 42 pages

File Size : 34,56 MB

Release : 2017

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This paper investigates whether institutional investors trade profitably around earnings announcements. We argue that institutions have informational advantage before negative earnings surprises but not before positive earnings surprises since the positive news tend to leak to market before the event. Using unique Korean data over the period of 2001-2010, we find that trading volume decreases only before the negative event due to information asymmetry among investors. We also find that institutions sell the stock before the negative earnings surprises but individual investors do not anticipate the bad news, and that trade imbalance by the institutions is positively related to the announcement abnormal returns of the negative events. The evidence is consistent with our conjecture that the domestic institutions exploit their superior information around the negative earnings surprises. Our results also show that foreign investors do not have any informational advantage compared to local investors on the upcoming earnings news.



Institutional Stakeholdings and Better-Informed Traders at Earnings Announcements

Author : Ashiq Ali

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Page : 44 pages

File Size : 42,95 MB

Release : 2008

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Utama and Cready (1997) use total institutional ownership to proxy for the proportion of better-informed traders, an important determinant of trading around earnings announcements. We argue that institutions holding small stakes cannot justify the fixed cost of developing private predisclosure information. Also, institutions with large stakes generally do not trade around earnings announcements since they are dedicated investors or face regulations that make informed trading difficult. However, institutions holding medium stakes have incentives to develop private predisclosure information and trade on it; we show that their ownership is a finer proxy for the proportion of better-informed traders at earnings announcements.





Dissecting the Relation Between Insider and Institutional Trading

Author : He Wang

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Page : 113 pages

File Size : 14,55 MB

Release : 2017

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This dissertation consists of two essays. In the first essay, we examined the relation between insider trades and institution demand. The literature documents a strong inverse relation between insider trading and institutional demand, suggesting that institutions provide liquidity for insider trading. Motivated by empirical evidence that there is considerable variation of informativeness among institutions and insiders, this paper further examines the relation between insider trading and institutional trading by classifying insiders as opportunistic vs. routine traders and institutions as short-term vs. long-term investors. We find that the inverse relation between insider trading and institutional demand is mainly driven by long-term institutions. In fact, short-term institutions tend to trade in the same direction as opportunistic insiders whose trades are more informative of future stock price changes. The results are stronger for trades on small cap stocks. Further separating officers and directors vs. other insiders, we show that our findings are driven primarily by trades from opportunistic officers and directors.



A Better Measure of Institutional Informed Trading

Author : Hui Guo

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Page : 57 pages

File Size : 12,97 MB

Release : 2014

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Although many studies show that the presence of institutional investors facilitates the incorporation of accounting information into financial markets, the evidence of informed trading by institutions is rather limited in the extant literature. We address these inconsistent findings by proposing PC_NII, percentage changes in the number of a stock's institutional investors, as a novel informed trading measure. PC_NII is better able to detect informed trading than are changes in institutional ownership (∆IO) -- the measure commonly used in previous studies -- because (1) entries and exits are usually triggered by substantive private information and (2) only a small fraction of institutions have superior information. As conjectured, PC_NII subsumes the information content of ∆IO and other institutional trading and herding measures in the forecast of stock returns, and its strong predictive power for stock returns reflects mainly its close correlation with future earnings surprises. We also show that PC_NII helps address empirical issues that require a reliable measure of institutional informed trading.