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Individual Investor Trading and Return Patterns around Earnings Announcements
by
KANIEL, RON
, LIU, SHUMING
, TITMAN, SHERIDAN
, SAAR, GIDEON
in
Abnormal returns
/ Aggregate data
/ Announcements
/ Contrarian investing
/ Datasets
/ Dividends
/ Earnings
/ Earnings announcements
/ Earnings forecasting
/ Financial information
/ Financial reporting
/ Individuals
/ Investors
/ Liquidity
/ Liquidity risk
/ New York Stock Exchange
/ Price level changes
/ Prices
/ Proxy reporting
/ Securities trading
/ Stock exchanges
/ Stock prices
/ Stock returns
/ Stocks
/ Studies
/ Trade
/ U.S.A
2012
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Individual Investor Trading and Return Patterns around Earnings Announcements
by
KANIEL, RON
, LIU, SHUMING
, TITMAN, SHERIDAN
, SAAR, GIDEON
in
Abnormal returns
/ Aggregate data
/ Announcements
/ Contrarian investing
/ Datasets
/ Dividends
/ Earnings
/ Earnings announcements
/ Earnings forecasting
/ Financial information
/ Financial reporting
/ Individuals
/ Investors
/ Liquidity
/ Liquidity risk
/ New York Stock Exchange
/ Price level changes
/ Prices
/ Proxy reporting
/ Securities trading
/ Stock exchanges
/ Stock prices
/ Stock returns
/ Stocks
/ Studies
/ Trade
/ U.S.A
2012
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Do you wish to request the book?
Individual Investor Trading and Return Patterns around Earnings Announcements
by
KANIEL, RON
, LIU, SHUMING
, TITMAN, SHERIDAN
, SAAR, GIDEON
in
Abnormal returns
/ Aggregate data
/ Announcements
/ Contrarian investing
/ Datasets
/ Dividends
/ Earnings
/ Earnings announcements
/ Earnings forecasting
/ Financial information
/ Financial reporting
/ Individuals
/ Investors
/ Liquidity
/ Liquidity risk
/ New York Stock Exchange
/ Price level changes
/ Prices
/ Proxy reporting
/ Securities trading
/ Stock exchanges
/ Stock prices
/ Stock returns
/ Stocks
/ Studies
/ Trade
/ U.S.A
2012
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Individual Investor Trading and Return Patterns around Earnings Announcements
Journal Article
Individual Investor Trading and Return Patterns around Earnings Announcements
2012
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Overview
This paper provides evidence of informed trading by individual investors around earnings announcements using a unique data set of NYSE stocks. We show that intense aggregate individual investor buying (selling) predicts large positive (negative) abnormal returns on and after earnings announcement dates. We decompose abnormal returns following the event into information and liquidity provision components, and show that about half of the returns can be attributed to private information. We also find that individuals trade in both return-contrarian and news-contrarian manners after earnings announcements. The latter behavior has the potential to slow the adjustment of prices to earnings news.
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