Chasing private information

Using over 5,000 trades unequivocally based on nonpublic information about firm fundamentals, we find that asymmetric information proxies display abnormal values on days with informed trading. Volatility and volume are abnormally high, whereas illiquidity is low, in equity and option markets. Daily...

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Main Authors: KACPERCZYK, Marcin, PAGNOTTA, Emiliano Sebastian
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
SEC
Online Access:https://ink.library.smu.edu.sg/lkcsb_research/7027
https://ink.library.smu.edu.sg/context/lkcsb_research/article/8026/viewcontent/Chasing_Private_Information_av.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.lkcsb_research-80262022-06-15T06:26:08Z Chasing private information KACPERCZYK, Marcin PAGNOTTA, Emiliano Sebastian Using over 5,000 trades unequivocally based on nonpublic information about firm fundamentals, we find that asymmetric information proxies display abnormal values on days with informed trading. Volatility and volume are abnormally high, whereas illiquidity is low, in equity and option markets. Daily returns reflect the sign of private signals, but bid-ask spreads are lower when informed investors trade. Market makers' learning under event uncertainty and limit orders help explain these findings. The cross-section of information duration indicates that traders select days with high uninformed volume. Evidence from the U.S. SEC Whistleblower Reward Program and the FINRA involvement addresses selection concerns. 2019-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/7027 info:doi/10.1093/rfs/hhz029 https://ink.library.smu.edu.sg/context/lkcsb_research/article/8026/viewcontent/Chasing_Private_Information_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Private information information signals adverse selection proxies insider trading trading strategies liquidity asset prices abnormal volume stock markets option markets volatility SEC Finance and Financial Management Portfolio and Security Analysis
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Private information
information signals
adverse selection proxies
insider trading
trading strategies
liquidity
asset prices
abnormal volume
stock markets
option markets
volatility
SEC
Finance and Financial Management
Portfolio and Security Analysis
spellingShingle Private information
information signals
adverse selection proxies
insider trading
trading strategies
liquidity
asset prices
abnormal volume
stock markets
option markets
volatility
SEC
Finance and Financial Management
Portfolio and Security Analysis
KACPERCZYK, Marcin
PAGNOTTA, Emiliano Sebastian
Chasing private information
description Using over 5,000 trades unequivocally based on nonpublic information about firm fundamentals, we find that asymmetric information proxies display abnormal values on days with informed trading. Volatility and volume are abnormally high, whereas illiquidity is low, in equity and option markets. Daily returns reflect the sign of private signals, but bid-ask spreads are lower when informed investors trade. Market makers' learning under event uncertainty and limit orders help explain these findings. The cross-section of information duration indicates that traders select days with high uninformed volume. Evidence from the U.S. SEC Whistleblower Reward Program and the FINRA involvement addresses selection concerns.
format text
author KACPERCZYK, Marcin
PAGNOTTA, Emiliano Sebastian
author_facet KACPERCZYK, Marcin
PAGNOTTA, Emiliano Sebastian
author_sort KACPERCZYK, Marcin
title Chasing private information
title_short Chasing private information
title_full Chasing private information
title_fullStr Chasing private information
title_full_unstemmed Chasing private information
title_sort chasing private information
publisher Institutional Knowledge at Singapore Management University
publishDate 2019
url https://ink.library.smu.edu.sg/lkcsb_research/7027
https://ink.library.smu.edu.sg/context/lkcsb_research/article/8026/viewcontent/Chasing_Private_Information_av.pdf
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