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SSRN Electronic Journal
Article . 2018 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.7916/d89...
Other literature type . 2018
Data sources: Datacite
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Former Insiders' Trading

Authors: Johannesson, Erik;

Former Insiders' Trading

Abstract

Using detailed and unique data from Sweden, I show that former insiders trade profitably in the shares of companies with which they used to be affiliated. A trading strategy mimicking former insiders’ trading behavior yields abnormal returns of 7.6% per year. These returns are primarily driven by post-separation purchases rather than by sales. They do not reflect general stock-picking skills: former insiders earn significantly lower abnormal returns when trading in companies with which they have no affiliation. I show that former insiders’ informational advantage diminishes over time, but less so if they have ties to current insiders. The importance of such ties increases in the presence of value-relevant information. My results are consistent with former insiders benefiting from both a retained informational advantage and from inside information obtained post-separation when trading in inside stock.

Country
United States
Keywords

Insider trading in securities, 330, Accounting, Stocks, Business

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green