DocumentCode :
1824546
Title :
Inside insider trading: Patterns & discoveries from a large scale exploratory analysis
Author :
Tamersoy, Acar ; Bo Xie ; Lenkey, Stephen L. ; Routledge, Bryan R. ; Duen Horng Chau ; Navathe, Shamkant B.
Author_Institution :
Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2013
fDate :
25-28 Aug. 2013
Firstpage :
797
Lastpage :
804
Abstract :
How do company insiders trade? Do their trading behaviors differ based on their roles (e.g., CEO vs. CFO)? Do those behaviors change over time (e.g., impacted by the 2008 market crash)? Can we identify insiders who have similar trading behaviors? And what does that tell us? This work presents the first academic, large-scale exploratory study of insider filings and related data, based on the complete Form 4 fillings from the U.S. Securities and Exchange Commission (SEC). We analyzed 12 million transactions by 370 thousand insiders spanning 1986 to 2012, the largest reported in academia. We explore the temporal and network-centric aspects of the trading behaviors of insiders, and make surprising and counter-intuitive discoveries. We study how the trading behaviors of insiders differ based on their roles in their companies, the transaction types, the company sectors, and their relationships with other insiders. Our work raises exciting research questions and opens up many opportunities for future studies. Most importantly, we believe our work could form the basis of novel tools for financial regulators and policymakers to detect illegal insider trading, help them understand the dynamics of the trades and enable them to adapt their detection strategies towards these dynamics.
Keywords :
data analysis; financial data processing; stock markets; SEC; Securities and Exchange Commission; counter-intuitive discoveries; financial regulators; illegal insider trading detection; insider filings; insider trading behaviors; large scale exploratory analysis; Companies; Conferences; Data mining; Educational institutions; Regulators; Security; Social network services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
Conference_Location :
Niagara Falls, ON
Type :
conf
Filename :
6785794
Link To Document :
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