SEC Insider Information
Project Leads: Eli Grubbs, Justin Paul
How True Is This?
BOOKMARK SLIDE:
What is the goal of our project
The goal was to see investigate that feeling most people have that insiders make bank trading on insider information, while technicalities save them from jail because “Your Honor, it wasn’t actually insider information”
Project Goals
Investigate the trading behavior of company insiders
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Describe Dataset
Need summary stats of data
QTR 1 2020 SEC Form 4 Filings
Each filing details the CEO’s, 10% Owners, Board of Director Members, or Other applicable people working for company XX, that TRADE the stock of XX. (The people who see the full inner workings of the company).
23,000 filings. Unfortunately, only part of the alphabet, (NO TESLA).
Dataset
Things that make you go hmmmm
–
Cleaning Methods
Non Tabular Data:
Data Transformations had to be done for each specific question. Had to think about how to perform each one
Weird Values:
NA -> “”
393 filings with transaction outside our date range
Example:
The Analysis
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Results
(Insert a lot of slides between this and the next BOOKMARK SLIDE)
Insiders, on average, had much higher 6 month returns than market.
Riley
No Relation Between Amount Transacted and Returns
Correlation Matrix for Amount and 6mo Returns:
6mo Returns vs Amount Acquired:
No correlation between % change in ownership and return
Percent change in ownership is (shares traded) / (shares owned prior)
We wanted to see if trades that significantly increase position means insiders have a strong conviction
Issue with some of the data as a sizable chunk of insider forms are filled out in a consistent manner
Insiders Buy More as Pandemic Hits
(while Market Sells Out)
Transaction Count over Time:
Acquisitions
Dispositions
Acquisition: purchasing stock
Disposition: selling stock
Average 6-month market return rates were uniformly higher during the second time period.
Histogram of the count of unique insiders who achieved a given average return rate, from 31 December 2019 to 26 February 2020, inclusive.
Histogram of the count of unique insiders who achieved a given average return rate, from 27 February 2020 to 31 March 2020, inclusive.
As expected, but this gives us a frame of reference for the next slide
Insider Trades Histogram:
Same Shift As Market Histogram
Histogram of the count of unique insiders who achieved a given average return rate, from 31 December 2019 to 26 February 2020, inclusive.
Histogram of the count of unique insiders who achieved a given average return rate, from 27 February 2020 to 31 March 2020, inclusive.
Insiders understood when to acquire at market dips.
Most Winning
Insiders
Allison Abraham Doesn't Lose
Returns
Date of Transaction
Buying at the market bottom yields the best return
Insiders who bought at the bottom had a better return than the market.
Reconstructing a dollar weighted portfolio of insider trades has a higher return than buying into SPY
Best Overall Performing Insiders
Do Insiders submit more than one form to appear less suspicious?
The number of insiders trading on a given day has peaked:
Graph of the count of unique insiders who made a transaction on a given day, from 31 December 2019 to 26 February 2020, inclusive.
Graph of the count of unique insiders who made a transaction on a given day, from 27 February 2020 to 31 March 2020, inclusive.
Reflection
More/Better Data:
Only 1 Quarter of data. Not enough to draw conclusions. The Data Source did little to validate data.
Jumping In Feet First:
Spent too little time equipping ourselves with the tools we needed, especially dealing with natively non-tabular data
Utilize What We Know:
If we could, the visualizations we made might have turned out better if we knew what we know now
Thank You