Correlation Between Automatic Data and GFL ENVIRONM

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Can any of the company-specific risk be diversified away by investing in both Automatic Data and GFL ENVIRONM at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Automatic Data and GFL ENVIRONM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Automatic Data Processing and GFL ENVIRONM, you can compare the effects of market volatilities on Automatic Data and GFL ENVIRONM and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Automatic Data with a short position of GFL ENVIRONM. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and GFL ENVIRONM.

Diversification Opportunities for Automatic Data and GFL ENVIRONM

0.91
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Automatic and GFL is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and GFL ENVIRONM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GFL ENVIRONM and Automatic Data is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Automatic Data Processing are associated (or correlated) with GFL ENVIRONM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GFL ENVIRONM has no effect on the direction of Automatic Data i.e., Automatic Data and GFL ENVIRONM go up and down completely randomly.

Pair Corralation between Automatic Data and GFL ENVIRONM

Assuming the 90 days horizon Automatic Data is expected to generate 1.11 times less return on investment than GFL ENVIRONM. But when comparing it to its historical volatility, Automatic Data Processing is 1.64 times less risky than GFL ENVIRONM. It trades about 0.25 of its potential returns per unit of risk. GFL ENVIRONM is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest  3,779  in GFL ENVIRONM on September 4, 2024 and sell it today you would earn a total of  741.00  from holding GFL ENVIRONM or generate 19.61% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy98.46%
ValuesDaily Returns

Automatic Data Processing  vs.  GFL ENVIRONM

 Performance 
       Timeline  
Automatic Data Processing 

Risk-Adjusted Performance

19 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 19 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Automatic Data reported solid returns over the last few months and may actually be approaching a breakup point.
GFL ENVIRONM 

Risk-Adjusted Performance

13 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in GFL ENVIRONM are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, GFL ENVIRONM reported solid returns over the last few months and may actually be approaching a breakup point.

Automatic Data and GFL ENVIRONM Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Automatic Data and GFL ENVIRONM

The main advantage of trading using opposite Automatic Data and GFL ENVIRONM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, GFL ENVIRONM can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in GFL ENVIRONM will offset losses from the drop in GFL ENVIRONM's long position.
The idea behind Automatic Data Processing and GFL ENVIRONM pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.

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