Correlation Between Automatic Data and GFL ENVIRONM
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 Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.46% |
Values | Daily Returns |
Automatic Data Processing vs. GFL ENVIRONM
Performance |
Timeline |
Automatic Data Processing |
GFL ENVIRONM |
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.Automatic Data vs. EEDUCATION ALBERT AB | Automatic Data vs. SCANDMEDICAL SOLDK 040 | Automatic Data vs. Siamgas And Petrochemicals | Automatic Data vs. MEDICAL FACILITIES NEW |
GFL ENVIRONM vs. Waste Management | GFL ENVIRONM vs. Republic Services | GFL ENVIRONM vs. Waste Connections | GFL ENVIRONM vs. Veolia Environnement SA |
Check out your portfolio center.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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