Correlation Between Automatic Data and GFL ENVIRONM(SUBVTSH

Can any of the company-specific risk be diversified away by investing in both Automatic Data and GFL ENVIRONM(SUBVTSH 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(SUBVTSH 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(SUBVTSH 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(SUBVTSH. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and GFL ENVIRONM(SUBVTSH.

Diversification Opportunities for Automatic Data and GFL ENVIRONM(SUBVTSH

0.94

Correlation Coefficient

Automatic Data  GFL ENVIRONM(SUBVTSH

Almost no diversification

The 3 months correlation between Automatic and GFL is 0.94. 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(SUBVTSH 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(SUBVTSH. 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(SUBVTSH has no effect on the direction of Automatic Data i.e., Automatic Data and GFL ENVIRONM(SUBVTSH go up and down completely randomly.

Pair Corralation between Automatic Data and GFL ENVIRONM(SUBVTSH

Assuming the 90 days horizon Automatic Data Processing is expected to generate 1.13 times more return on investment than GFL ENVIRONM(SUBVTSH. However, Automatic Data is 1.13 times more volatile than GFL ENVIRONM. It trades about -0.05 of its potential returns per unit of risk. GFL ENVIRONM is currently generating about -0.16 per unit of risk. If you would invest  28,719  in Automatic Data Processing on October 4, 2024 and sell it today you would lose (354.00) from holding Automatic Data Processing or give up 1.23% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	100.0%
Values	Daily Returns

Automatic Data Processing  vs.  GFL ENVIRONM

Automatic Data Processing

Risk-Adjusted Performance

11 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Automatic Data may actually be approaching a critical reversion point that can send shares even higher in February 2025.

GFL ENVIRONM(SUBVTSH

Risk-Adjusted Performance

14 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in GFL ENVIRONM are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. Despite nearly uncertain basic indicators, GFL ENVIRONM(SUBVTSH reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Automatic Data and GFL ENVIRONM(SUBVTSH

The main advantage of trading using opposite Automatic Data and GFL ENVIRONM(SUBVTSH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, GFL ENVIRONM(SUBVTSH 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(SUBVTSH will offset losses from the drop in GFL ENVIRONM(SUBVTSH'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 Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.