Correlation Between DATAGROUP and GFL ENVIRONM(SUBVTSH

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Can any of the company-specific risk be diversified away by investing in both DATAGROUP 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 DATAGROUP 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 DATAGROUP SE and GFL ENVIRONM, you can compare the effects of market volatilities on DATAGROUP 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 DATAGROUP with a short position of GFL ENVIRONM(SUBVTSH. Check out your portfolio center. Please also check ongoing floating volatility patterns of DATAGROUP and GFL ENVIRONM(SUBVTSH.

Diversification Opportunities for DATAGROUP and GFL ENVIRONM(SUBVTSH

0.48
  Correlation Coefficient

Very weak diversification

The 3 months correlation between DATAGROUP and GFL is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding DATAGROUP SE and GFL ENVIRONM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GFL ENVIRONM(SUBVTSH and DATAGROUP 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 DATAGROUP SE 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 DATAGROUP i.e., DATAGROUP and GFL ENVIRONM(SUBVTSH go up and down completely randomly.

Pair Corralation between DATAGROUP and GFL ENVIRONM(SUBVTSH

Assuming the 90 days trading horizon DATAGROUP SE is expected to generate 1.79 times more return on investment than GFL ENVIRONM(SUBVTSH. However, DATAGROUP is 1.79 times more volatile than GFL ENVIRONM. It trades about 0.03 of its potential returns per unit of risk. GFL ENVIRONM is currently generating about -0.16 per unit of risk. If you would invest  4,650  in DATAGROUP SE on October 4, 2024 and sell it today you would earn a total of  30.00  from holding DATAGROUP SE or generate 0.65% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

DATAGROUP SE  vs.  GFL ENVIRONM

 Performance 
       Timeline  
DATAGROUP SE 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in DATAGROUP SE are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile technical indicators, DATAGROUP 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

 
Weak
 
Strong
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.

DATAGROUP and GFL ENVIRONM(SUBVTSH Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DATAGROUP and GFL ENVIRONM(SUBVTSH

The main advantage of trading using opposite DATAGROUP and GFL ENVIRONM(SUBVTSH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DATAGROUP 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 DATAGROUP SE 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 CEOs Directory module to screen CEOs from public companies around the world.

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