Correlation Between DATAGROUP and Check Point

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Can any of the company-specific risk be diversified away by investing in both DATAGROUP and Check Point 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 Check Point into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DATAGROUP SE and Check Point Software, you can compare the effects of market volatilities on DATAGROUP and Check Point 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 Check Point. Check out your portfolio center. Please also check ongoing floating volatility patterns of DATAGROUP and Check Point.

Diversification Opportunities for DATAGROUP and Check Point

0.3
  Correlation Coefficient

Weak diversification

The 3 months correlation between DATAGROUP and Check is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding DATAGROUP SE and Check Point Software in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Check Point Software 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 Check Point. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Check Point Software has no effect on the direction of DATAGROUP i.e., DATAGROUP and Check Point go up and down completely randomly.

Pair Corralation between DATAGROUP and Check Point

Assuming the 90 days trading horizon DATAGROUP is expected to generate 1.08 times less return on investment than Check Point. In addition to that, DATAGROUP is 1.64 times more volatile than Check Point Software. It trades about 0.1 of its total potential returns per unit of risk. Check Point Software is currently generating about 0.17 per unit of volatility. If you would invest  17,350  in Check Point Software on September 24, 2024 and sell it today you would earn a total of  745.00  from holding Check Point Software or generate 4.29% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

DATAGROUP SE  vs.  Check Point Software

 Performance 
       Timeline  
DATAGROUP SE 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in DATAGROUP SE are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile technical indicators, DATAGROUP unveiled solid returns over the last few months and may actually be approaching a breakup point.
Check Point Software 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Check Point Software are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of very healthy basic indicators, Check Point is not utilizing all of its potentials. The newest stock price disarray, may contribute to short-term losses for the investors.

DATAGROUP and Check Point Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DATAGROUP and Check Point

The main advantage of trading using opposite DATAGROUP and Check Point positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DATAGROUP position performs unexpectedly, Check Point 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 Check Point will offset losses from the drop in Check Point's long position.
The idea behind DATAGROUP SE and Check Point Software 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.
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.

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