Correlation Between SCIENCE IN and Check Point

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

Diversification Opportunities for SCIENCE IN and Check Point

-0.26
  Correlation Coefficient

Very good diversification

The 3 months correlation between SCIENCE and Check is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding SCIENCE IN SPORT 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 SCIENCE IN 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 SCIENCE IN SPORT 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 SCIENCE IN i.e., SCIENCE IN and Check Point go up and down completely randomly.

Pair Corralation between SCIENCE IN and Check Point

Assuming the 90 days horizon SCIENCE IN SPORT is expected to generate 0.95 times more return on investment than Check Point. However, SCIENCE IN SPORT is 1.05 times less risky than Check Point. It trades about 0.09 of its potential returns per unit of risk. Check Point Software is currently generating about 0.03 per unit of risk. If you would invest  27.00  in SCIENCE IN SPORT on September 4, 2024 and sell it today you would earn a total of  3.00  from holding SCIENCE IN SPORT or generate 11.11% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy98.46%
ValuesDaily Returns

SCIENCE IN SPORT  vs.  Check Point Software

 Performance 
       Timeline  
SCIENCE IN SPORT 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in SCIENCE IN SPORT are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite nearly uncertain basic indicators, SCIENCE IN may actually be approaching a critical reversion point that can send shares even higher in January 2025.
Check Point Software 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Check Point Software are ranked lower than 2 (%) 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 latest stock price disarray, may contribute to short-term losses for the investors.

SCIENCE IN and Check Point Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with SCIENCE IN and Check Point

The main advantage of trading using opposite SCIENCE IN and Check Point positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SCIENCE IN 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 SCIENCE IN SPORT 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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.

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