Correlation Between DICKER DATA and Check Point

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both DICKER DATA 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 DICKER DATA and Check Point into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DICKER DATA LTD and Check Point Software, you can compare the effects of market volatilities on DICKER DATA 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 DICKER DATA with a short position of Check Point. Check out your portfolio center. Please also check ongoing floating volatility patterns of DICKER DATA and Check Point.

Diversification Opportunities for DICKER DATA and Check Point

0.3
  Correlation Coefficient

Weak diversification

The 3 months correlation between DICKER and Check is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding DICKER DATA LTD 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 DICKER 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 DICKER DATA LTD 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 DICKER DATA i.e., DICKER DATA and Check Point go up and down completely randomly.

Pair Corralation between DICKER DATA and Check Point

Assuming the 90 days horizon DICKER DATA LTD is expected to under-perform the Check Point. In addition to that, DICKER DATA is 1.48 times more volatile than Check Point Software. It trades about -0.03 of its total potential returns per unit of risk. Check Point Software is currently generating about 0.08 per unit of volatility. If you would invest  13,265  in Check Point Software on September 23, 2024 and sell it today you would earn a total of  4,830  from holding Check Point Software or generate 36.41% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

DICKER DATA LTD  vs.  Check Point Software

 Performance 
       Timeline  
DICKER DATA LTD 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days DICKER DATA LTD has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest fragile performance, the Stock's basic indicators remain stable and the current disturbance on Wall Street may also be a sign of long-run gains for the company stockholders.
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 current stock price disarray, may contribute to short-term losses for the investors.

DICKER DATA and Check Point Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with DICKER DATA and Check Point

The main advantage of trading using opposite DICKER DATA and Check Point positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DICKER DATA 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 DICKER DATA LTD 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.

Other Complementary Tools

Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios