Correlation Between Check Point and Automatic Data

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

Diversification Opportunities for Check Point and Automatic Data

-0.11
  Correlation Coefficient

Good diversification

The 3 months correlation between Check and Automatic is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding Check Point Software and Automatic Data Processing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Automatic Data Processing and Check Point 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 Check Point Software are associated (or correlated) with Automatic Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Automatic Data Processing has no effect on the direction of Check Point i.e., Check Point and Automatic Data go up and down completely randomly.

Pair Corralation between Check Point and Automatic Data

Assuming the 90 days trading horizon Check Point Software is expected to generate 1.26 times more return on investment than Automatic Data. However, Check Point is 1.26 times more volatile than Automatic Data Processing. It trades about 0.07 of its potential returns per unit of risk. Automatic Data Processing is currently generating about 0.07 per unit of risk. If you would invest  12,730  in Check Point Software on September 4, 2024 and sell it today you would earn a total of  4,700  from holding Check Point Software or generate 36.92% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy99.66%
ValuesDaily Returns

Check Point Software  vs.  Automatic Data Processing

 Performance 
       Timeline  
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.
Automatic Data Processing 

Risk-Adjusted Performance

19 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 19 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Automatic Data reported solid returns over the last few months and may actually be approaching a breakup point.

Check Point and Automatic Data Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Check Point and Automatic Data

The main advantage of trading using opposite Check Point and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Check Point position performs unexpectedly, Automatic Data 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 Automatic Data will offset losses from the drop in Automatic Data's long position.
The idea behind Check Point Software and Automatic Data Processing 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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.

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