Correlation Between Automatic Data and Salesforce

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

Diversification Opportunities for Automatic Data and Salesforce

0.88
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Automatic and Salesforce is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and salesforce inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on salesforce inc and Automatic 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 Automatic Data Processing are associated (or correlated) with Salesforce. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of salesforce inc has no effect on the direction of Automatic Data i.e., Automatic Data and Salesforce go up and down completely randomly.

Pair Corralation between Automatic Data and Salesforce

Assuming the 90 days trading horizon Automatic Data is expected to generate 1.7 times less return on investment than Salesforce. But when comparing it to its historical volatility, Automatic Data Processing is 1.46 times less risky than Salesforce. It trades about 0.28 of its potential returns per unit of risk. salesforce inc is currently generating about 0.32 of returns per unit of risk over similar time horizon. If you would invest  6,786  in salesforce inc on August 30, 2024 and sell it today you would earn a total of  2,120  from holding salesforce inc or generate 31.24% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Automatic Data Processing  vs.  salesforce inc

 Performance 
       Timeline  
Automatic Data Processing 

Risk-Adjusted Performance

12 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Automatic Data sustained solid returns over the last few months and may actually be approaching a breakup point.
salesforce inc 

Risk-Adjusted Performance

22 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in salesforce inc are ranked lower than 22 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak technical and fundamental indicators, Salesforce sustained solid returns over the last few months and may actually be approaching a breakup point.

Automatic Data and Salesforce Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Automatic Data and Salesforce

The main advantage of trading using opposite Automatic Data and Salesforce positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, Salesforce 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 Salesforce will offset losses from the drop in Salesforce's long position.
The idea behind Automatic Data Processing and salesforce inc 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 Dashboard module to portfolio dashboard that provides centralized access to all your investments.

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