Correlation Between Salesforce and Agilent Technologies

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

Diversification Opportunities for Salesforce and Agilent Technologies

0.7
  Correlation Coefficient

Poor diversification

The 3 months correlation between Salesforce and Agilent is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Salesforce and Agilent Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agilent Technologies and Salesforce 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 Salesforce are associated (or correlated) with Agilent Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Agilent Technologies has no effect on the direction of Salesforce i.e., Salesforce and Agilent Technologies go up and down completely randomly.

Pair Corralation between Salesforce and Agilent Technologies

Considering the 90-day investment horizon Salesforce is expected to generate 1.05 times more return on investment than Agilent Technologies. However, Salesforce is 1.05 times more volatile than Agilent Technologies. It trades about 0.14 of its potential returns per unit of risk. Agilent Technologies is currently generating about 0.06 per unit of risk. If you would invest  26,280  in Salesforce on December 29, 2023 and sell it today you would earn a total of  3,838  from holding Salesforce or generate 14.6% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Salesforce  vs.  Agilent Technologies

 Performance 
       Timeline  
Salesforce 

Risk-Adjusted Performance

11 of 100

 
Low
 
High
Very Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Salesforce are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating basic indicators, Salesforce displayed solid returns over the last few months and may actually be approaching a breakup point.
Agilent Technologies 

Risk-Adjusted Performance

4 of 100

 
Low
 
High
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Agilent Technologies are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite somewhat strong basic indicators, Agilent Technologies is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Salesforce and Agilent Technologies Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Salesforce and Agilent Technologies

The main advantage of trading using opposite Salesforce and Agilent Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Salesforce position performs unexpectedly, Agilent Technologies 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 Agilent Technologies will offset losses from the drop in Agilent Technologies' long position.
The idea behind Salesforce and Agilent Technologies 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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.

Other Complementary Tools

Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Investing Opportunities
Build portfolios using our predefined set of ideas and optimize them against your investing preferences
Stocks Directory
Find actively traded stocks across global markets
Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum
Portfolio Dashboard
Portfolio dashboard that provides centralized access to all your investments
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance