Correlation Between Salesforce and SBF 120

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Salesforce and SBF 120 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 SBF 120 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Salesforce and SBF 120, you can compare the effects of market volatilities on Salesforce and SBF 120 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 SBF 120. Check out your portfolio center. Please also check ongoing floating volatility patterns of Salesforce and SBF 120.

Diversification Opportunities for Salesforce and SBF 120

-0.58
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Salesforce and SBF is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Salesforce and SBF 120 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SBF 120 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 SBF 120. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SBF 120 has no effect on the direction of Salesforce i.e., Salesforce and SBF 120 go up and down completely randomly.
    Optimize

Pair Corralation between Salesforce and SBF 120

Considering the 90-day investment horizon Salesforce is expected to generate 2.76 times more return on investment than SBF 120. However, Salesforce is 2.76 times more volatile than SBF 120. It trades about 0.04 of its potential returns per unit of risk. SBF 120 is currently generating about -0.05 per unit of risk. If you would invest  30,746  in Salesforce on August 27, 2024 and sell it today you would earn a total of  3,456  from holding Salesforce or generate 11.24% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy99.47%
ValuesDaily Returns

Salesforce  vs.  SBF 120

 Performance 
       Timeline  

Salesforce and SBF 120 Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Salesforce and SBF 120

The main advantage of trading using opposite Salesforce and SBF 120 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Salesforce position performs unexpectedly, SBF 120 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 SBF 120 will offset losses from the drop in SBF 120's long position.
The idea behind Salesforce and SBF 120 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.

Other Complementary Tools

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
Money Managers
Screen money managers from public funds and ETFs managed around the world
Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine
Bond Analysis
Evaluate and analyze corporate bonds as a potential investment for your portfolios.
Financial Widgets
Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets