Correlation Between Salesforce and Microsoft

Can any of the company-specific risk be diversified away by investing in both Salesforce and Microsoft 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 Microsoft into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Salesforce and Microsoft, you can compare the effects of market volatilities on Salesforce and Microsoft 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 Microsoft. Check out your portfolio center. Please also check ongoing floating volatility patterns of Salesforce and Microsoft.

Diversification Opportunities for Salesforce and Microsoft

0.78

Correlation Coefficient

Salesforce  Microsoft

Poor diversification

The 3 months correlation between Salesforce and Microsoft is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Salesforce and Microsoft in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Microsoft 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 Microsoft. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Microsoft has no effect on the direction of Salesforce i.e., Salesforce and Microsoft go up and down completely randomly.

Pair Corralation between Salesforce and Microsoft

Considering the 90-day investment horizon Salesforce is expected to under-perform the Microsoft. In addition to that, Salesforce is 2.1 times more volatile than Microsoft. It trades about -0.23 of its total potential returns per unit of risk. Microsoft is currently generating about -0.04 per unit of volatility. If you would invest  41,732  in Microsoft on January 17, 2024 and sell it today you would lose (368.00) from holding Microsoft or give up 0.88% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

Salesforce  vs.  Microsoft

Salesforce

Risk-Adjusted Performance

1 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Salesforce are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of very healthy basic indicators, Salesforce is not utilizing all of its potentials. The recent stock price disarray, may contribute to short-term losses for the investors.

Microsoft

Risk-Adjusted Performance

6 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain technical and fundamental indicators, Microsoft may actually be approaching a critical reversion point that can send shares even higher in May 2024.

Pair Trading with Salesforce and Microsoft

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

The idea behind Salesforce and Microsoft 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.

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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.