Correlation Between Microsoft and Gartner

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

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

Diversification Opportunities for Microsoft and Gartner

-0.78

Correlation Coefficient

Microsoft  Gartner

Pay attention - limited upside

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

Pair Corralation between Microsoft and Gartner

Given the investment horizon of 90 days Microsoft is expected to generate 0.71 times more return on investment than Gartner. However, Microsoft is 1.4 times less risky than Gartner. It trades about 0.37 of its potential returns per unit of risk. Gartner is currently generating about -0.29 per unit of risk. If you would invest  43,537  in Microsoft on May 3, 2025 and sell it today you would earn a total of  9,813  from holding Microsoft or generate 22.54% return on investment over 90 days.

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

Microsoft  vs.  Gartner

Microsoft

Risk-Adjusted Performance

Strong

Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 29 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively weak technical and fundamental indicators, Microsoft unveiled solid returns over the last few months and may actually be approaching a breakup point.

Gartner

Risk-Adjusted Performance

Very Weak

Over the last 90 days Gartner has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of inconsistent performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in September 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Pair Trading with Microsoft and Gartner

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

The idea behind Microsoft and Gartner 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 AI Portfolio Prophet module to use AI to generate optimal portfolios and find profitable investment opportunities.