Correlation Between Microsoft and ADF

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

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

Diversification Opportunities for Microsoft and ADF

0.69

Correlation Coefficient

Microsoft  ADF

Poor diversification

The 3 months correlation between Microsoft and ADF is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and ADF Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ADF Group 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 ADF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ADF Group has no effect on the direction of Microsoft i.e., Microsoft and ADF go up and down completely randomly.

Pair Corralation between Microsoft and ADF

Given the investment horizon of 90 days Microsoft is expected to generate 1.38 times less return on investment than ADF. But when comparing it to its historical volatility, Microsoft is 6.15 times less risky than ADF. It trades about 0.26 of its potential returns per unit of risk. ADF Group is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest  769.00  in ADF Group on May 11, 2025 and sell it today you would earn a total of  101.00  from holding ADF Group or generate 13.13% return on investment over 90 days.

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

Microsoft  vs.  ADF Group

Microsoft

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 20 (%) 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.

ADF Group

Risk-Adjusted Performance

Soft

Compared to the overall equity markets, risk-adjusted returns on investments in ADF Group are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating basic indicators, ADF displayed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Microsoft and ADF

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

The idea behind Microsoft and ADF Group 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.