Correlation Between Microsoft and Meta Platforms

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

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

Diversification Opportunities for Microsoft and Meta Platforms

Very poor diversification

The 3 months correlation between Microsoft and Meta is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Meta Platforms in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Meta Platforms 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 Meta Platforms. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Meta Platforms has no effect on the direction of Microsoft i.e., Microsoft and Meta Platforms go up and down completely randomly.

Pair Corralation between Microsoft and Meta Platforms

Given the investment horizon of 90 days Microsoft is expected to generate 0.96 times more return on investment than Meta Platforms. However, Microsoft is 1.05 times less risky than Meta Platforms. It trades about 0.14 of its potential returns per unit of risk. Meta Platforms is currently generating about 0.04 per unit of risk. If you would invest  35,581  in Microsoft on September 7, 2023 and sell it today you would earn a total of  1,299  from holding Microsoft or generate 3.65% return on investment over 90 days.

Microsoft  vs.  Meta Platforms

Microsoft

Microsoft Performance

11 of 100

Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 11 (%) 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.

Meta Platforms

Meta Performance

4 of 100

Compared to the overall equity markets, risk-adjusted returns on investments in Meta Platforms are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite somewhat inconsistent basic indicators, Meta Platforms may actually be approaching a critical reversion point that can send shares even higher in January 2024.

Pair Trading with Microsoft and Meta Platforms

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

The idea behind Microsoft and Meta Platforms 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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.