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
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Microsoft and Meta is 0.65. 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
Assuming the 90 days horizon Microsoft is expected to generate 1.59 times less return on investment than Meta Platforms. But when comparing it to its historical volatility, Microsoft is 1.09 times less risky than Meta Platforms. It trades about 0.12 of its potential returns per unit of risk. Meta Platforms is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 46,311 in Meta Platforms on August 28, 2024 and sell it today you would earn a total of 8,449 from holding Meta Platforms or generate 18.24% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Microsoft vs. Meta Platforms
Performance |
| Timeline |
| Microsoft |
| Meta Platforms |
Microsoft and Meta Platforms Volatility Contrast
Predicted Return Density |
| Returns |
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.| Meta Platforms vs. ARISTOCRAT LEISURE | Meta Platforms vs. PLAYSTUDIOS A DL 0001 | Meta Platforms vs. FLOW TRADERS LTD | Meta Platforms vs. FAST RETAIL ADR |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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