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
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Microsoft and Meta is 0.3. 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 trading horizon Microsoft is expected to under-perform the Meta Platforms. In addition to that, Microsoft is 1.29 times more volatile than Meta Platforms. It trades about -0.04 of its total potential returns per unit of risk. Meta Platforms is currently generating about 0.41 per unit of volatility. If you would invest 59,060 in Meta Platforms on November 9, 2024 and sell it today you would earn a total of 9,170 from holding Meta Platforms or generate 15.53% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| 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.| Microsoft vs. LG Electronics | Microsoft vs. UNIVMUSIC GRPADR050 | Microsoft vs. Electronic Arts | Microsoft vs. Yuexiu Transport Infrastructure |
| Meta Platforms vs. FAST RETAIL ADR | Meta Platforms vs. Alaska Air Group | Meta Platforms vs. JIAHUA STORES | Meta Platforms vs. SPARTAN STORES |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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