Correlation Between Microsoft and Meta Platforms

Specify exactly 2 symbols:
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

0.77
  Correlation Coefficient

Poor diversification

The 3 months correlation between Microsoft and Meta is 0.77. 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 under-perform the Meta Platforms. But the stock apears to be less risky and, when comparing its historical volatility, Microsoft is 1.45 times less risky than Meta Platforms. The stock trades about -0.24 of its potential returns per unit of risk. The Meta Platforms is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest  50,552  in Meta Platforms on January 20, 2024 and sell it today you would lose (372.00) from holding Meta Platforms or give up 0.74% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy95.45%
ValuesDaily Returns

Microsoft  vs.  Meta Platforms

 Performance 
       Timeline  
Microsoft 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable technical and fundamental indicators, Microsoft is not utilizing all of its potentials. The latest stock price uproar, may contribute to short-horizon losses for the private investors.
Meta Platforms 

Risk-Adjusted Performance

12 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Meta Platforms are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. Despite somewhat unfluctuating basic indicators, Meta Platforms sustained solid returns over the last few months and may actually be approaching a breakup point.

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.
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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.

Other Complementary Tools

Odds Of Bankruptcy
Get analysis of equity chance of financial distress in the next 2 years
Analyst Advice
Analyst recommendations and target price estimates broken down by several categories
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Stock Screener
Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
Bond Analysis
Evaluate and analyze corporate bonds as a potential investment for your portfolios.
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Transaction History
View history of all your transactions and understand their impact on performance
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like