Correlation Between Microsoft and MicroSectors FANG

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Can any of the company-specific risk be diversified away by investing in both Microsoft and MicroSectors FANG 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 MicroSectors FANG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and MicroSectors FANG Index, you can compare the effects of market volatilities on Microsoft and MicroSectors FANG 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 MicroSectors FANG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and MicroSectors FANG.

Diversification Opportunities for Microsoft and MicroSectors FANG

-0.7
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Microsoft and MicroSectors is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and MicroSectors FANG Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MicroSectors FANG Index 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 MicroSectors FANG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MicroSectors FANG Index has no effect on the direction of Microsoft i.e., Microsoft and MicroSectors FANG go up and down completely randomly.

Pair Corralation between Microsoft and MicroSectors FANG

Given the investment horizon of 90 days Microsoft is expected to generate 1.11 times less return on investment than MicroSectors FANG. But when comparing it to its historical volatility, Microsoft is 1.71 times less risky than MicroSectors FANG. It trades about 0.36 of its potential returns per unit of risk. MicroSectors FANG Index is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest  39,696  in MicroSectors FANG Index on April 25, 2025 and sell it today you would earn a total of  3,694  from holding MicroSectors FANG Index or generate 9.31% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy30.65%
ValuesDaily Returns

Microsoft  vs.  MicroSectors FANG Index

 Performance 
       Timeline  
Microsoft 

Risk-Adjusted Performance

Strong

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 28 (%) 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.
MicroSectors FANG Index 

Risk-Adjusted Performance

Solid

 
Weak
 
Strong
Over the last 90 days MicroSectors FANG Index has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively conflicting technical and fundamental indicators, MicroSectors FANG unveiled solid returns over the last few months and may actually be approaching a breakup point.

Microsoft and MicroSectors FANG Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Microsoft and MicroSectors FANG

The main advantage of trading using opposite Microsoft and MicroSectors FANG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, MicroSectors FANG 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 MicroSectors FANG will offset losses from the drop in MicroSectors FANG's long position.
The idea behind Microsoft and MicroSectors FANG Index 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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.

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