Correlation Between Computer Sciences and Microsoft

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

Diversification Opportunities for Computer Sciences and Microsoft

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between Computer and Microsoft is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Computer Sciences Corp and Microsoft in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Microsoft and Computer Sciences 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 Computer Sciences Corp are associated (or correlated) with Microsoft. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Microsoft has no effect on the direction of Computer Sciences i.e., Computer Sciences and Microsoft go up and down completely randomly.

Pair Corralation between Computer Sciences and Microsoft

If you would invest  25,251  in Microsoft on January 19, 2024 and sell it today you would earn a total of  15,933  from holding Microsoft or generate 63.1% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

Computer Sciences Corp  vs.  Microsoft

 Performance 
       Timeline  
Computer Sciences Corp 

Risk-Adjusted Performance

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Strong
Very Weak
Over the last 90 days Computer Sciences Corp has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, Computer Sciences is not utilizing all of its potentials. The recent stock price tumult, may contribute to shorter-term losses for the shareholders.
Microsoft 

Risk-Adjusted Performance

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Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Microsoft are ranked lower than 4 (%) 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.

Computer Sciences and Microsoft Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Computer Sciences and Microsoft

The main advantage of trading using opposite Computer Sciences and Microsoft positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Computer Sciences position performs unexpectedly, Microsoft 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 Microsoft will offset losses from the drop in Microsoft's long position.
The idea behind Computer Sciences Corp and Microsoft 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.

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