Correlation Between Computer Sciences and SentinelOne

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Can any of the company-specific risk be diversified away by investing in both Computer Sciences and SentinelOne 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 SentinelOne 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 SentinelOne, you can compare the effects of market volatilities on Computer Sciences and SentinelOne 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 SentinelOne. Check out your portfolio center. Please also check ongoing floating volatility patterns of Computer Sciences and SentinelOne.

Diversification Opportunities for Computer Sciences and SentinelOne

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  Correlation Coefficient

Pay attention - limited upside

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

Pair Corralation between Computer Sciences and SentinelOne

If you would invest  2,379  in SentinelOne on January 20, 2024 and sell it today you would lose (318.00) from holding SentinelOne or give up 13.37% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.21%
ValuesDaily Returns

Computer Sciences Corp  vs.  SentinelOne

 Performance 
       Timeline  
Computer Sciences Corp 

Risk-Adjusted Performance

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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 current stock price tumult, may contribute to shorter-term losses for the shareholders.
SentinelOne 

Risk-Adjusted Performance

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Weak
 
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Very Weak
Over the last 90 days SentinelOne has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of abnormal performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in May 2024. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Computer Sciences and SentinelOne Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Computer Sciences and SentinelOne

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

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