Correlation Between Computer Sciences and MetLife

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

Diversification Opportunities for Computer Sciences and MetLife

0.0
  Correlation Coefficient

Pay attention - limited upside

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

Pair Corralation between Computer Sciences and MetLife

If you would invest (100.00) in Computer Sciences Corp on January 20, 2024 and sell it today you would earn a total of  100.00  from holding Computer Sciences Corp or generate -100.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

Computer Sciences Corp  vs.  MetLife

 Performance 
       Timeline  
Computer Sciences Corp 

Risk-Adjusted Performance

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Weak
 
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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 newest stock price tumult, may contribute to shorter-term losses for the shareholders.
MetLife 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in MetLife 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, MetLife is not utilizing all of its potentials. The current stock price uproar, may contribute to short-horizon losses for the private investors.

Computer Sciences and MetLife Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Computer Sciences and MetLife

The main advantage of trading using opposite Computer Sciences and MetLife positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Computer Sciences position performs unexpectedly, MetLife 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 MetLife will offset losses from the drop in MetLife's long position.
The idea behind Computer Sciences Corp and MetLife 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

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