Correlation Between Oracle and Red Hat

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

Diversification Opportunities for Oracle and Red Hat

0.0
  Correlation Coefficient

Pay attention - limited upside

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

Pair Corralation between Oracle and Red Hat

If you would invest  7,022  in Oracle on January 26, 2024 and sell it today you would earn a total of  4,512  from holding Oracle or generate 64.26% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

Oracle  vs.  Red Hat

 Performance 
       Timeline  
Oracle 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Oracle are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. Despite quite persistent fundamental indicators, Oracle is not utilizing all of its potentials. The latest stock price mess, may contribute to short-term losses for the institutional investors.
Red Hat 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Red Hat has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable technical indicators, Red Hat is not utilizing all of its potentials. The latest stock price uproar, may contribute to short-horizon losses for the private investors.

Oracle and Red Hat Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Oracle and Red Hat

The main advantage of trading using opposite Oracle and Red Hat positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oracle position performs unexpectedly, Red Hat 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 Red Hat will offset losses from the drop in Red Hat's long position.
The idea behind Oracle and Red Hat 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 Global Correlations module to find global opportunities by holding instruments from different markets.

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