Correlation Between Cboe UK and Blue Star

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

Diversification Opportunities for Cboe UK and Blue Star

-0.1
  Correlation Coefficient

Good diversification

The 3 months correlation between Cboe and Blue is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Cboe UK Consumer and Blue Star Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Blue Star Capital and Cboe UK 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 Cboe UK Consumer are associated (or correlated) with Blue Star. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Blue Star Capital has no effect on the direction of Cboe UK i.e., Cboe UK and Blue Star go up and down completely randomly.
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Pair Corralation between Cboe UK and Blue Star

Assuming the 90 days trading horizon Cboe UK is expected to generate 1.15 times less return on investment than Blue Star. But when comparing it to its historical volatility, Cboe UK Consumer is 8.06 times less risky than Blue Star. It trades about 0.25 of its potential returns per unit of risk. Blue Star Capital is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest  2.00  in Blue Star Capital on September 14, 2024 and sell it today you would earn a total of  0.00  from holding Blue Star Capital or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy98.46%
ValuesDaily Returns

Cboe UK Consumer  vs.  Blue Star Capital

 Performance 
       Timeline  

Cboe UK and Blue Star Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Cboe UK and Blue Star

The main advantage of trading using opposite Cboe UK and Blue Star positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cboe UK position performs unexpectedly, Blue Star 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 Blue Star will offset losses from the drop in Blue Star's long position.
The idea behind Cboe UK Consumer and Blue Star Capital 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.

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