Correlation Between Baker Steel and Cboe UK

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

Diversification Opportunities for Baker Steel and Cboe UK

0.88
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Baker and Cboe is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Baker Steel Resources and Cboe UK Consumer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cboe UK Consumer and Baker Steel 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 Baker Steel Resources are associated (or correlated) with Cboe UK. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cboe UK Consumer has no effect on the direction of Baker Steel i.e., Baker Steel and Cboe UK go up and down completely randomly.
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Pair Corralation between Baker Steel and Cboe UK

Assuming the 90 days trading horizon Baker Steel Resources is expected to generate 2.1 times more return on investment than Cboe UK. However, Baker Steel is 2.1 times more volatile than Cboe UK Consumer. It trades about 0.11 of its potential returns per unit of risk. Cboe UK Consumer is currently generating about 0.22 per unit of risk. If you would invest  5,100  in Baker Steel Resources on September 17, 2024 and sell it today you would earn a total of  700.00  from holding Baker Steel Resources or generate 13.73% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Baker Steel Resources  vs.  Cboe UK Consumer

 Performance 
       Timeline  

Baker Steel and Cboe UK Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Baker Steel and Cboe UK

The main advantage of trading using opposite Baker Steel and Cboe UK positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Baker Steel position performs unexpectedly, Cboe UK 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 Cboe UK will offset losses from the drop in Cboe UK's long position.
The idea behind Baker Steel Resources and Cboe UK Consumer 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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..

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