Correlation Between Ithaca Energy and Dow Jones

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

Diversification Opportunities for Ithaca Energy and Dow Jones

0.0
  Correlation Coefficient

Pay attention - limited upside

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

Assuming the 90 days trading horizon Ithaca Energy PLC is expected to generate 3.09 times more return on investment than Dow Jones. However, Ithaca Energy is 3.09 times more volatile than Dow Jones Industrial. It trades about 0.23 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about -0.04 per unit of risk. If you would invest  10,420  in Ithaca Energy PLC on December 2, 2024 and sell it today you would earn a total of  3,880  from holding Ithaca Energy PLC or generate 37.24% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy98.41%
ValuesDaily Returns

Ithaca Energy PLC  vs.  Dow Jones Industrial

 Performance 
       Timeline  

Ithaca Energy and Dow Jones Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ithaca Energy and Dow Jones

The main advantage of trading using opposite Ithaca Energy and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ithaca Energy position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.
The idea behind Ithaca Energy PLC and Dow Jones Industrial 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.

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