Correlation Between NYSE Composite and AXP Energy

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

Diversification Opportunities for NYSE Composite and AXP Energy

0.56
  Correlation Coefficient

Very weak diversification

The 3 months correlation between NYSE and AXP is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and AXP Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AXP Energy and NYSE Composite 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 NYSE Composite are associated (or correlated) with AXP Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AXP Energy has no effect on the direction of NYSE Composite i.e., NYSE Composite and AXP Energy go up and down completely randomly.
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Pair Corralation between NYSE Composite and AXP Energy

Assuming the 90 days trading horizon NYSE Composite is expected to generate 16.46 times less return on investment than AXP Energy. But when comparing it to its historical volatility, NYSE Composite is 36.66 times less risky than AXP Energy. It trades about 0.42 of its potential returns per unit of risk. AXP Energy is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest  0.06  in AXP Energy on September 1, 2024 and sell it today you would earn a total of  0.03  from holding AXP Energy or generate 50.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy95.45%
ValuesDaily Returns

NYSE Composite  vs.  AXP Energy

 Performance 
       Timeline  

NYSE Composite and AXP Energy Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and AXP Energy

The main advantage of trading using opposite NYSE Composite and AXP Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, AXP Energy 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 AXP Energy will offset losses from the drop in AXP Energy's long position.
The idea behind NYSE Composite and AXP Energy 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.

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