Correlation Between NYSE Composite and Eq Energy

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Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Eq 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 Eq 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 Eq Energy Drink, you can compare the effects of market volatilities on NYSE Composite and Eq 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 Eq Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Eq Energy.

Diversification Opportunities for NYSE Composite and Eq Energy

 0.22 Correlation Coefficient

Modest diversification

The 3 months correlation between NYSE and EQLB is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Eq Energy Drink in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eq Energy Drink 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 Eq Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eq Energy Drink has no effect on the direction of NYSE Composite i.e., NYSE Composite and Eq Energy go up and down completely randomly.

Pair Corralation between NYSE Composite and Eq Energy

Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.03 times more return on investment than Eq Energy. However, NYSE Composite is 32.18 times less risky than Eq Energy. It trades about -0.18 of its potential returns per unit of risk. Eq Energy Drink is currently generating about -0.07 per unit of risk. If you would invest  1,553,589  in NYSE Composite on February 28, 2023 and sell it today you would lose (45,720)  from holding NYSE Composite or give up 2.94% of portfolio value over 90 days.
 Time Period 3 Months [change] Direction Moves Together Strength Very Weak Accuracy 100.0% Values Daily Returns

NYSE Composite  vs.  Eq Energy Drink

 Performance (%)
 Timeline

NYSE Composite and Eq Energy Volatility Contrast

 Predicted Return Density
 Returns

Pair Trading with NYSE Composite and Eq Energy

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

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