Correlation Between NYSE Composite and Ab Growth

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

Diversification Opportunities for NYSE Composite and Ab Growth

0.62
  Correlation Coefficient

Poor diversification

The 3 months correlation between NYSE and AGRCX is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Ab Growth Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ab Growth Fund 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 Ab Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ab Growth Fund has no effect on the direction of NYSE Composite i.e., NYSE Composite and Ab Growth go up and down completely randomly.
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Pair Corralation between NYSE Composite and Ab Growth

Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.21 times more return on investment than Ab Growth. However, NYSE Composite is 4.78 times less risky than Ab Growth. It trades about 0.06 of its potential returns per unit of risk. Ab Growth Fund is currently generating about -0.02 per unit of risk. If you would invest  1,588,009  in NYSE Composite on October 12, 2024 and sell it today you would earn a total of  336,065  from holding NYSE Composite or generate 21.16% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

NYSE Composite  vs.  Ab Growth Fund

 Performance 
       Timeline  

NYSE Composite and Ab Growth Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and Ab Growth

The main advantage of trading using opposite NYSE Composite and Ab Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Ab Growth 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 Ab Growth will offset losses from the drop in Ab Growth's long position.
The idea behind NYSE Composite and Ab Growth Fund 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.

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