Correlation Between Ab All and NYSE Composite

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

Diversification Opportunities for Ab All and NYSE Composite

0.85
  Correlation Coefficient

Very poor diversification

The 3 months correlation between AMTYX and NYSE is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Ab All Market and NYSE Composite in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NYSE Composite and Ab All 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 Ab All Market are associated (or correlated) with NYSE Composite. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NYSE Composite has no effect on the direction of Ab All i.e., Ab All and NYSE Composite go up and down completely randomly.
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Pair Corralation between Ab All and NYSE Composite

Assuming the 90 days horizon Ab All is expected to generate 4.96 times less return on investment than NYSE Composite. But when comparing it to its historical volatility, Ab All Market is 1.06 times less risky than NYSE Composite. It trades about 0.01 of its potential returns per unit of risk. NYSE Composite is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest  1,490,214  in NYSE Composite on January 31, 2024 and sell it today you would earn a total of  292,893  from holding NYSE Composite or generate 19.65% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Ab All Market  vs.  NYSE Composite

 Performance 
       Timeline  

Ab All and NYSE Composite Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ab All and NYSE Composite

The main advantage of trading using opposite Ab All and NYSE Composite positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ab All position performs unexpectedly, NYSE Composite 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 NYSE Composite will offset losses from the drop in NYSE Composite's long position.
The idea behind Ab All Market and NYSE Composite 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.

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