Correlation Between NYSE Composite and A3 Alternative

Can any of the company-specific risk be diversified away by investing in both NYSE Composite and A3 Alternative 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 A3 Alternative into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between NYSE Composite and A3 Alternative Credit, you can compare the effects of market volatilities on NYSE Composite and A3 Alternative 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 A3 Alternative. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and A3 Alternative.

Diversification Opportunities for NYSE Composite and A3 Alternative

0.59

Correlation Coefficient

NYSE Composite  A3 Alternative

Very weak diversification

The 3 months correlation between NYSE and AAACX is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and A3 Alternative Credit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on A3 Alternative Credit 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 A3 Alternative. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of A3 Alternative Credit has no effect on the direction of NYSE Composite i.e., NYSE Composite and A3 Alternative go up and down completely randomly.

Pair Corralation between NYSE Composite and A3 Alternative

Assuming the 90 days trading horizon NYSE Composite is expected to generate 4.28 times more return on investment than A3 Alternative. However, NYSE Composite is 4.28 times more volatile than A3 Alternative Credit. It trades about 0.14 of its potential returns per unit of risk. A3 Alternative Credit is currently generating about 0.02 per unit of risk. If you would invest  1,688,952  in NYSE Composite on January 25, 2024 and sell it today you would earn a total of  90,324  from holding NYSE Composite or generate 5.35% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

NYSE Composite  vs.  A3 Alternative Credit

Pair Trading with NYSE Composite and A3 Alternative

The main advantage of trading using opposite NYSE Composite and A3 Alternative positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, A3 Alternative 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 A3 Alternative will offset losses from the drop in A3 Alternative's long position.

The idea behind NYSE Composite and A3 Alternative Credit 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.