Correlation Between NYSE Composite and American Woodmark

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

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

Diversification Opportunities for NYSE Composite and American Woodmark

0.2

Correlation Coefficient

NYSE Composite  American Woodmark

Modest diversification

The 3 months correlation between NYSE and American is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and American Woodmark in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Woodmark 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 American Woodmark. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Woodmark has no effect on the direction of NYSE Composite i.e., NYSE Composite and American Woodmark go up and down completely randomly.

Pair Corralation between NYSE Composite and American Woodmark

Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.34 times more return on investment than American Woodmark. However, NYSE Composite is 2.93 times less risky than American Woodmark. It trades about 0.02 of its potential returns per unit of risk. American Woodmark is currently generating about -0.19 per unit of risk. If you would invest  1,907,793  in NYSE Composite on December 30, 2024 and sell it today you would earn a total of  19,237  from holding NYSE Composite or generate 1.01% return on investment over 90 days.

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

NYSE Composite  vs.  American Woodmark

Pair Trading with NYSE Composite and American Woodmark

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

The idea behind NYSE Composite and American Woodmark 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.