Correlation Between NYSE Composite and American Growth
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and American 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 American 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 American Growth Fund, you can compare the effects of market volatilities on NYSE Composite and American 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 American Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and American Growth.
Diversification Opportunities for NYSE Composite and American Growth
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between NYSE and American is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and American Growth Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Growth 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 Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Growth has no effect on the direction of NYSE Composite i.e., NYSE Composite and American Growth go up and down completely randomly.
Pair Corralation between NYSE Composite and American Growth
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.19 times more return on investment than American Growth. However, NYSE Composite is 5.23 times less risky than American Growth. It trades about -0.07 of its potential returns per unit of risk. American Growth Fund is currently generating about -0.18 per unit of risk. If you would invest 2,001,587 in NYSE Composite on September 12, 2024 and sell it today you would lose (13,397) from holding NYSE Composite or give up 0.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
NYSE Composite vs. American Growth Fund
Performance |
Timeline |
NYSE Composite and American Growth Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
American Growth Fund
Pair trading matchups for American Growth
Pair Trading with NYSE Composite and American Growth
The main advantage of trading using opposite NYSE Composite and American Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, American 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 American Growth will offset losses from the drop in American Growth's long position.NYSE Composite vs. Teleflex Incorporated | NYSE Composite vs. Victorias Secret Co | NYSE Composite vs. Under Armour C | NYSE Composite vs. Steven Madden |
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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 the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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