Correlation Between NYSE Composite and Aama Equity
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Aama Equity 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 Aama Equity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Aama Equity Fund, you can compare the effects of market volatilities on NYSE Composite and Aama Equity 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 Aama Equity. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Aama Equity.
Diversification Opportunities for NYSE Composite and Aama Equity
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between NYSE and Aama is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Aama Equity Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aama Equity 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 Aama Equity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aama Equity Fund has no effect on the direction of NYSE Composite i.e., NYSE Composite and Aama Equity go up and down completely randomly.
Pair Corralation between NYSE Composite and Aama Equity
Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Aama Equity. But the index apears to be less risky and, when comparing its historical volatility, NYSE Composite is 1.05 times less risky than Aama Equity. The index trades about -0.05 of its potential returns per unit of risk. The Aama Equity Fund is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 1,969 in Aama Equity Fund on September 17, 2024 and sell it today you would earn a total of 46.00 from holding Aama Equity Fund or generate 2.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 97.67% |
Values | Daily Returns |
NYSE Composite vs. Aama Equity Fund
Performance |
Timeline |
NYSE Composite and Aama Equity Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Aama Equity Fund
Pair trading matchups for Aama Equity
Pair Trading with NYSE Composite and Aama Equity
The main advantage of trading using opposite NYSE Composite and Aama Equity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Aama Equity 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 Aama Equity will offset losses from the drop in Aama Equity's long position.NYSE Composite vs. Stepan Company | NYSE Composite vs. CECO Environmental Corp | NYSE Composite vs. Jeld Wen Holding | NYSE Composite vs. Griffon |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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