Correlation Between NYSE Composite and Ameresco
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Ameresco 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 Ameresco into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Ameresco, you can compare the effects of market volatilities on NYSE Composite and Ameresco 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 Ameresco. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Ameresco.
Diversification Opportunities for NYSE Composite and Ameresco
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between NYSE and Ameresco is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Ameresco in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ameresco 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 Ameresco. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ameresco has no effect on the direction of NYSE Composite i.e., NYSE Composite and Ameresco go up and down completely randomly.
Pair Corralation between NYSE Composite and Ameresco
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.16 times more return on investment than Ameresco. However, NYSE Composite is 6.26 times less risky than Ameresco. It trades about 0.07 of its potential returns per unit of risk. Ameresco is currently generating about -0.02 per unit of risk. If you would invest 1,605,225 in NYSE Composite on November 2, 2024 and sell it today you would earn a total of 411,397 from holding NYSE Composite or generate 25.63% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
NYSE Composite vs. Ameresco
Performance |
| Timeline |
NYSE Composite and Ameresco Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Ameresco
Pair trading matchups for Ameresco
Pair Trading with NYSE Composite and Ameresco
The main advantage of trading using opposite NYSE Composite and Ameresco positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Ameresco 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 Ameresco will offset losses from the drop in Ameresco's long position.| NYSE Composite vs. Palomar Holdings | NYSE Composite vs. The Peoples Insurance | NYSE Composite vs. Radian Group | NYSE Composite vs. Nascent Wine |
| Ameresco vs. TPI Composites | Ameresco vs. Hannon Armstrong Sustainable | Ameresco vs. Atkore International Group | Ameresco vs. Daqo New Energy |
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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