Correlation Between Cohen Steers and Eaton Vance
Can any of the company-specific risk be diversified away by investing in both Cohen Steers and Eaton Vance 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 Cohen Steers and Eaton Vance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cohen Steers Reit and Eaton Vance Tax, you can compare the effects of market volatilities on Cohen Steers and Eaton Vance 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 Cohen Steers with a short position of Eaton Vance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cohen Steers and Eaton Vance.
Diversification Opportunities for Cohen Steers and Eaton Vance
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Cohen and Eaton is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Cohen Steers Reit and Eaton Vance Tax in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eaton Vance Tax and Cohen Steers 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 Cohen Steers Reit are associated (or correlated) with Eaton Vance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eaton Vance Tax has no effect on the direction of Cohen Steers i.e., Cohen Steers and Eaton Vance go up and down completely randomly.
Pair Corralation between Cohen Steers and Eaton Vance
Considering the 90-day investment horizon Cohen Steers is expected to generate 1.1 times less return on investment than Eaton Vance. In addition to that, Cohen Steers is 1.51 times more volatile than Eaton Vance Tax. It trades about 0.08 of its total potential returns per unit of risk. Eaton Vance Tax is currently generating about 0.13 per unit of volatility. If you would invest 1,017 in Eaton Vance Tax on August 29, 2024 and sell it today you would earn a total of 479.00 from holding Eaton Vance Tax or generate 47.1% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Cohen Steers Reit vs. Eaton Vance Tax
Performance |
| Timeline |
| Cohen Steers Reit |
| Eaton Vance Tax |
Cohen Steers and Eaton Vance Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Cohen Steers and Eaton Vance
The main advantage of trading using opposite Cohen Steers and Eaton Vance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cohen Steers position performs unexpectedly, Eaton Vance 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 Eaton Vance will offset losses from the drop in Eaton Vance's long position.| Cohen Steers vs. Cohen And Steers | Cohen Steers vs. Cohen Steers Total | Cohen Steers vs. Reaves Utility If | Cohen Steers vs. BlackRock Science Tech |
| Eaton Vance vs. Eaton Vance Risk | Eaton Vance vs. Blackrock Muniholdings Closed | Eaton Vance vs. DTF Tax Free | Eaton Vance vs. Eaton Vance Floating |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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