Correlation Between CI Enhanced and CI Marret
Can any of the company-specific risk be diversified away by investing in both CI Enhanced and CI Marret 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 CI Enhanced and CI Marret into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CI Enhanced Short and CI Marret Alternative, you can compare the effects of market volatilities on CI Enhanced and CI Marret 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 CI Enhanced with a short position of CI Marret. Check out your portfolio center. Please also check ongoing floating volatility patterns of CI Enhanced and CI Marret.
Diversification Opportunities for CI Enhanced and CI Marret
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between FSB and CMAR is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding CI Enhanced Short and CI Marret Alternative in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CI Marret Alternative and CI Enhanced 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 CI Enhanced Short are associated (or correlated) with CI Marret. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CI Marret Alternative has no effect on the direction of CI Enhanced i.e., CI Enhanced and CI Marret go up and down completely randomly.
Pair Corralation between CI Enhanced and CI Marret
Assuming the 90 days trading horizon CI Enhanced Short is expected to under-perform the CI Marret. But the etf apears to be less risky and, when comparing its historical volatility, CI Enhanced Short is 1.55 times less risky than CI Marret. The etf trades about -0.02 of its potential returns per unit of risk. The CI Marret Alternative is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 1,819 in CI Marret Alternative on September 19, 2024 and sell it today you would earn a total of 2.00 from holding CI Marret Alternative or generate 0.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CI Enhanced Short vs. CI Marret Alternative
Performance |
Timeline |
CI Enhanced Short |
CI Marret Alternative |
CI Enhanced and CI Marret Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CI Enhanced and CI Marret
The main advantage of trading using opposite CI Enhanced and CI Marret positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CI Enhanced position performs unexpectedly, CI Marret 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 CI Marret will offset losses from the drop in CI Marret's long position.CI Enhanced vs. PIMCO Global Short | CI Enhanced vs. CIBC Core Plus | CI Enhanced vs. Global X 7 10 | CI Enhanced vs. Mackenzie Global Fixed |
CI Marret vs. CI Munro Alternative | CI Marret vs. CI Lawrence Park | CI Marret vs. CI Enhanced Short | CI Marret vs. CI Enhanced Government |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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