Correlation Between Harvest Equal and CI Marret
Can any of the company-specific risk be diversified away by investing in both Harvest Equal 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 Harvest Equal and CI Marret into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Harvest Equal Weight and CI Marret Alternative, you can compare the effects of market volatilities on Harvest Equal 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 Harvest Equal with a short position of CI Marret. Check out your portfolio center. Please also check ongoing floating volatility patterns of Harvest Equal and CI Marret.
Diversification Opportunities for Harvest Equal and CI Marret
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between Harvest and CMAR is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Harvest Equal Weight 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 Harvest Equal 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 Harvest Equal Weight 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 Harvest Equal i.e., Harvest Equal and CI Marret go up and down completely randomly.
Pair Corralation between Harvest Equal and CI Marret
Assuming the 90 days trading horizon Harvest Equal Weight is expected to generate 2.05 times more return on investment than CI Marret. However, Harvest Equal is 2.05 times more volatile than CI Marret Alternative. It trades about 0.1 of its potential returns per unit of risk. CI Marret Alternative is currently generating about 0.09 per unit of risk. If you would invest 1,521 in Harvest Equal Weight on September 4, 2024 and sell it today you would earn a total of 283.00 from holding Harvest Equal Weight or generate 18.61% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 99.6% |
| Values | Daily Returns |
Harvest Equal Weight vs. CI Marret Alternative
Performance |
| Timeline |
| Harvest Equal Weight |
| CI Marret Alternative |
Harvest Equal and CI Marret Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Harvest Equal and CI Marret
The main advantage of trading using opposite Harvest Equal and CI Marret positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Harvest Equal 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.| Harvest Equal vs. International Zeolite Corp | Harvest Equal vs. European Residential Real | Harvest Equal vs. Financial 15 Split | Harvest Equal vs. Rubicon Organics |
| CI Marret vs. First Asset Energy | CI Marret vs. First Asset Tech | CI Marret vs. Harvest Equal Weight | CI Marret vs. CI Canada Lifeco |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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