Correlation Between Harvest Premium and Harvest Equal
Can any of the company-specific risk be diversified away by investing in both Harvest Premium and Harvest Equal 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 Premium and Harvest Equal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Harvest Premium Yield and Harvest Equal Weight, you can compare the effects of market volatilities on Harvest Premium and Harvest Equal 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 Premium with a short position of Harvest Equal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Harvest Premium and Harvest Equal.
Diversification Opportunities for Harvest Premium and Harvest Equal
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Harvest and Harvest is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Harvest Premium Yield and Harvest Equal Weight in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Harvest Equal Weight and Harvest Premium 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 Premium Yield are associated (or correlated) with Harvest Equal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Harvest Equal Weight has no effect on the direction of Harvest Premium i.e., Harvest Premium and Harvest Equal go up and down completely randomly.
Pair Corralation between Harvest Premium and Harvest Equal
Assuming the 90 days trading horizon Harvest Premium is expected to generate 9.28 times less return on investment than Harvest Equal. In addition to that, Harvest Premium is 1.47 times more volatile than Harvest Equal Weight. It trades about 0.02 of its total potential returns per unit of risk. Harvest Equal Weight is currently generating about 0.29 per unit of volatility. If you would invest 1,750 in Harvest Equal Weight on September 1, 2024 and sell it today you would earn a total of 79.00 from holding Harvest Equal Weight or generate 4.51% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 95.65% |
| Values | Daily Returns |
Harvest Premium Yield vs. Harvest Equal Weight
Performance |
| Timeline |
| Harvest Premium Yield |
| Harvest Equal Weight |
Harvest Premium and Harvest Equal Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Harvest Premium and Harvest Equal
The main advantage of trading using opposite Harvest Premium and Harvest Equal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Harvest Premium position performs unexpectedly, Harvest Equal 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 Harvest Equal will offset losses from the drop in Harvest Equal's long position.| Harvest Premium vs. PIMCO Global Short | Harvest Premium vs. Mackenzie Core Plus | Harvest Premium vs. Mackenzie Global Fixed |
| Harvest Equal vs. Harvest Healthcare Leaders | Harvest Equal vs. CI Gold Giants | Harvest Equal vs. BMO Global High | Harvest Equal vs. First Asset 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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