Correlation Between Cann American and Green Thumb
Can any of the company-specific risk be diversified away by investing in both Cann American and Green Thumb 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 Cann American and Green Thumb into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cann American Corp and Green Thumb Industries, you can compare the effects of market volatilities on Cann American and Green Thumb 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 Cann American with a short position of Green Thumb. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cann American and Green Thumb.
Diversification Opportunities for Cann American and Green Thumb
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Cann and Green is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding Cann American Corp and Green Thumb Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Green Thumb Industries and Cann American 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 Cann American Corp are associated (or correlated) with Green Thumb. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Green Thumb Industries has no effect on the direction of Cann American i.e., Cann American and Green Thumb go up and down completely randomly.
Pair Corralation between Cann American and Green Thumb
Given the investment horizon of 90 days Cann American Corp is expected to generate 6.73 times more return on investment than Green Thumb. However, Cann American is 6.73 times more volatile than Green Thumb Industries. It trades about 0.06 of its potential returns per unit of risk. Green Thumb Industries is currently generating about -0.19 per unit of risk. If you would invest 0.40 in Cann American Corp on December 27, 2024 and sell it today you would lose (0.02) from holding Cann American Corp or give up 5.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.83% |
Values | Daily Returns |
Cann American Corp vs. Green Thumb Industries
Performance |
Timeline |
Cann American Corp |
Green Thumb Industries |
Cann American and Green Thumb Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cann American and Green Thumb
The main advantage of trading using opposite Cann American and Green Thumb positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cann American position performs unexpectedly, Green Thumb 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 Green Thumb will offset losses from the drop in Green Thumb's long position.Cann American vs. XCPCNL Business Services | Cann American vs. Golden Developing Solutions | Cann American vs. Indo Global Exchange | Cann American vs. Cgrowth Capital |
Green Thumb vs. Curaleaf Holdings | Green Thumb vs. Trulieve Cannabis Corp | Green Thumb vs. Cresco Labs | Green Thumb vs. GrowGeneration Corp |
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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