Correlation Between Cann American and Global Hemp
Can any of the company-specific risk be diversified away by investing in both Cann American and Global Hemp 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 Global Hemp 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 Global Hemp Group, you can compare the effects of market volatilities on Cann American and Global Hemp 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 Global Hemp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cann American and Global Hemp.
Diversification Opportunities for Cann American and Global Hemp
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Cann and Global is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Cann American Corp and Global Hemp Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Hemp Group 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 Global Hemp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Hemp Group has no effect on the direction of Cann American i.e., Cann American and Global Hemp go up and down completely randomly.
Pair Corralation between Cann American and Global Hemp
Given the investment horizon of 90 days Cann American is expected to generate 10.91 times less return on investment than Global Hemp. But when comparing it to its historical volatility, Cann American Corp is 3.63 times less risky than Global Hemp. It trades about 0.06 of its potential returns per unit of risk. Global Hemp Group is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 1.00 in Global Hemp Group on December 28, 2024 and sell it today you would earn a total of 0.10 from holding Global Hemp Group or generate 10.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 96.83% |
Values | Daily Returns |
Cann American Corp vs. Global Hemp Group
Performance |
Timeline |
Cann American Corp |
Global Hemp Group |
Cann American and Global Hemp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cann American and Global Hemp
The main advantage of trading using opposite Cann American and Global Hemp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cann American position performs unexpectedly, Global Hemp 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 Global Hemp will offset losses from the drop in Global Hemp'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 |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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