Correlation Between Cannabis Suisse and Khiron Life
Can any of the company-specific risk be diversified away by investing in both Cannabis Suisse and Khiron Life 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 Cannabis Suisse and Khiron Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cannabis Suisse Corp and Khiron Life Sciences, you can compare the effects of market volatilities on Cannabis Suisse and Khiron Life 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 Cannabis Suisse with a short position of Khiron Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cannabis Suisse and Khiron Life.
Diversification Opportunities for Cannabis Suisse and Khiron Life
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Cannabis and Khiron is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding Cannabis Suisse Corp and Khiron Life Sciences in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Khiron Life Sciences and Cannabis Suisse 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 Cannabis Suisse Corp are associated (or correlated) with Khiron Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Khiron Life Sciences has no effect on the direction of Cannabis Suisse i.e., Cannabis Suisse and Khiron Life go up and down completely randomly.
Pair Corralation between Cannabis Suisse and Khiron Life
Given the investment horizon of 90 days Cannabis Suisse is expected to generate 3.15 times less return on investment than Khiron Life. But when comparing it to its historical volatility, Cannabis Suisse Corp is 2.67 times less risky than Khiron Life. It trades about 0.14 of its potential returns per unit of risk. Khiron Life Sciences is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 0.01 in Khiron Life Sciences on September 6, 2024 and sell it today you would earn a total of 0.00 from holding Khiron Life Sciences or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Cannabis Suisse Corp vs. Khiron Life Sciences
Performance |
Timeline |
Cannabis Suisse Corp |
Khiron Life Sciences |
Cannabis Suisse and Khiron Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cannabis Suisse and Khiron Life
The main advantage of trading using opposite Cannabis Suisse and Khiron Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cannabis Suisse position performs unexpectedly, Khiron Life 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 Khiron Life will offset losses from the drop in Khiron Life's long position.Cannabis Suisse vs. Greater Cannabis | Cannabis Suisse vs. Global Hemp Group | Cannabis Suisse vs. Maple Leaf Green | Cannabis Suisse vs. Mc Endvrs |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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