Correlation Between Auxly Cannabis and Chalice Brands
Can any of the company-specific risk be diversified away by investing in both Auxly Cannabis and Chalice Brands 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 Auxly Cannabis and Chalice Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Auxly Cannabis Group and Chalice Brands, you can compare the effects of market volatilities on Auxly Cannabis and Chalice Brands 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 Auxly Cannabis with a short position of Chalice Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Auxly Cannabis and Chalice Brands.
Diversification Opportunities for Auxly Cannabis and Chalice Brands
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Auxly and Chalice is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Auxly Cannabis Group and Chalice Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chalice Brands and Auxly Cannabis 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 Auxly Cannabis Group are associated (or correlated) with Chalice Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chalice Brands has no effect on the direction of Auxly Cannabis i.e., Auxly Cannabis and Chalice Brands go up and down completely randomly.
Pair Corralation between Auxly Cannabis and Chalice Brands
Assuming the 90 days horizon Auxly Cannabis Group is expected to generate 0.4 times more return on investment than Chalice Brands. However, Auxly Cannabis Group is 2.49 times less risky than Chalice Brands. It trades about -0.02 of its potential returns per unit of risk. Chalice Brands is currently generating about -0.17 per unit of risk. If you would invest 2.80 in Auxly Cannabis Group on September 16, 2024 and sell it today you would lose (0.40) from holding Auxly Cannabis Group or give up 14.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.46% |
Values | Daily Returns |
Auxly Cannabis Group vs. Chalice Brands
Performance |
Timeline |
Auxly Cannabis Group |
Chalice Brands |
Auxly Cannabis and Chalice Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Auxly Cannabis and Chalice Brands
The main advantage of trading using opposite Auxly Cannabis and Chalice Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Auxly Cannabis position performs unexpectedly, Chalice Brands 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 Chalice Brands will offset losses from the drop in Chalice Brands' long position.Auxly Cannabis vs. C21 Investments | Auxly Cannabis vs. Delta 9 Cannabis | Auxly Cannabis vs. Halo Collective | Auxly Cannabis vs. Willow Biosciences |
Chalice Brands vs. C21 Investments | Chalice Brands vs. Delta 9 Cannabis | Chalice Brands vs. Halo Collective | Chalice Brands vs. Willow Biosciences |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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