Correlation Between Cielo Waste and Aurora Cannabis
Can any of the company-specific risk be diversified away by investing in both Cielo Waste and Aurora Cannabis 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 Cielo Waste and Aurora Cannabis into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cielo Waste Solutions and Aurora Cannabis, you can compare the effects of market volatilities on Cielo Waste and Aurora Cannabis 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 Cielo Waste with a short position of Aurora Cannabis. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cielo Waste and Aurora Cannabis.
Diversification Opportunities for Cielo Waste and Aurora Cannabis
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Cielo and Aurora is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Cielo Waste Solutions and Aurora Cannabis in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aurora Cannabis and Cielo Waste 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 Cielo Waste Solutions are associated (or correlated) with Aurora Cannabis. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aurora Cannabis has no effect on the direction of Cielo Waste i.e., Cielo Waste and Aurora Cannabis go up and down completely randomly.
Pair Corralation between Cielo Waste and Aurora Cannabis
Assuming the 90 days horizon Cielo Waste Solutions is expected to under-perform the Aurora Cannabis. In addition to that, Cielo Waste is 1.52 times more volatile than Aurora Cannabis. It trades about -0.14 of its total potential returns per unit of risk. Aurora Cannabis is currently generating about -0.05 per unit of volatility. If you would invest 637.00 in Aurora Cannabis on September 24, 2024 and sell it today you would lose (22.00) from holding Aurora Cannabis or give up 3.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Cielo Waste Solutions vs. Aurora Cannabis
Performance |
Timeline |
Cielo Waste Solutions |
Aurora Cannabis |
Cielo Waste and Aurora Cannabis Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cielo Waste and Aurora Cannabis
The main advantage of trading using opposite Cielo Waste and Aurora Cannabis positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cielo Waste position performs unexpectedly, Aurora Cannabis 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 Aurora Cannabis will offset losses from the drop in Aurora Cannabis' long position.Cielo Waste vs. CHAR Technologies | Cielo Waste vs. iShares Canadian HYBrid | Cielo Waste vs. Altagas Cum Red | Cielo Waste vs. European Residential Real |
Aurora Cannabis vs. Decibel Cannabis | Aurora Cannabis vs. Cannara Biotech | Aurora Cannabis vs. iShares Canadian HYBrid | Aurora Cannabis vs. Altagas Cum Red |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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