Correlation Between SmartStop Self and Canlan Ice
Can any of the company-specific risk be diversified away by investing in both SmartStop Self and Canlan Ice 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 SmartStop Self and Canlan Ice into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SmartStop Self Storage and Canlan Ice Sports, you can compare the effects of market volatilities on SmartStop Self and Canlan Ice 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 SmartStop Self with a short position of Canlan Ice. Check out your portfolio center. Please also check ongoing floating volatility patterns of SmartStop Self and Canlan Ice.
Diversification Opportunities for SmartStop Self and Canlan Ice
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SmartStop and Canlan is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding SmartStop Self Storage and Canlan Ice Sports in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Canlan Ice Sports and SmartStop Self 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 SmartStop Self Storage are associated (or correlated) with Canlan Ice. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Canlan Ice Sports has no effect on the direction of SmartStop Self i.e., SmartStop Self and Canlan Ice go up and down completely randomly.
Pair Corralation between SmartStop Self and Canlan Ice
Assuming the 90 days horizon SmartStop Self Storage is expected to generate 43.66 times more return on investment than Canlan Ice. However, SmartStop Self is 43.66 times more volatile than Canlan Ice Sports. It trades about 0.02 of its potential returns per unit of risk. Canlan Ice Sports is currently generating about 0.13 per unit of risk. If you would invest 958.00 in SmartStop Self Storage on September 26, 2024 and sell it today you would lose (58.00) from holding SmartStop Self Storage or give up 6.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.68% |
Values | Daily Returns |
SmartStop Self Storage vs. Canlan Ice Sports
Performance |
Timeline |
SmartStop Self Storage |
Canlan Ice Sports |
SmartStop Self and Canlan Ice Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SmartStop Self and Canlan Ice
The main advantage of trading using opposite SmartStop Self and Canlan Ice positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SmartStop Self position performs unexpectedly, Canlan Ice 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 Canlan Ice will offset losses from the drop in Canlan Ice's long position.SmartStop Self vs. LXP Industrial Trust | SmartStop Self vs. First Industrial Realty | SmartStop Self vs. Plymouth Industrial REIT | SmartStop Self vs. Terreno Realty |
Canlan Ice vs. SmartStop Self Storage | Canlan Ice vs. FitLife Brands, Common | Canlan Ice vs. Payoneer Global | Canlan Ice vs. Digi International |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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