Correlation Between SmartCentres Real and Canadian Net
Can any of the company-specific risk be diversified away by investing in both SmartCentres Real and Canadian Net 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 SmartCentres Real and Canadian Net into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SmartCentres Real Estate and Canadian Net Real, you can compare the effects of market volatilities on SmartCentres Real and Canadian Net 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 SmartCentres Real with a short position of Canadian Net. Check out your portfolio center. Please also check ongoing floating volatility patterns of SmartCentres Real and Canadian Net.
Diversification Opportunities for SmartCentres Real and Canadian Net
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between SmartCentres and Canadian is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding SmartCentres Real Estate and Canadian Net Real in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Canadian Net Real and SmartCentres Real 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 SmartCentres Real Estate are associated (or correlated) with Canadian Net. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Canadian Net Real has no effect on the direction of SmartCentres Real i.e., SmartCentres Real and Canadian Net go up and down completely randomly.
Pair Corralation between SmartCentres Real and Canadian Net
Assuming the 90 days trading horizon SmartCentres Real Estate is expected to generate 0.75 times more return on investment than Canadian Net. However, SmartCentres Real Estate is 1.33 times less risky than Canadian Net. It trades about 0.13 of its potential returns per unit of risk. Canadian Net Real is currently generating about 0.07 per unit of risk. If you would invest 2,198 in SmartCentres Real Estate on September 1, 2024 and sell it today you would earn a total of 373.00 from holding SmartCentres Real Estate or generate 16.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SmartCentres Real Estate vs. Canadian Net Real
Performance |
Timeline |
SmartCentres Real Estate |
Canadian Net Real |
SmartCentres Real and Canadian Net Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SmartCentres Real and Canadian Net
The main advantage of trading using opposite SmartCentres Real and Canadian Net positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SmartCentres Real position performs unexpectedly, Canadian Net 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 Canadian Net will offset losses from the drop in Canadian Net's long position.SmartCentres Real vs. RioCan Real Estate | SmartCentres Real vs. NorthWest Healthcare Properties | SmartCentres Real vs. HR Real Estate | SmartCentres Real vs. Choice Properties Real |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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