Correlation Between FIBRA Macquarie and SmartStop Self
Can any of the company-specific risk be diversified away by investing in both FIBRA Macquarie and SmartStop Self 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 FIBRA Macquarie and SmartStop Self into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FIBRA Macquarie Mxico and SmartStop Self Storage, you can compare the effects of market volatilities on FIBRA Macquarie and SmartStop Self 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 FIBRA Macquarie with a short position of SmartStop Self. Check out your portfolio center. Please also check ongoing floating volatility patterns of FIBRA Macquarie and SmartStop Self.
Diversification Opportunities for FIBRA Macquarie and SmartStop Self
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between FIBRA and SmartStop is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding FIBRA Macquarie Mxico and SmartStop Self Storage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SmartStop Self Storage and FIBRA Macquarie 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 FIBRA Macquarie Mxico are associated (or correlated) with SmartStop Self. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SmartStop Self Storage has no effect on the direction of FIBRA Macquarie i.e., FIBRA Macquarie and SmartStop Self go up and down completely randomly.
Pair Corralation between FIBRA Macquarie and SmartStop Self
Assuming the 90 days horizon FIBRA Macquarie Mxico is expected to generate 44.68 times more return on investment than SmartStop Self. However, FIBRA Macquarie is 44.68 times more volatile than SmartStop Self Storage. It trades about 0.05 of its potential returns per unit of risk. SmartStop Self Storage is currently generating about 0.18 per unit of risk. If you would invest 151.00 in FIBRA Macquarie Mxico on May 2, 2025 and sell it today you would earn a total of 11.00 from holding FIBRA Macquarie Mxico or generate 7.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FIBRA Macquarie Mxico vs. SmartStop Self Storage
Performance |
Timeline |
FIBRA Macquarie Mxico |
SmartStop Self Storage |
FIBRA Macquarie and SmartStop Self Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FIBRA Macquarie and SmartStop Self
The main advantage of trading using opposite FIBRA Macquarie and SmartStop Self positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FIBRA Macquarie position performs unexpectedly, SmartStop Self 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 SmartStop Self will offset losses from the drop in SmartStop Self's long position.FIBRA Macquarie vs. Industrial Logistics Properties | FIBRA Macquarie vs. Safestore Holdings plc | FIBRA Macquarie vs. Plymouth Industrial REIT | FIBRA Macquarie vs. Terreno Realty |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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