Correlation Between Summit Materials and Supermarket Income
Can any of the company-specific risk be diversified away by investing in both Summit Materials and Supermarket Income 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 Summit Materials and Supermarket Income into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Summit Materials Cl and Supermarket Income REIT, you can compare the effects of market volatilities on Summit Materials and Supermarket Income 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 Summit Materials with a short position of Supermarket Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Summit Materials and Supermarket Income.
Diversification Opportunities for Summit Materials and Supermarket Income
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Summit and Supermarket is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding Summit Materials Cl and Supermarket Income REIT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Supermarket Income REIT and Summit Materials 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 Summit Materials Cl are associated (or correlated) with Supermarket Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Supermarket Income REIT has no effect on the direction of Summit Materials i.e., Summit Materials and Supermarket Income go up and down completely randomly.
Pair Corralation between Summit Materials and Supermarket Income
Assuming the 90 days trading horizon Summit Materials Cl is expected to generate 1.39 times more return on investment than Supermarket Income. However, Summit Materials is 1.39 times more volatile than Supermarket Income REIT. It trades about 0.06 of its potential returns per unit of risk. Supermarket Income REIT is currently generating about -0.04 per unit of risk. If you would invest 3,072 in Summit Materials Cl on September 29, 2024 and sell it today you would earn a total of 1,990 from holding Summit Materials Cl or generate 64.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 92.18% |
Values | Daily Returns |
Summit Materials Cl vs. Supermarket Income REIT
Performance |
Timeline |
Summit Materials |
Supermarket Income REIT |
Summit Materials and Supermarket Income Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Summit Materials and Supermarket Income
The main advantage of trading using opposite Summit Materials and Supermarket Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Summit Materials position performs unexpectedly, Supermarket Income 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 Supermarket Income will offset losses from the drop in Supermarket Income's long position.Summit Materials vs. alstria office REIT AG | Summit Materials vs. Melia Hotels | Summit Materials vs. OneSavings Bank PLC | Summit Materials vs. Ally Financial |
Supermarket Income vs. Derwent London PLC | Supermarket Income vs. Hammerson PLC | Supermarket Income vs. Workspace Group PLC | Supermarket Income vs. Digital Realty Trust |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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