Correlation Between Summit Materials and Derwent London
Can any of the company-specific risk be diversified away by investing in both Summit Materials and Derwent London 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 Derwent London 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 Derwent London PLC, you can compare the effects of market volatilities on Summit Materials and Derwent London 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 Derwent London. Check out your portfolio center. Please also check ongoing floating volatility patterns of Summit Materials and Derwent London.
Diversification Opportunities for Summit Materials and Derwent London
-0.9 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Summit and Derwent is -0.9. Overlapping area represents the amount of risk that can be diversified away by holding Summit Materials Cl and Derwent London PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Derwent London PLC 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 Derwent London. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Derwent London PLC has no effect on the direction of Summit Materials i.e., Summit Materials and Derwent London go up and down completely randomly.
Pair Corralation between Summit Materials and Derwent London
Assuming the 90 days trading horizon Summit Materials Cl is expected to generate 1.27 times more return on investment than Derwent London. However, Summit Materials is 1.27 times more volatile than Derwent London PLC. It trades about 0.06 of its potential returns per unit of risk. Derwent London PLC is currently generating about -0.01 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 | Significant |
Accuracy | 92.18% |
Values | Daily Returns |
Summit Materials Cl vs. Derwent London PLC
Performance |
Timeline |
Summit Materials |
Derwent London PLC |
Summit Materials and Derwent London Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Summit Materials and Derwent London
The main advantage of trading using opposite Summit Materials and Derwent London positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Summit Materials position performs unexpectedly, Derwent London 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 Derwent London will offset losses from the drop in Derwent London'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 |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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