Correlation Between Summit Materials and Cadence Design
Can any of the company-specific risk be diversified away by investing in both Summit Materials and Cadence Design 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 Cadence Design into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Summit Materials and Cadence Design Systems, you can compare the effects of market volatilities on Summit Materials and Cadence Design 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 Cadence Design. Check out your portfolio center. Please also check ongoing floating volatility patterns of Summit Materials and Cadence Design.
Diversification Opportunities for Summit Materials and Cadence Design
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Summit and Cadence is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Summit Materials and Cadence Design Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cadence Design Systems 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 are associated (or correlated) with Cadence Design. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cadence Design Systems has no effect on the direction of Summit Materials i.e., Summit Materials and Cadence Design go up and down completely randomly.
Pair Corralation between Summit Materials and Cadence Design
Considering the 90-day investment horizon Summit Materials is expected to generate 1.11 times less return on investment than Cadence Design. In addition to that, Summit Materials is 1.03 times more volatile than Cadence Design Systems. It trades about 0.06 of its total potential returns per unit of risk. Cadence Design Systems is currently generating about 0.07 per unit of volatility. If you would invest 16,592 in Cadence Design Systems on September 29, 2024 and sell it today you would earn a total of 13,911 from holding Cadence Design Systems or generate 83.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Summit Materials vs. Cadence Design Systems
Performance |
Timeline |
Summit Materials |
Cadence Design Systems |
Summit Materials and Cadence Design Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Summit Materials and Cadence Design
The main advantage of trading using opposite Summit Materials and Cadence Design positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Summit Materials position performs unexpectedly, Cadence Design 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 Cadence Design will offset losses from the drop in Cadence Design's long position.Summit Materials vs. Martin Marietta Materials | Summit Materials vs. Vulcan Materials | Summit Materials vs. United States Lime | Summit Materials vs. James Hardie Industries |
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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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