Correlation Between Martin Marietta and Enbridge
Can any of the company-specific risk be diversified away by investing in both Martin Marietta and Enbridge 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 Martin Marietta and Enbridge into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Martin Marietta Materials and Enbridge, you can compare the effects of market volatilities on Martin Marietta and Enbridge 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 Martin Marietta with a short position of Enbridge. Check out your portfolio center. Please also check ongoing floating volatility patterns of Martin Marietta and Enbridge.
Diversification Opportunities for Martin Marietta and Enbridge
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Martin and Enbridge is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Martin Marietta Materials and Enbridge in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Enbridge and Martin Marietta 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 Martin Marietta Materials are associated (or correlated) with Enbridge. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Enbridge has no effect on the direction of Martin Marietta i.e., Martin Marietta and Enbridge go up and down completely randomly.
Pair Corralation between Martin Marietta and Enbridge
Assuming the 90 days trading horizon Martin Marietta Materials is expected to generate 1.01 times more return on investment than Enbridge. However, Martin Marietta is 1.01 times more volatile than Enbridge. It trades about 0.15 of its potential returns per unit of risk. Enbridge is currently generating about -0.06 per unit of risk. If you would invest 50,550 in Martin Marietta Materials on April 24, 2025 and sell it today you would earn a total of 5,857 from holding Martin Marietta Materials or generate 11.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 61.11% |
Values | Daily Returns |
Martin Marietta Materials vs. Enbridge
Performance |
Timeline |
Martin Marietta Materials |
Enbridge |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
Martin Marietta and Enbridge Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Martin Marietta and Enbridge
The main advantage of trading using opposite Martin Marietta and Enbridge positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Martin Marietta position performs unexpectedly, Enbridge 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 Enbridge will offset losses from the drop in Enbridge's long position.Martin Marietta vs. Mobius Investment Trust | Martin Marietta vs. TR Property Investment | Martin Marietta vs. Foresight Environmental Infrastructure | Martin Marietta vs. Electronic Arts |
Enbridge vs. Universal Display Corp | Enbridge vs. Playtech Plc | Enbridge vs. Capital Drilling | Enbridge vs. Aptitude Software Group |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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