Correlation Between Martin Marietta and Berkshire Hathaway
Can any of the company-specific risk be diversified away by investing in both Martin Marietta and Berkshire Hathaway 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 Berkshire Hathaway 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 Berkshire Hathaway, you can compare the effects of market volatilities on Martin Marietta and Berkshire Hathaway 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 Berkshire Hathaway. Check out your portfolio center. Please also check ongoing floating volatility patterns of Martin Marietta and Berkshire Hathaway.
Diversification Opportunities for Martin Marietta and Berkshire Hathaway
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Martin and Berkshire is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Martin Marietta Materials and Berkshire Hathaway in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Berkshire Hathaway 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 Berkshire Hathaway. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Berkshire Hathaway has no effect on the direction of Martin Marietta i.e., Martin Marietta and Berkshire Hathaway go up and down completely randomly.
Pair Corralation between Martin Marietta and Berkshire Hathaway
Assuming the 90 days trading horizon Martin Marietta Materials is expected to generate 1.25 times more return on investment than Berkshire Hathaway. However, Martin Marietta is 1.25 times more volatile than Berkshire Hathaway. It trades about 0.09 of its potential returns per unit of risk. Berkshire Hathaway is currently generating about 0.09 per unit of risk. If you would invest 670,358 in Martin Marietta Materials on September 3, 2024 and sell it today you would earn a total of 545,702 from holding Martin Marietta Materials or generate 81.4% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Martin Marietta Materials vs. Berkshire Hathaway
Performance |
| Timeline |
| Martin Marietta Materials |
| Berkshire Hathaway |
Martin Marietta and Berkshire Hathaway Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Martin Marietta and Berkshire Hathaway
The main advantage of trading using opposite Martin Marietta and Berkshire Hathaway positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Martin Marietta position performs unexpectedly, Berkshire Hathaway 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 Berkshire Hathaway will offset losses from the drop in Berkshire Hathaway's long position.| Martin Marietta vs. TopBuild Corp | Martin Marietta vs. Grupo Lamosa SAB | Martin Marietta vs. Internacional de Cermica |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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