Correlation Between Globex Mining and Martin Marietta
Can any of the company-specific risk be diversified away by investing in both Globex Mining and Martin Marietta 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 Globex Mining and Martin Marietta into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Globex Mining Enterprises and Martin Marietta Materials, you can compare the effects of market volatilities on Globex Mining and Martin Marietta 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 Globex Mining with a short position of Martin Marietta. Check out your portfolio center. Please also check ongoing floating volatility patterns of Globex Mining and Martin Marietta.
Diversification Opportunities for Globex Mining and Martin Marietta
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Globex and Martin is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Globex Mining Enterprises and Martin Marietta Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Martin Marietta Materials and Globex Mining 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 Globex Mining Enterprises are associated (or correlated) with Martin Marietta. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Martin Marietta Materials has no effect on the direction of Globex Mining i.e., Globex Mining and Martin Marietta go up and down completely randomly.
Pair Corralation between Globex Mining and Martin Marietta
Assuming the 90 days trading horizon Globex Mining Enterprises is expected to generate 1.45 times more return on investment than Martin Marietta. However, Globex Mining is 1.45 times more volatile than Martin Marietta Materials. It trades about 0.43 of its potential returns per unit of risk. Martin Marietta Materials is currently generating about -0.17 per unit of risk. If you would invest 72.00 in Globex Mining Enterprises on October 30, 2024 and sell it today you would earn a total of 21.00 from holding Globex Mining Enterprises or generate 29.17% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Globex Mining Enterprises vs. Martin Marietta Materials
Performance |
| Timeline |
| Globex Mining Enterprises |
| Martin Marietta Materials |
Globex Mining and Martin Marietta Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Globex Mining and Martin Marietta
The main advantage of trading using opposite Globex Mining and Martin Marietta positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Globex Mining position performs unexpectedly, Martin Marietta 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 Martin Marietta will offset losses from the drop in Martin Marietta's long position.| Globex Mining vs. Apple Inc | Globex Mining vs. Apple Inc | Globex Mining vs. Apple Inc | Globex Mining vs. Apple Inc |
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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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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