Correlation Between MCEWEN MINING and EAGLE MATERIALS
Can any of the company-specific risk be diversified away by investing in both MCEWEN MINING and EAGLE MATERIALS 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 MCEWEN MINING and EAGLE MATERIALS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MCEWEN MINING INC and EAGLE MATERIALS, you can compare the effects of market volatilities on MCEWEN MINING and EAGLE MATERIALS 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 MCEWEN MINING with a short position of EAGLE MATERIALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of MCEWEN MINING and EAGLE MATERIALS.
Diversification Opportunities for MCEWEN MINING and EAGLE MATERIALS
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between MCEWEN and EAGLE is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding MCEWEN MINING INC and EAGLE MATERIALS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EAGLE MATERIALS and MCEWEN 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 MCEWEN MINING INC are associated (or correlated) with EAGLE MATERIALS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EAGLE MATERIALS has no effect on the direction of MCEWEN MINING i.e., MCEWEN MINING and EAGLE MATERIALS go up and down completely randomly.
Pair Corralation between MCEWEN MINING and EAGLE MATERIALS
Assuming the 90 days horizon MCEWEN MINING INC is expected to generate 1.44 times more return on investment than EAGLE MATERIALS. However, MCEWEN MINING is 1.44 times more volatile than EAGLE MATERIALS. It trades about 0.0 of its potential returns per unit of risk. EAGLE MATERIALS is currently generating about -0.1 per unit of risk. If you would invest 755.00 in MCEWEN MINING INC on December 29, 2024 and sell it today you would lose (20.00) from holding MCEWEN MINING INC or give up 2.65% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
MCEWEN MINING INC vs. EAGLE MATERIALS
Performance |
Timeline |
MCEWEN MINING INC |
EAGLE MATERIALS |
MCEWEN MINING and EAGLE MATERIALS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MCEWEN MINING and EAGLE MATERIALS
The main advantage of trading using opposite MCEWEN MINING and EAGLE MATERIALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MCEWEN MINING position performs unexpectedly, EAGLE MATERIALS 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 EAGLE MATERIALS will offset losses from the drop in EAGLE MATERIALS's long position.MCEWEN MINING vs. CREDIT AGRICOLE | MCEWEN MINING vs. SHELF DRILLING LTD | MCEWEN MINING vs. COMMERCIAL VEHICLE | MCEWEN MINING vs. GEELY AUTOMOBILE |
EAGLE MATERIALS vs. Apple Inc | EAGLE MATERIALS vs. Apple Inc | EAGLE MATERIALS vs. Apple Inc | EAGLE MATERIALS vs. Apple Inc |
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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