Correlation Between MCEWEN MINING and STMicroelectronics
Can any of the company-specific risk be diversified away by investing in both MCEWEN MINING and STMicroelectronics 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 STMicroelectronics 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 STMicroelectronics NV, you can compare the effects of market volatilities on MCEWEN MINING and STMicroelectronics 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 STMicroelectronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of MCEWEN MINING and STMicroelectronics.
Diversification Opportunities for MCEWEN MINING and STMicroelectronics
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between MCEWEN and STMicroelectronics is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding MCEWEN MINING INC and STMicroelectronics NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STMicroelectronics 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 STMicroelectronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of STMicroelectronics has no effect on the direction of MCEWEN MINING i.e., MCEWEN MINING and STMicroelectronics go up and down completely randomly.
Pair Corralation between MCEWEN MINING and STMicroelectronics
Assuming the 90 days horizon MCEWEN MINING INC is expected to under-perform the STMicroelectronics. In addition to that, MCEWEN MINING is 1.15 times more volatile than STMicroelectronics NV. It trades about -0.06 of its total potential returns per unit of risk. STMicroelectronics NV is currently generating about 0.0 per unit of volatility. If you would invest 2,420 in STMicroelectronics NV on December 2, 2024 and sell it today you would lose (58.00) from holding STMicroelectronics NV or give up 2.4% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MCEWEN MINING INC vs. STMicroelectronics NV
Performance |
Timeline |
MCEWEN MINING INC |
STMicroelectronics |
MCEWEN MINING and STMicroelectronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MCEWEN MINING and STMicroelectronics
The main advantage of trading using opposite MCEWEN MINING and STMicroelectronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MCEWEN MINING position performs unexpectedly, STMicroelectronics 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 STMicroelectronics will offset losses from the drop in STMicroelectronics' long position.MCEWEN MINING vs. JAPAN AIRLINES | MCEWEN MINING vs. SOUTHWEST AIRLINES | MCEWEN MINING vs. Pets at Home | MCEWEN MINING vs. Singapore Airlines Limited |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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