Correlation Between Carnegie Clean and MCEWEN MINING
Can any of the company-specific risk be diversified away by investing in both Carnegie Clean and MCEWEN MINING 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 Carnegie Clean and MCEWEN MINING into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Carnegie Clean Energy and MCEWEN MINING INC, you can compare the effects of market volatilities on Carnegie Clean and MCEWEN MINING 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 Carnegie Clean with a short position of MCEWEN MINING. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carnegie Clean and MCEWEN MINING.
Diversification Opportunities for Carnegie Clean and MCEWEN MINING
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Carnegie and MCEWEN is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Carnegie Clean Energy and MCEWEN MINING INC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MCEWEN MINING INC and Carnegie Clean 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 Carnegie Clean Energy are associated (or correlated) with MCEWEN MINING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MCEWEN MINING INC has no effect on the direction of Carnegie Clean i.e., Carnegie Clean and MCEWEN MINING go up and down completely randomly.
Pair Corralation between Carnegie Clean and MCEWEN MINING
Assuming the 90 days trading horizon Carnegie Clean Energy is expected to under-perform the MCEWEN MINING. But the stock apears to be less risky and, when comparing its historical volatility, Carnegie Clean Energy is 1.46 times less risky than MCEWEN MINING. The stock trades about -0.19 of its potential returns per unit of risk. The MCEWEN MINING INC is currently generating about -0.05 of returns per unit of risk over similar time horizon. If you would invest 790.00 in MCEWEN MINING INC on October 4, 2024 and sell it today you would lose (35.00) from holding MCEWEN MINING INC or give up 4.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Carnegie Clean Energy vs. MCEWEN MINING INC
Performance |
Timeline |
Carnegie Clean Energy |
MCEWEN MINING INC |
Carnegie Clean and MCEWEN MINING Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Carnegie Clean and MCEWEN MINING
The main advantage of trading using opposite Carnegie Clean and MCEWEN MINING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carnegie Clean position performs unexpectedly, MCEWEN MINING 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 MCEWEN MINING will offset losses from the drop in MCEWEN MINING's long position.Carnegie Clean vs. China Resources Power | Carnegie Clean vs. Northland Power | Carnegie Clean vs. Superior Plus Corp | Carnegie Clean vs. NMI Holdings |
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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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