Correlation Between McEwen Mining and Bayerische Motoren
Can any of the company-specific risk be diversified away by investing in both McEwen Mining and Bayerische Motoren 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 Bayerische Motoren into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between McEwen Mining and Bayerische Motoren Werke, you can compare the effects of market volatilities on McEwen Mining and Bayerische Motoren 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 Bayerische Motoren. Check out your portfolio center. Please also check ongoing floating volatility patterns of McEwen Mining and Bayerische Motoren.
Diversification Opportunities for McEwen Mining and Bayerische Motoren
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between McEwen and Bayerische is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding McEwen Mining and Bayerische Motoren Werke in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bayerische Motoren Werke 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 are associated (or correlated) with Bayerische Motoren. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bayerische Motoren Werke has no effect on the direction of McEwen Mining i.e., McEwen Mining and Bayerische Motoren go up and down completely randomly.
Pair Corralation between McEwen Mining and Bayerische Motoren
Assuming the 90 days trading horizon McEwen Mining is expected to under-perform the Bayerische Motoren. In addition to that, McEwen Mining is 1.67 times more volatile than Bayerische Motoren Werke. It trades about -0.03 of its total potential returns per unit of risk. Bayerische Motoren Werke is currently generating about 0.0 per unit of volatility. If you would invest 168,601 in Bayerische Motoren Werke on December 5, 2024 and sell it today you would lose (2,801) from holding Bayerische Motoren Werke or give up 1.66% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
McEwen Mining vs. Bayerische Motoren Werke
Performance |
Timeline |
McEwen Mining |
Bayerische Motoren Werke |
McEwen Mining and Bayerische Motoren Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with McEwen Mining and Bayerische Motoren
The main advantage of trading using opposite McEwen Mining and Bayerische Motoren positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if McEwen Mining position performs unexpectedly, Bayerische Motoren 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 Bayerische Motoren will offset losses from the drop in Bayerische Motoren's long position.McEwen Mining vs. Hoteles City Express | McEwen Mining vs. KB Home | McEwen Mining vs. Delta Air Lines | McEwen Mining vs. Air Transport Services |
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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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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