Correlation Between Marimaca Copper and Berkshire Hathaway
Can any of the company-specific risk be diversified away by investing in both Marimaca Copper and Berkshire Hathaway 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 Marimaca Copper and Berkshire Hathaway into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Marimaca Copper Corp and Berkshire Hathaway CDR, you can compare the effects of market volatilities on Marimaca Copper and Berkshire Hathaway 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 Marimaca Copper with a short position of Berkshire Hathaway. Check out your portfolio center. Please also check ongoing floating volatility patterns of Marimaca Copper and Berkshire Hathaway.
Diversification Opportunities for Marimaca Copper and Berkshire Hathaway
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Marimaca and Berkshire is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Marimaca Copper Corp and Berkshire Hathaway CDR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Berkshire Hathaway CDR and Marimaca Copper 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 Marimaca Copper Corp are associated (or correlated) with Berkshire Hathaway. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Berkshire Hathaway CDR has no effect on the direction of Marimaca Copper i.e., Marimaca Copper and Berkshire Hathaway go up and down completely randomly.
Pair Corralation between Marimaca Copper and Berkshire Hathaway
Assuming the 90 days trading horizon Marimaca Copper Corp is expected to generate 2.44 times more return on investment than Berkshire Hathaway. However, Marimaca Copper is 2.44 times more volatile than Berkshire Hathaway CDR. It trades about 0.11 of its potential returns per unit of risk. Berkshire Hathaway CDR is currently generating about 0.06 per unit of risk. If you would invest 376.00 in Marimaca Copper Corp on December 10, 2024 and sell it today you would earn a total of 151.00 from holding Marimaca Copper Corp or generate 40.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Marimaca Copper Corp vs. Berkshire Hathaway CDR
Performance |
Timeline |
Marimaca Copper Corp |
Berkshire Hathaway CDR |
Marimaca Copper and Berkshire Hathaway Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Marimaca Copper and Berkshire Hathaway
The main advantage of trading using opposite Marimaca Copper and Berkshire Hathaway positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Marimaca Copper position performs unexpectedly, Berkshire Hathaway 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 Berkshire Hathaway will offset losses from the drop in Berkshire Hathaway's long position.Marimaca Copper vs. Ero Copper Corp | Marimaca Copper vs. Arizona Sonoran Copper | Marimaca Copper vs. Solaris Resources |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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