Correlation Between Compass Minerals and BHP Group
Can any of the company-specific risk be diversified away by investing in both Compass Minerals and BHP Group 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 Compass Minerals and BHP Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Compass Minerals International and BHP Group Limited, you can compare the effects of market volatilities on Compass Minerals and BHP Group 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 Compass Minerals with a short position of BHP Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Compass Minerals and BHP Group.
Diversification Opportunities for Compass Minerals and BHP Group
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Compass and BHP is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Compass Minerals International and BHP Group Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BHP Group Limited and Compass Minerals 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 Compass Minerals International are associated (or correlated) with BHP Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BHP Group Limited has no effect on the direction of Compass Minerals i.e., Compass Minerals and BHP Group go up and down completely randomly.
Pair Corralation between Compass Minerals and BHP Group
Considering the 90-day investment horizon Compass Minerals International is expected to under-perform the BHP Group. In addition to that, Compass Minerals is 2.65 times more volatile than BHP Group Limited. It trades about -0.06 of its total potential returns per unit of risk. BHP Group Limited is currently generating about 0.15 per unit of volatility. If you would invest 5,655 in BHP Group Limited on January 26, 2024 and sell it today you would earn a total of 269.00 from holding BHP Group Limited or generate 4.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Compass Minerals International vs. BHP Group Limited
Performance |
Timeline |
Compass Minerals Int |
BHP Group Limited |
Compass Minerals and BHP Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Compass Minerals and BHP Group
The main advantage of trading using opposite Compass Minerals and BHP Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Compass Minerals position performs unexpectedly, BHP Group 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 BHP Group will offset losses from the drop in BHP Group's long position.Compass Minerals vs. Skeena Resources | Compass Minerals vs. Materion | Compass Minerals vs. Fury Gold Mines | Compass Minerals vs. Eskay Mining Corp |
BHP Group vs. Skeena Resources | BHP Group vs. Materion | BHP Group vs. Fury Gold Mines | BHP Group vs. Eskay Mining Corp |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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