Correlation Between Compass Minerals and Sigma Lithium
Can any of the company-specific risk be diversified away by investing in both Compass Minerals and Sigma Lithium 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 Sigma Lithium 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 Sigma Lithium Resources, you can compare the effects of market volatilities on Compass Minerals and Sigma Lithium 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 Sigma Lithium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Compass Minerals and Sigma Lithium.
Diversification Opportunities for Compass Minerals and Sigma Lithium
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Compass and Sigma is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Compass Minerals International and Sigma Lithium Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sigma Lithium Resources 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 Sigma Lithium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sigma Lithium Resources has no effect on the direction of Compass Minerals i.e., Compass Minerals and Sigma Lithium go up and down completely randomly.
Pair Corralation between Compass Minerals and Sigma Lithium
If you would invest 602.00 in Sigma Lithium Resources on August 26, 2025 and sell it today you would earn a total of 383.00 from holding Sigma Lithium Resources or generate 63.62% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 1.56% |
| Values | Daily Returns |
Compass Minerals International vs. Sigma Lithium Resources
Performance |
| Timeline |
| Compass Minerals Int |
Risk-Adjusted Performance
Weakest
Weak | Strong |
| Sigma Lithium Resources |
Compass Minerals and Sigma Lithium Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Compass Minerals and Sigma Lithium
The main advantage of trading using opposite Compass Minerals and Sigma Lithium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Compass Minerals position performs unexpectedly, Sigma Lithium 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 Sigma Lithium will offset losses from the drop in Sigma Lithium's long position.| Compass Minerals vs. Bebida Beverage Co | Compass Minerals vs. Suntory Beverage Food | Compass Minerals vs. Seneca Foods | Compass Minerals vs. Selective Insurance Group |
| Sigma Lithium vs. Sun Country Airlines | Sigma Lithium vs. Zijin Mining Group | Sigma Lithium vs. Monster Beverage Corp | Sigma Lithium vs. NXP Semiconductors NV |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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