Correlation Between MP Materials and Atlas Lithium
Can any of the company-specific risk be diversified away by investing in both MP Materials and Atlas 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 MP Materials and Atlas Lithium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MP Materials Corp and Atlas Lithium, you can compare the effects of market volatilities on MP Materials and Atlas 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 MP Materials with a short position of Atlas Lithium. Check out your portfolio center. Please also check ongoing floating volatility patterns of MP Materials and Atlas Lithium.
Diversification Opportunities for MP Materials and Atlas Lithium
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between MP Materials and Atlas is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding MP Materials Corp and Atlas Lithium in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Atlas Lithium and MP Materials 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 MP Materials Corp are associated (or correlated) with Atlas Lithium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Atlas Lithium has no effect on the direction of MP Materials i.e., MP Materials and Atlas Lithium go up and down completely randomly.
Pair Corralation between MP Materials and Atlas Lithium
Allowing for the 90-day total investment horizon MP Materials Corp is expected to generate 1.14 times more return on investment than Atlas Lithium. However, MP Materials is 1.14 times more volatile than Atlas Lithium. It trades about 0.07 of its potential returns per unit of risk. Atlas Lithium is currently generating about -0.11 per unit of risk. If you would invest 2,107 in MP Materials Corp on November 29, 2024 and sell it today you would earn a total of 270.00 from holding MP Materials Corp or generate 12.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MP Materials Corp vs. Atlas Lithium
Performance |
Timeline |
MP Materials Corp |
Atlas Lithium |
MP Materials and Atlas Lithium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MP Materials and Atlas Lithium
The main advantage of trading using opposite MP Materials and Atlas Lithium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MP Materials position performs unexpectedly, Atlas 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 Atlas Lithium will offset losses from the drop in Atlas Lithium's long position.MP Materials vs. Piedmont Lithium Ltd | MP Materials vs. Sigma Lithium Resources | MP Materials vs. Standard Lithium | MP Materials vs. Vale SA ADR |
Atlas Lithium vs. New Pacific Metals | Atlas Lithium vs. Endeavour Silver Corp | Atlas Lithium vs. McEwen Mining | Atlas Lithium vs. Metalla Royalty Streaming |
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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