Correlation Between MP Materials and Piedmont Lithium
Can any of the company-specific risk be diversified away by investing in both MP Materials and Piedmont 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 Piedmont 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 Piedmont Lithium Ltd, you can compare the effects of market volatilities on MP Materials and Piedmont 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 Piedmont Lithium. Check out your portfolio center. Please also check ongoing floating volatility patterns of MP Materials and Piedmont Lithium.
Diversification Opportunities for MP Materials and Piedmont Lithium
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between MP Materials and Piedmont is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding MP Materials Corp and Piedmont Lithium Ltd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Piedmont 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 Piedmont Lithium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Piedmont Lithium has no effect on the direction of MP Materials i.e., MP Materials and Piedmont Lithium go up and down completely randomly.
Pair Corralation between MP Materials and Piedmont Lithium
Allowing for the 90-day total investment horizon MP Materials is expected to generate 1.15 times less return on investment than Piedmont Lithium. But when comparing it to its historical volatility, MP Materials Corp is 2.38 times less risky than Piedmont Lithium. It trades about 0.25 of its potential returns per unit of risk. Piedmont Lithium Ltd is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 824.00 in Piedmont Lithium Ltd on August 30, 2024 and sell it today you would earn a total of 411.00 from holding Piedmont Lithium Ltd or generate 49.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
MP Materials Corp vs. Piedmont Lithium Ltd
Performance |
Timeline |
MP Materials Corp |
Piedmont Lithium |
MP Materials and Piedmont Lithium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MP Materials and Piedmont Lithium
The main advantage of trading using opposite MP Materials and Piedmont Lithium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MP Materials position performs unexpectedly, Piedmont 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 Piedmont Lithium will offset losses from the drop in Piedmont 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 |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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