Correlation Between Pilbara Minerals and Sigma Lithium
Can any of the company-specific risk be diversified away by investing in both Pilbara 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 Pilbara 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 Pilbara Minerals Limited and Sigma Lithium Resources, you can compare the effects of market volatilities on Pilbara 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 Pilbara Minerals with a short position of Sigma Lithium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pilbara Minerals and Sigma Lithium.
Diversification Opportunities for Pilbara Minerals and Sigma Lithium
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Pilbara and Sigma is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Pilbara Minerals Limited 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 Pilbara 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 Pilbara Minerals Limited 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 Pilbara Minerals i.e., Pilbara Minerals and Sigma Lithium go up and down completely randomly.
Pair Corralation between Pilbara Minerals and Sigma Lithium
Assuming the 90 days horizon Pilbara Minerals Limited is expected to under-perform the Sigma Lithium. But the pink sheet apears to be less risky and, when comparing its historical volatility, Pilbara Minerals Limited is 1.61 times less risky than Sigma Lithium. The pink sheet trades about -0.14 of its potential returns per unit of risk. The Sigma Lithium Resources is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 1,209 in Sigma Lithium Resources on October 6, 2024 and sell it today you would earn a total of 0.00 from holding Sigma Lithium Resources or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Pilbara Minerals Limited vs. Sigma Lithium Resources
Performance |
Timeline |
Pilbara Minerals |
Sigma Lithium Resources |
Pilbara Minerals and Sigma Lithium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pilbara Minerals and Sigma Lithium
The main advantage of trading using opposite Pilbara Minerals and Sigma Lithium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pilbara 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.Pilbara Minerals vs. South32 Limited | Pilbara Minerals vs. Grupo Mxico SAB | Pilbara Minerals vs. Critical Elements | Pilbara Minerals vs. Jourdan 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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