Correlation Between Lithium Americas and Pampa Metals
Can any of the company-specific risk be diversified away by investing in both Lithium Americas and Pampa Metals 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 Lithium Americas and Pampa Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lithium Americas Corp and Pampa Metals, you can compare the effects of market volatilities on Lithium Americas and Pampa Metals 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 Lithium Americas with a short position of Pampa Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lithium Americas and Pampa Metals.
Diversification Opportunities for Lithium Americas and Pampa Metals
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lithium and Pampa is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Lithium Americas Corp and Pampa Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pampa Metals and Lithium Americas 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 Lithium Americas Corp are associated (or correlated) with Pampa Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pampa Metals has no effect on the direction of Lithium Americas i.e., Lithium Americas and Pampa Metals go up and down completely randomly.
Pair Corralation between Lithium Americas and Pampa Metals
Considering the 90-day investment horizon Lithium Americas is expected to generate 25.76 times less return on investment than Pampa Metals. But when comparing it to its historical volatility, Lithium Americas Corp is 3.87 times less risky than Pampa Metals. It trades about 0.01 of its potential returns per unit of risk. Pampa Metals is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 12.00 in Pampa Metals on October 27, 2024 and sell it today you would earn a total of 1.00 from holding Pampa Metals or generate 8.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 90.48% |
Values | Daily Returns |
Lithium Americas Corp vs. Pampa Metals
Performance |
Timeline |
Lithium Americas Corp |
Pampa Metals |
Lithium Americas and Pampa Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lithium Americas and Pampa Metals
The main advantage of trading using opposite Lithium Americas and Pampa Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lithium Americas position performs unexpectedly, Pampa Metals 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 Pampa Metals will offset losses from the drop in Pampa Metals' long position.Lithium Americas vs. Sigma Lithium Resources | Lithium Americas vs. Standard Lithium | Lithium Americas vs. Sayona Mining Limited | Lithium Americas vs. MP Materials Corp |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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