Correlation Between Power Metals and International Lithium
Can any of the company-specific risk be diversified away by investing in both Power Metals and International 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 Power Metals and International Lithium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Power Metals Corp and International Lithium Corp, you can compare the effects of market volatilities on Power Metals and International 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 Power Metals with a short position of International Lithium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Metals and International Lithium.
Diversification Opportunities for Power Metals and International Lithium
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Power and International is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Power Metals Corp and International Lithium Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on International Lithium and Power Metals 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 Power Metals Corp are associated (or correlated) with International Lithium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of International Lithium has no effect on the direction of Power Metals i.e., Power Metals and International Lithium go up and down completely randomly.
Pair Corralation between Power Metals and International Lithium
Assuming the 90 days horizon Power Metals is expected to generate 1.36 times less return on investment than International Lithium. But when comparing it to its historical volatility, Power Metals Corp is 2.84 times less risky than International Lithium. It trades about 0.1 of its potential returns per unit of risk. International Lithium Corp is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1.12 in International Lithium Corp on October 11, 2024 and sell it today you would lose (0.02) from holding International Lithium Corp or give up 1.79% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Power Metals Corp vs. International Lithium Corp
Performance |
Timeline |
Power Metals Corp |
International Lithium |
Power Metals and International Lithium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power Metals and International Lithium
The main advantage of trading using opposite Power Metals and International Lithium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Metals position performs unexpectedly, International 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 International Lithium will offset losses from the drop in International Lithium's long position.Power Metals vs. GoMgA Resources | Power Metals vs. Infinite Ore Corp | Power Metals vs. FPX Nickel Corp | Power Metals vs. International Lithium 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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