Correlation Between Lithium Ionic and American Rare
Can any of the company-specific risk be diversified away by investing in both Lithium Ionic and American Rare 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 Ionic and American Rare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lithium Ionic Corp and American Rare Earths, you can compare the effects of market volatilities on Lithium Ionic and American Rare 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 Ionic with a short position of American Rare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lithium Ionic and American Rare.
Diversification Opportunities for Lithium Ionic and American Rare
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Lithium and American is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Lithium Ionic Corp and American Rare Earths in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Rare Earths and Lithium Ionic 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 Ionic Corp are associated (or correlated) with American Rare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Rare Earths has no effect on the direction of Lithium Ionic i.e., Lithium Ionic and American Rare go up and down completely randomly.
Pair Corralation between Lithium Ionic and American Rare
Assuming the 90 days horizon Lithium Ionic Corp is expected to generate 1.4 times more return on investment than American Rare. However, Lithium Ionic is 1.4 times more volatile than American Rare Earths. It trades about 0.1 of its potential returns per unit of risk. American Rare Earths is currently generating about 0.02 per unit of risk. If you would invest 49.00 in Lithium Ionic Corp on September 3, 2024 and sell it today you would earn a total of 15.00 from holding Lithium Ionic Corp or generate 30.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.46% |
Values | Daily Returns |
Lithium Ionic Corp vs. American Rare Earths
Performance |
Timeline |
Lithium Ionic Corp |
American Rare Earths |
Lithium Ionic and American Rare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lithium Ionic and American Rare
The main advantage of trading using opposite Lithium Ionic and American Rare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lithium Ionic position performs unexpectedly, American Rare 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 American Rare will offset losses from the drop in American Rare's long position.Lithium Ionic vs. Qubec Nickel Corp | Lithium Ionic vs. IGO Limited | Lithium Ionic vs. Avarone Metals | Lithium Ionic vs. Adriatic Metals PLC |
American Rare vs. Qubec Nickel Corp | American Rare vs. IGO Limited | American Rare vs. Avarone Metals | American Rare vs. Adriatic Metals PLC |
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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