Correlation Between Alpha Lithium and Standard Lithium
Can any of the company-specific risk be diversified away by investing in both Alpha Lithium and Standard 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 Alpha Lithium and Standard Lithium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alpha Lithium and Standard Lithium, you can compare the effects of market volatilities on Alpha Lithium and Standard 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 Alpha Lithium with a short position of Standard Lithium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alpha Lithium and Standard Lithium.
Diversification Opportunities for Alpha Lithium and Standard Lithium
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Alpha and Standard is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Alpha Lithium and Standard Lithium in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Standard Lithium and Alpha Lithium 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 Alpha Lithium are associated (or correlated) with Standard Lithium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Standard Lithium has no effect on the direction of Alpha Lithium i.e., Alpha Lithium and Standard Lithium go up and down completely randomly.
Pair Corralation between Alpha Lithium and Standard Lithium
Assuming the 90 days horizon Alpha Lithium is expected to under-perform the Standard Lithium. In addition to that, Alpha Lithium is 3.11 times more volatile than Standard Lithium. It trades about -0.03 of its total potential returns per unit of risk. Standard Lithium is currently generating about -0.01 per unit of volatility. If you would invest 145.00 in Standard Lithium on December 29, 2024 and sell it today you would lose (9.00) from holding Standard Lithium or give up 6.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Alpha Lithium vs. Standard Lithium
Performance |
Timeline |
Alpha Lithium |
Standard Lithium |
Alpha Lithium and Standard Lithium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alpha Lithium and Standard Lithium
The main advantage of trading using opposite Alpha Lithium and Standard Lithium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alpha Lithium position performs unexpectedly, Standard 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 Standard Lithium will offset losses from the drop in Standard Lithium's long position.Alpha Lithium vs. Winsome Resources Limited | Alpha Lithium vs. Beyond Minerals | Alpha Lithium vs. IGO Limited | Alpha Lithium vs. Qubec Nickel Corp |
Standard Lithium vs. Lithium Americas Corp | Standard Lithium vs. Piedmont Lithium Ltd | Standard Lithium vs. NioCorp Developments Ltd | Standard Lithium vs. Teck Resources Ltd |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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