Correlation Between Lithium Ionic and Surge Battery
Can any of the company-specific risk be diversified away by investing in both Lithium Ionic and Surge Battery 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 Surge Battery 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 Surge Battery Metals, you can compare the effects of market volatilities on Lithium Ionic and Surge Battery 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 Surge Battery. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lithium Ionic and Surge Battery.
Diversification Opportunities for Lithium Ionic and Surge Battery
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Lithium and Surge is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Lithium Ionic Corp and Surge Battery Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Surge Battery Metals 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 Surge Battery. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Surge Battery Metals has no effect on the direction of Lithium Ionic i.e., Lithium Ionic and Surge Battery go up and down completely randomly.
Pair Corralation between Lithium Ionic and Surge Battery
Assuming the 90 days horizon Lithium Ionic Corp is expected to generate 1.31 times more return on investment than Surge Battery. However, Lithium Ionic is 1.31 times more volatile than Surge Battery Metals. It trades about 0.03 of its potential returns per unit of risk. Surge Battery Metals is currently generating about 0.01 per unit of risk. If you would invest 62.00 in Lithium Ionic Corp on September 3, 2024 and sell it today you would earn a total of 2.00 from holding Lithium Ionic Corp or generate 3.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lithium Ionic Corp vs. Surge Battery Metals
Performance |
Timeline |
Lithium Ionic Corp |
Surge Battery Metals |
Lithium Ionic and Surge Battery Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lithium Ionic and Surge Battery
The main advantage of trading using opposite Lithium Ionic and Surge Battery positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lithium Ionic position performs unexpectedly, Surge Battery 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 Surge Battery will offset losses from the drop in Surge Battery'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 |
Surge Battery vs. Nevada Sunrise Gold | Surge Battery vs. Critical Elements | Surge Battery vs. Lithium Ionic Corp | Surge Battery vs. Green Technology Metals |
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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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