Correlation Between Applovin Corp and Lithium One
Can any of the company-specific risk be diversified away by investing in both Applovin Corp and Lithium One 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 Applovin Corp and Lithium One into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applovin Corp and Lithium One Metals, you can compare the effects of market volatilities on Applovin Corp and Lithium One 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 Applovin Corp with a short position of Lithium One. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applovin Corp and Lithium One.
Diversification Opportunities for Applovin Corp and Lithium One
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Applovin and Lithium is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Applovin Corp and Lithium One Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lithium One Metals and Applovin Corp 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 Applovin Corp are associated (or correlated) with Lithium One. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lithium One Metals has no effect on the direction of Applovin Corp i.e., Applovin Corp and Lithium One go up and down completely randomly.
Pair Corralation between Applovin Corp and Lithium One
Considering the 90-day investment horizon Applovin Corp is expected to generate 0.87 times more return on investment than Lithium One. However, Applovin Corp is 1.14 times less risky than Lithium One. It trades about 0.37 of its potential returns per unit of risk. Lithium One Metals is currently generating about -0.07 per unit of risk. If you would invest 16,353 in Applovin Corp on September 2, 2024 and sell it today you would earn a total of 17,322 from holding Applovin Corp or generate 105.93% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Applovin Corp vs. Lithium One Metals
Performance |
| Timeline |
| Applovin Corp |
| Lithium One Metals |
Applovin Corp and Lithium One Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Applovin Corp and Lithium One
The main advantage of trading using opposite Applovin Corp and Lithium One positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applovin Corp position performs unexpectedly, Lithium One 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 Lithium One will offset losses from the drop in Lithium One's long position.| Applovin Corp vs. Ke Holdings | Applovin Corp vs. nCino Inc | Applovin Corp vs. Kingsoft Cloud Holdings | Applovin Corp vs. Jfrog |
| Lithium One vs. SunLink Health Systems | Lithium One vs. Capital Clean Energy | Lithium One vs. National Vision Holdings | Lithium One vs. SkyWest |
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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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