Correlation Between LiCycle Holdings and Solid Power
Can any of the company-specific risk be diversified away by investing in both LiCycle Holdings and Solid Power 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 LiCycle Holdings and Solid Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LiCycle Holdings Corp and Solid Power, you can compare the effects of market volatilities on LiCycle Holdings and Solid Power 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 LiCycle Holdings with a short position of Solid Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of LiCycle Holdings and Solid Power.
Diversification Opportunities for LiCycle Holdings and Solid Power
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between LiCycle and Solid is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding LiCycle Holdings Corp and Solid Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Solid Power and LiCycle Holdings 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 LiCycle Holdings Corp are associated (or correlated) with Solid Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Solid Power has no effect on the direction of LiCycle Holdings i.e., LiCycle Holdings and Solid Power go up and down completely randomly.
Pair Corralation between LiCycle Holdings and Solid Power
Given the investment horizon of 90 days LiCycle Holdings Corp is expected to under-perform the Solid Power. In addition to that, LiCycle Holdings is 1.94 times more volatile than Solid Power. It trades about -0.19 of its total potential returns per unit of risk. Solid Power is currently generating about -0.24 per unit of volatility. If you would invest 214.00 in Solid Power on December 29, 2024 and sell it today you would lose (106.00) from holding Solid Power or give up 49.53% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 65.57% |
Values | Daily Returns |
LiCycle Holdings Corp vs. Solid Power
Performance |
Timeline |
LiCycle Holdings Corp |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
Solid Power |
LiCycle Holdings and Solid Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LiCycle Holdings and Solid Power
The main advantage of trading using opposite LiCycle Holdings and Solid Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LiCycle Holdings position performs unexpectedly, Solid Power 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 Solid Power will offset losses from the drop in Solid Power's long position.LiCycle Holdings vs. Casella Waste Systems | LiCycle Holdings vs. Perma Fix Environmental Svcs | LiCycle Holdings vs. Montrose Environmental Grp | LiCycle Holdings vs. LanzaTech Global |
Solid Power vs. Plug Power | Solid Power vs. FREYR Battery SA | Solid Power vs. FuelCell Energy | Solid Power vs. Enovix Corp |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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