Correlation Between Aeva Technologies, and Solid Power
Can any of the company-specific risk be diversified away by investing in both Aeva Technologies, 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 Aeva Technologies, and Solid Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aeva Technologies, Common and Solid Power, you can compare the effects of market volatilities on Aeva Technologies, 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 Aeva Technologies, with a short position of Solid Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aeva Technologies, and Solid Power.
Diversification Opportunities for Aeva Technologies, and Solid Power
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Aeva and Solid is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Aeva Technologies, Common and Solid Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Solid Power and Aeva Technologies, 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 Aeva Technologies, Common 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 Aeva Technologies, i.e., Aeva Technologies, and Solid Power go up and down completely randomly.
Pair Corralation between Aeva Technologies, and Solid Power
Given the investment horizon of 90 days Aeva Technologies, Common is expected to generate 1.59 times more return on investment than Solid Power. However, Aeva Technologies, is 1.59 times more volatile than Solid Power. It trades about 0.08 of its potential returns per unit of risk. Solid Power is currently generating about -0.24 per unit of risk. If you would invest 477.00 in Aeva Technologies, Common on December 27, 2024 and sell it today you would earn a total of 103.00 from holding Aeva Technologies, Common or generate 21.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Aeva Technologies, Common vs. Solid Power
Performance |
Timeline |
Aeva Technologies, Common |
Solid Power |
Aeva Technologies, and Solid Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aeva Technologies, and Solid Power
The main advantage of trading using opposite Aeva Technologies, and Solid Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aeva Technologies, 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.Aeva Technologies, vs. Innoviz Technologies | Aeva Technologies, vs. Hesai Group American | Aeva Technologies, vs. Luminar Technologies | Aeva Technologies, vs. Aeye Inc |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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