Correlation Between FuelCell Energy and Elong Power
Can any of the company-specific risk be diversified away by investing in both FuelCell Energy and Elong 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 FuelCell Energy and Elong Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FuelCell Energy and Elong Power Holding, you can compare the effects of market volatilities on FuelCell Energy and Elong 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 FuelCell Energy with a short position of Elong Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of FuelCell Energy and Elong Power.
Diversification Opportunities for FuelCell Energy and Elong Power
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between FuelCell and Elong is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding FuelCell Energy and Elong Power Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Elong Power Holding and FuelCell Energy 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 FuelCell Energy are associated (or correlated) with Elong Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Elong Power Holding has no effect on the direction of FuelCell Energy i.e., FuelCell Energy and Elong Power go up and down completely randomly.
Pair Corralation between FuelCell Energy and Elong Power
Given the investment horizon of 90 days FuelCell Energy is expected to generate 0.6 times more return on investment than Elong Power. However, FuelCell Energy is 1.68 times less risky than Elong Power. It trades about 0.35 of its potential returns per unit of risk. Elong Power Holding is currently generating about -0.37 per unit of risk. If you would invest 616.00 in FuelCell Energy on September 16, 2024 and sell it today you would earn a total of 523.00 from holding FuelCell Energy or generate 84.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
FuelCell Energy vs. Elong Power Holding
Performance |
Timeline |
FuelCell Energy |
Elong Power Holding |
FuelCell Energy and Elong Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FuelCell Energy and Elong Power
The main advantage of trading using opposite FuelCell Energy and Elong Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FuelCell Energy position performs unexpectedly, Elong 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 Elong Power will offset losses from the drop in Elong Power's long position.FuelCell Energy vs. Bloom Energy Corp | FuelCell Energy vs. Elong Power Holding | FuelCell Energy vs. Eos Energy Enterprises | FuelCell Energy vs. Sunrise New Energy |
Elong Power vs. Bloom Energy Corp | Elong Power vs. Electrovaya Common Shares | Elong Power vs. Enovix Corp | Elong Power vs. Eos Energy Enterprises |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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