Correlation Between Fluence Energy and Alternus Energy
Can any of the company-specific risk be diversified away by investing in both Fluence Energy and Alternus Energy 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 Fluence Energy and Alternus Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fluence Energy and Alternus Energy Group, you can compare the effects of market volatilities on Fluence Energy and Alternus Energy 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 Fluence Energy with a short position of Alternus Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fluence Energy and Alternus Energy.
Diversification Opportunities for Fluence Energy and Alternus Energy
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Fluence and Alternus is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Fluence Energy and Alternus Energy Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alternus Energy Group and Fluence 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 Fluence Energy are associated (or correlated) with Alternus Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alternus Energy Group has no effect on the direction of Fluence Energy i.e., Fluence Energy and Alternus Energy go up and down completely randomly.
Pair Corralation between Fluence Energy and Alternus Energy
Given the investment horizon of 90 days Fluence Energy is expected to generate 1.35 times more return on investment than Alternus Energy. However, Fluence Energy is 1.35 times more volatile than Alternus Energy Group. It trades about 0.0 of its potential returns per unit of risk. Alternus Energy Group is currently generating about -0.02 per unit of risk. If you would invest 2,199 in Fluence Energy on October 2, 2024 and sell it today you would lose (557.00) from holding Fluence Energy or give up 25.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fluence Energy vs. Alternus Energy Group
Performance |
Timeline |
Fluence Energy |
Alternus Energy Group |
Fluence Energy and Alternus Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fluence Energy and Alternus Energy
The main advantage of trading using opposite Fluence Energy and Alternus Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fluence Energy position performs unexpectedly, Alternus Energy 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 Alternus Energy will offset losses from the drop in Alternus Energy's long position.Fluence Energy vs. Altus Power | Fluence Energy vs. Ormat Technologies | Fluence Energy vs. Enlight Renewable Energy | Fluence Energy vs. Advent Technologies Holdings |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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