Correlation Between Neoen SA and Hydrogen Refueling
Can any of the company-specific risk be diversified away by investing in both Neoen SA and Hydrogen Refueling 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 Neoen SA and Hydrogen Refueling into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Neoen SA and Hydrogen Refueling Solutions, you can compare the effects of market volatilities on Neoen SA and Hydrogen Refueling 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 Neoen SA with a short position of Hydrogen Refueling. Check out your portfolio center. Please also check ongoing floating volatility patterns of Neoen SA and Hydrogen Refueling.
Diversification Opportunities for Neoen SA and Hydrogen Refueling
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Neoen and Hydrogen is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding Neoen SA and Hydrogen Refueling Solutions in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hydrogen Refueling and Neoen SA 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 Neoen SA are associated (or correlated) with Hydrogen Refueling. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hydrogen Refueling has no effect on the direction of Neoen SA i.e., Neoen SA and Hydrogen Refueling go up and down completely randomly.
Pair Corralation between Neoen SA and Hydrogen Refueling
Assuming the 90 days trading horizon Neoen SA is expected to generate 0.05 times more return on investment than Hydrogen Refueling. However, Neoen SA is 19.62 times less risky than Hydrogen Refueling. It trades about 0.11 of its potential returns per unit of risk. Hydrogen Refueling Solutions is currently generating about -0.34 per unit of risk. If you would invest 3,941 in Neoen SA on September 2, 2024 and sell it today you would earn a total of 13.00 from holding Neoen SA or generate 0.33% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Neoen SA vs. Hydrogen Refueling Solutions
Performance |
| Timeline |
| Neoen SA |
| Hydrogen Refueling |
Neoen SA and Hydrogen Refueling Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Neoen SA and Hydrogen Refueling
The main advantage of trading using opposite Neoen SA and Hydrogen Refueling positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Neoen SA position performs unexpectedly, Hydrogen Refueling 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 Hydrogen Refueling will offset losses from the drop in Hydrogen Refueling's long position.| Neoen SA vs. Voltalia SA | Neoen SA vs. Gaztransport Technigaz SAS | Neoen SA vs. Worldline SA | Neoen SA vs. Rubis SCA |
| Hydrogen Refueling vs. Hydrogene De France | Hydrogen Refueling vs. Neoen SA | Hydrogen Refueling vs. Voltalia SA | Hydrogen Refueling vs. OVH Groupe SAS |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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