Correlation Between H2O Retailing and BioNTech
Specify exactly 2 symbols:
By analyzing existing cross correlation between H2O Retailing and BioNTech SE, you can compare the effects of market volatilities on H2O Retailing and BioNTech 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 H2O Retailing with a short position of BioNTech. Check out your portfolio center. Please also check ongoing floating volatility patterns of H2O Retailing and BioNTech.
Diversification Opportunities for H2O Retailing and BioNTech
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between H2O and BioNTech is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding H2O Retailing and BioNTech SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BioNTech SE and H2O Retailing 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 H2O Retailing are associated (or correlated) with BioNTech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BioNTech SE has no effect on the direction of H2O Retailing i.e., H2O Retailing and BioNTech go up and down completely randomly.
Pair Corralation between H2O Retailing and BioNTech
Assuming the 90 days horizon H2O Retailing is expected to generate 0.77 times more return on investment than BioNTech. However, H2O Retailing is 1.29 times less risky than BioNTech. It trades about 0.06 of its potential returns per unit of risk. BioNTech SE is currently generating about -0.14 per unit of risk. If you would invest 1,340 in H2O Retailing on December 23, 2024 and sell it today you would earn a total of 70.00 from holding H2O Retailing or generate 5.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
H2O Retailing vs. BioNTech SE
Performance |
Timeline |
H2O Retailing |
BioNTech SE |
H2O Retailing and BioNTech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with H2O Retailing and BioNTech
The main advantage of trading using opposite H2O Retailing and BioNTech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if H2O Retailing position performs unexpectedly, BioNTech 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 BioNTech will offset losses from the drop in BioNTech's long position.H2O Retailing vs. Southern Cross Media | H2O Retailing vs. Firan Technology Group | H2O Retailing vs. GigaMedia | H2O Retailing vs. Media and Games |
BioNTech vs. Direct Line Insurance | BioNTech vs. UNITED INTERNET N | BioNTech vs. Universal Insurance Holdings | BioNTech vs. VIENNA INSURANCE GR |
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 Transaction History module to view history of all your transactions and understand their impact on performance.
Other Complementary Tools
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories |