Correlation Between BioNTech and Clean Energy
Specify exactly 2 symbols:
By analyzing existing cross correlation between BioNTech SE and Clean Energy Fuels, you can compare the effects of market volatilities on BioNTech and Clean 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 BioNTech with a short position of Clean Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of BioNTech and Clean Energy.
Diversification Opportunities for BioNTech and Clean Energy
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between BioNTech and Clean is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding BioNTech SE and Clean Energy Fuels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clean Energy Fuels and BioNTech 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 BioNTech SE are associated (or correlated) with Clean Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clean Energy Fuels has no effect on the direction of BioNTech i.e., BioNTech and Clean Energy go up and down completely randomly.
Pair Corralation between BioNTech and Clean Energy
Assuming the 90 days trading horizon BioNTech SE is expected to generate 0.48 times more return on investment than Clean Energy. However, BioNTech SE is 2.07 times less risky than Clean Energy. It trades about -0.15 of its potential returns per unit of risk. Clean Energy Fuels is currently generating about -0.15 per unit of risk. If you would invest 11,000 in BioNTech SE on December 24, 2024 and sell it today you would lose (2,160) from holding BioNTech SE or give up 19.64% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
BioNTech SE vs. Clean Energy Fuels
Performance |
Timeline |
BioNTech SE |
Clean Energy Fuels |
BioNTech and Clean Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BioNTech and Clean Energy
The main advantage of trading using opposite BioNTech and Clean Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BioNTech position performs unexpectedly, Clean 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 Clean Energy will offset losses from the drop in Clean Energy's long position.BioNTech vs. Yunnan Water Investment | BioNTech vs. STORE ELECTRONIC | BioNTech vs. Nanjing Panda Electronics | BioNTech vs. ELECTRONIC ARTS |
Clean Energy vs. Cleanaway Waste Management | Clean Energy vs. AGF Management Limited | Clean Energy vs. DATAGROUP SE | Clean Energy vs. Platinum Investment Management |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Other Complementary Tools
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios |