Correlation Between BioNTech and CONAGRA FOODS
Specify exactly 2 symbols:
By analyzing existing cross correlation between BioNTech SE and CONAGRA FOODS, you can compare the effects of market volatilities on BioNTech and CONAGRA FOODS 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 CONAGRA FOODS. Check out your portfolio center. Please also check ongoing floating volatility patterns of BioNTech and CONAGRA FOODS.
Diversification Opportunities for BioNTech and CONAGRA FOODS
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between BioNTech and CONAGRA is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding BioNTech SE and CONAGRA FOODS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CONAGRA FOODS 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 CONAGRA FOODS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CONAGRA FOODS has no effect on the direction of BioNTech i.e., BioNTech and CONAGRA FOODS go up and down completely randomly.
Pair Corralation between BioNTech and CONAGRA FOODS
Assuming the 90 days trading horizon BioNTech SE is expected to generate 1.99 times more return on investment than CONAGRA FOODS. However, BioNTech is 1.99 times more volatile than CONAGRA FOODS. It trades about 0.0 of its potential returns per unit of risk. CONAGRA FOODS is currently generating about -0.03 per unit of risk. If you would invest 13,335 in BioNTech SE on October 25, 2024 and sell it today you would lose (2,335) from holding BioNTech SE or give up 17.51% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BioNTech SE vs. CONAGRA FOODS
Performance |
Timeline |
BioNTech SE |
CONAGRA FOODS |
BioNTech and CONAGRA FOODS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BioNTech and CONAGRA FOODS
The main advantage of trading using opposite BioNTech and CONAGRA FOODS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BioNTech position performs unexpectedly, CONAGRA FOODS 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 CONAGRA FOODS will offset losses from the drop in CONAGRA FOODS's long position.BioNTech vs. METTLER TOLEDO INTL | BioNTech vs. LODESTAR MIN | BioNTech vs. Carmat SA | BioNTech vs. Air Canada |
CONAGRA FOODS vs. Apple Inc | CONAGRA FOODS vs. Apple Inc | CONAGRA FOODS vs. Apple Inc | CONAGRA FOODS vs. Apple Inc |
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 Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Other Complementary Tools
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity |