Correlation Between BioNTech and Amgen
Can any of the company-specific risk be diversified away by investing in both BioNTech and Amgen 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 BioNTech and Amgen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BioNTech SE and Amgen Inc, you can compare the effects of market volatilities on BioNTech and Amgen 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 Amgen. Check out your portfolio center. Please also check ongoing floating volatility patterns of BioNTech and Amgen.
Diversification Opportunities for BioNTech and Amgen
Good diversification
The 3 months correlation between BioNTech and Amgen is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding BioNTech SE and Amgen Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amgen Inc 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 Amgen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amgen Inc has no effect on the direction of BioNTech i.e., BioNTech and Amgen go up and down completely randomly.
Pair Corralation between BioNTech and Amgen
Given the investment horizon of 90 days BioNTech SE is expected to generate 2.23 times more return on investment than Amgen. However, BioNTech is 2.23 times more volatile than Amgen Inc. It trades about 0.14 of its potential returns per unit of risk. Amgen Inc is currently generating about -0.13 per unit of risk. If you would invest 8,800 in BioNTech SE on September 2, 2024 and sell it today you would earn a total of 3,039 from holding BioNTech SE or generate 34.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BioNTech SE vs. Amgen Inc
Performance |
Timeline |
BioNTech SE |
Amgen Inc |
BioNTech and Amgen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BioNTech and Amgen
The main advantage of trading using opposite BioNTech and Amgen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BioNTech position performs unexpectedly, Amgen 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 Amgen will offset losses from the drop in Amgen's long position.BioNTech vs. Novavax | BioNTech vs. Ginkgo Bioworks Holdings | BioNTech vs. Crispr Therapeutics AG | BioNTech vs. Ocean Biomedical |
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 CEOs Directory module to screen CEOs from public companies around the world.
Other Complementary Tools
Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
FinTech Suite Use AI to screen and filter profitable investment opportunities | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data |