Correlation Between BIONTECH and Automatic Data
Can any of the company-specific risk be diversified away by investing in both BIONTECH and Automatic Data 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 Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BIONTECH SE DRN and Automatic Data Processing, you can compare the effects of market volatilities on BIONTECH and Automatic Data 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 Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of BIONTECH and Automatic Data.
Diversification Opportunities for BIONTECH and Automatic Data
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between BIONTECH and Automatic is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding BIONTECH SE DRN and Automatic Data Processing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Automatic Data Processing 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 DRN are associated (or correlated) with Automatic Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Automatic Data Processing has no effect on the direction of BIONTECH i.e., BIONTECH and Automatic Data go up and down completely randomly.
Pair Corralation between BIONTECH and Automatic Data
Assuming the 90 days trading horizon BIONTECH SE DRN is expected to generate 1.88 times more return on investment than Automatic Data. However, BIONTECH is 1.88 times more volatile than Automatic Data Processing. It trades about 0.05 of its potential returns per unit of risk. Automatic Data Processing is currently generating about 0.09 per unit of risk. If you would invest 4,300 in BIONTECH SE DRN on September 27, 2024 and sell it today you would earn a total of 88.00 from holding BIONTECH SE DRN or generate 2.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 90.48% |
Values | Daily Returns |
BIONTECH SE DRN vs. Automatic Data Processing
Performance |
Timeline |
BIONTECH SE DRN |
Automatic Data Processing |
BIONTECH and Automatic Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BIONTECH and Automatic Data
The main advantage of trading using opposite BIONTECH and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BIONTECH position performs unexpectedly, Automatic Data 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 Automatic Data will offset losses from the drop in Automatic Data's long position.BIONTECH vs. Novo Nordisk AS | BIONTECH vs. Vertex Pharmaceuticals Incorporated | BIONTECH vs. Moderna | BIONTECH vs. BeiGene |
Automatic Data vs. N1WG34 | Automatic Data vs. Fidelity National Information | Automatic Data vs. BIONTECH SE DRN | Automatic Data vs. Toyota Motor |
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.
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