Correlation Between BioNTech and Willamette Valley
Can any of the company-specific risk be diversified away by investing in both BioNTech and Willamette Valley 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 Willamette Valley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BioNTech SE and Willamette Valley Vineyards, you can compare the effects of market volatilities on BioNTech and Willamette Valley 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 Willamette Valley. Check out your portfolio center. Please also check ongoing floating volatility patterns of BioNTech and Willamette Valley.
Diversification Opportunities for BioNTech and Willamette Valley
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between BioNTech and Willamette is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding BioNTech SE and Willamette Valley Vineyards in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Willamette Valley 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 Willamette Valley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Willamette Valley has no effect on the direction of BioNTech i.e., BioNTech and Willamette Valley go up and down completely randomly.
Pair Corralation between BioNTech and Willamette Valley
Given the investment horizon of 90 days BioNTech SE is expected to generate 3.32 times more return on investment than Willamette Valley. However, BioNTech is 3.32 times more volatile than Willamette Valley Vineyards. It trades about 0.08 of its potential returns per unit of risk. Willamette Valley Vineyards is currently generating about -0.13 per unit of risk. If you would invest 11,310 in BioNTech SE on September 1, 2024 and sell it today you would earn a total of 529.00 from holding BioNTech SE or generate 4.68% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
BioNTech SE vs. Willamette Valley Vineyards
Performance |
| Timeline |
| BioNTech SE |
| Willamette Valley |
BioNTech and Willamette Valley Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with BioNTech and Willamette Valley
The main advantage of trading using opposite BioNTech and Willamette Valley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BioNTech position performs unexpectedly, Willamette Valley 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 Willamette Valley will offset losses from the drop in Willamette Valley's long position.| BioNTech vs. Novavax | BioNTech vs. Ginkgo Bioworks Holdings | BioNTech vs. Crispr Therapeutics AG | BioNTech vs. Ocean Biomedical |
| Willamette Valley vs. Naked Wines plc | Willamette Valley vs. Andrew Peller Limited | Willamette Valley vs. Iconic Brands | Willamette Valley vs. Naked Wines plc |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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