Correlation Between Valneva SE and Biomarin Pharmaceutical
Can any of the company-specific risk be diversified away by investing in both Valneva SE and Biomarin Pharmaceutical 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 Valneva SE and Biomarin Pharmaceutical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Valneva SE ADR and Biomarin Pharmaceutical, you can compare the effects of market volatilities on Valneva SE and Biomarin Pharmaceutical 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 Valneva SE with a short position of Biomarin Pharmaceutical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Valneva SE and Biomarin Pharmaceutical.
Diversification Opportunities for Valneva SE and Biomarin Pharmaceutical
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Valneva and Biomarin is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Valneva SE ADR and Biomarin Pharmaceutical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Biomarin Pharmaceutical and Valneva SE 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 Valneva SE ADR are associated (or correlated) with Biomarin Pharmaceutical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Biomarin Pharmaceutical has no effect on the direction of Valneva SE i.e., Valneva SE and Biomarin Pharmaceutical go up and down completely randomly.
Pair Corralation between Valneva SE and Biomarin Pharmaceutical
Given the investment horizon of 90 days Valneva SE ADR is expected to under-perform the Biomarin Pharmaceutical. In addition to that, Valneva SE is 1.01 times more volatile than Biomarin Pharmaceutical. It trades about -0.34 of its total potential returns per unit of risk. Biomarin Pharmaceutical is currently generating about -0.18 per unit of volatility. If you would invest 9,160 in Biomarin Pharmaceutical on September 3, 2024 and sell it today you would lose (2,557) from holding Biomarin Pharmaceutical or give up 27.91% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Valneva SE ADR vs. Biomarin Pharmaceutical
Performance |
Timeline |
Valneva SE ADR |
Biomarin Pharmaceutical |
Valneva SE and Biomarin Pharmaceutical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Valneva SE and Biomarin Pharmaceutical
The main advantage of trading using opposite Valneva SE and Biomarin Pharmaceutical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Valneva SE position performs unexpectedly, Biomarin Pharmaceutical 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 Biomarin Pharmaceutical will offset losses from the drop in Biomarin Pharmaceutical's long position.Valneva SE vs. NuCana PLC | Valneva SE vs. Sage Therapeutic | Valneva SE vs. Sellas Life Sciences | Valneva SE vs. Third Harmonic Bio |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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