Correlation Between Evotec SE and Supernus Pharmaceuticals
Can any of the company-specific risk be diversified away by investing in both Evotec SE and Supernus Pharmaceuticals 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 Evotec SE and Supernus Pharmaceuticals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Evotec SE ADR and Supernus Pharmaceuticals, you can compare the effects of market volatilities on Evotec SE and Supernus Pharmaceuticals 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 Evotec SE with a short position of Supernus Pharmaceuticals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Evotec SE and Supernus Pharmaceuticals.
Diversification Opportunities for Evotec SE and Supernus Pharmaceuticals
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Evotec and Supernus is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Evotec SE ADR and Supernus Pharmaceuticals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Supernus Pharmaceuticals and Evotec 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 Evotec SE ADR are associated (or correlated) with Supernus Pharmaceuticals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Supernus Pharmaceuticals has no effect on the direction of Evotec SE i.e., Evotec SE and Supernus Pharmaceuticals go up and down completely randomly.
Pair Corralation between Evotec SE and Supernus Pharmaceuticals
Considering the 90-day investment horizon Evotec SE ADR is expected to under-perform the Supernus Pharmaceuticals. In addition to that, Evotec SE is 1.11 times more volatile than Supernus Pharmaceuticals. It trades about -0.14 of its total potential returns per unit of risk. Supernus Pharmaceuticals is currently generating about -0.07 per unit of volatility. If you would invest 3,691 in Supernus Pharmaceuticals on December 29, 2024 and sell it today you would lose (462.00) from holding Supernus Pharmaceuticals or give up 12.52% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Evotec SE ADR vs. Supernus Pharmaceuticals
Performance |
Timeline |
Evotec SE ADR |
Supernus Pharmaceuticals |
Evotec SE and Supernus Pharmaceuticals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Evotec SE and Supernus Pharmaceuticals
The main advantage of trading using opposite Evotec SE and Supernus Pharmaceuticals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Evotec SE position performs unexpectedly, Supernus Pharmaceuticals 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 Supernus Pharmaceuticals will offset losses from the drop in Supernus Pharmaceuticals' long position.Evotec SE vs. Prestige Brand Holdings | Evotec SE vs. Supernus Pharmaceuticals | Evotec SE vs. Collegium Pharmaceutical | Evotec SE vs. ANI Pharmaceuticals |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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