Correlation Between Sensirion Holding and Medartis Holding
Can any of the company-specific risk be diversified away by investing in both Sensirion Holding and Medartis Holding 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 Sensirion Holding and Medartis Holding into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sensirion Holding AG and Medartis Holding AG, you can compare the effects of market volatilities on Sensirion Holding and Medartis Holding 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 Sensirion Holding with a short position of Medartis Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sensirion Holding and Medartis Holding.
Diversification Opportunities for Sensirion Holding and Medartis Holding
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sensirion and Medartis is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Sensirion Holding AG and Medartis Holding AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Medartis Holding and Sensirion Holding 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 Sensirion Holding AG are associated (or correlated) with Medartis Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Medartis Holding has no effect on the direction of Sensirion Holding i.e., Sensirion Holding and Medartis Holding go up and down completely randomly.
Pair Corralation between Sensirion Holding and Medartis Holding
Assuming the 90 days trading horizon Sensirion Holding AG is expected to under-perform the Medartis Holding. In addition to that, Sensirion Holding is 1.04 times more volatile than Medartis Holding AG. It trades about -0.04 of its total potential returns per unit of risk. Medartis Holding AG is currently generating about -0.02 per unit of volatility. If you would invest 5,790 in Medartis Holding AG on September 16, 2024 and sell it today you would lose (340.00) from holding Medartis Holding AG or give up 5.87% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sensirion Holding AG vs. Medartis Holding AG
Performance |
Timeline |
Sensirion Holding |
Medartis Holding |
Sensirion Holding and Medartis Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sensirion Holding and Medartis Holding
The main advantage of trading using opposite Sensirion Holding and Medartis Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sensirion Holding position performs unexpectedly, Medartis Holding 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 Medartis Holding will offset losses from the drop in Medartis Holding's long position.Sensirion Holding vs. VAT Group AG | Sensirion Holding vs. Comet Holding AG | Sensirion Holding vs. Bachem Holding AG | Sensirion Holding vs. U Blox Holding |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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