Correlation Between OptiNose and Collegium Pharmaceutical
Can any of the company-specific risk be diversified away by investing in both OptiNose and Collegium 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 OptiNose and Collegium Pharmaceutical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between OptiNose and Collegium Pharmaceutical, you can compare the effects of market volatilities on OptiNose and Collegium 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 OptiNose with a short position of Collegium Pharmaceutical. Check out your portfolio center. Please also check ongoing floating volatility patterns of OptiNose and Collegium Pharmaceutical.
Diversification Opportunities for OptiNose and Collegium Pharmaceutical
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between OptiNose and Collegium is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding OptiNose and Collegium Pharmaceutical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Collegium Pharmaceutical and OptiNose 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 OptiNose are associated (or correlated) with Collegium Pharmaceutical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Collegium Pharmaceutical has no effect on the direction of OptiNose i.e., OptiNose and Collegium Pharmaceutical go up and down completely randomly.
Pair Corralation between OptiNose and Collegium Pharmaceutical
Given the investment horizon of 90 days OptiNose is expected to under-perform the Collegium Pharmaceutical. In addition to that, OptiNose is 1.84 times more volatile than Collegium Pharmaceutical. It trades about -0.09 of its total potential returns per unit of risk. Collegium Pharmaceutical is currently generating about -0.02 per unit of volatility. If you would invest 3,050 in Collegium Pharmaceutical on November 28, 2024 and sell it today you would lose (131.00) from holding Collegium Pharmaceutical or give up 4.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
OptiNose vs. Collegium Pharmaceutical
Performance |
Timeline |
OptiNose |
Collegium Pharmaceutical |
OptiNose and Collegium Pharmaceutical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with OptiNose and Collegium Pharmaceutical
The main advantage of trading using opposite OptiNose and Collegium Pharmaceutical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OptiNose position performs unexpectedly, Collegium 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 Collegium Pharmaceutical will offset losses from the drop in Collegium Pharmaceutical's long position.OptiNose vs. Collegium Pharmaceutical | OptiNose vs. Phibro Animal Health | OptiNose vs. ANI Pharmaceuticals | OptiNose vs. Procaps Group SA |
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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 Valuation module to check real value of public entities based on technical and fundamental data.
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