Correlation Between SEI Investments and Collegium Pharmaceutical
Can any of the company-specific risk be diversified away by investing in both SEI Investments 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 SEI Investments and Collegium Pharmaceutical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SEI Investments and Collegium Pharmaceutical, you can compare the effects of market volatilities on SEI Investments 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 SEI Investments with a short position of Collegium Pharmaceutical. Check out your portfolio center. Please also check ongoing floating volatility patterns of SEI Investments and Collegium Pharmaceutical.
Diversification Opportunities for SEI Investments and Collegium Pharmaceutical
-0.92 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between SEI and Collegium is -0.92. Overlapping area represents the amount of risk that can be diversified away by holding SEI Investments and Collegium Pharmaceutical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Collegium Pharmaceutical and SEI Investments 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 SEI Investments 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 SEI Investments i.e., SEI Investments and Collegium Pharmaceutical go up and down completely randomly.
Pair Corralation between SEI Investments and Collegium Pharmaceutical
Given the investment horizon of 90 days SEI Investments is expected to generate 0.65 times more return on investment than Collegium Pharmaceutical. However, SEI Investments is 1.54 times less risky than Collegium Pharmaceutical. It trades about 0.21 of its potential returns per unit of risk. Collegium Pharmaceutical is currently generating about -0.24 per unit of risk. If you would invest 6,928 in SEI Investments on October 5, 2024 and sell it today you would earn a total of 1,320 from holding SEI Investments or generate 19.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
SEI Investments vs. Collegium Pharmaceutical
Performance |
Timeline |
SEI Investments |
Collegium Pharmaceutical |
SEI Investments and Collegium Pharmaceutical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SEI Investments and Collegium Pharmaceutical
The main advantage of trading using opposite SEI Investments and Collegium Pharmaceutical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SEI Investments 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.SEI Investments vs. Commerce Bancshares | SEI Investments vs. RLI Corp | SEI Investments vs. Westamerica Bancorporation | SEI Investments vs. Brown Brown |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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