Correlation Between Aclaris Therapeutics and Sera Prognostics
Can any of the company-specific risk be diversified away by investing in both Aclaris Therapeutics and Sera Prognostics 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 Aclaris Therapeutics and Sera Prognostics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aclaris Therapeutics and Sera Prognostics, you can compare the effects of market volatilities on Aclaris Therapeutics and Sera Prognostics 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 Aclaris Therapeutics with a short position of Sera Prognostics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aclaris Therapeutics and Sera Prognostics.
Diversification Opportunities for Aclaris Therapeutics and Sera Prognostics
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Aclaris and Sera is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Aclaris Therapeutics and Sera Prognostics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sera Prognostics and Aclaris Therapeutics 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 Aclaris Therapeutics are associated (or correlated) with Sera Prognostics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sera Prognostics has no effect on the direction of Aclaris Therapeutics i.e., Aclaris Therapeutics and Sera Prognostics go up and down completely randomly.
Pair Corralation between Aclaris Therapeutics and Sera Prognostics
Given the investment horizon of 90 days Aclaris Therapeutics is expected to generate 0.62 times more return on investment than Sera Prognostics. However, Aclaris Therapeutics is 1.62 times less risky than Sera Prognostics. It trades about -0.22 of its potential returns per unit of risk. Sera Prognostics is currently generating about -0.26 per unit of risk. If you would invest 248.00 in Aclaris Therapeutics on December 28, 2024 and sell it today you would lose (89.00) from holding Aclaris Therapeutics or give up 35.89% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Aclaris Therapeutics vs. Sera Prognostics
Performance |
Timeline |
Aclaris Therapeutics |
Sera Prognostics |
Aclaris Therapeutics and Sera Prognostics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aclaris Therapeutics and Sera Prognostics
The main advantage of trading using opposite Aclaris Therapeutics and Sera Prognostics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aclaris Therapeutics position performs unexpectedly, Sera Prognostics 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 Sera Prognostics will offset losses from the drop in Sera Prognostics' long position.Aclaris Therapeutics vs. Neogen | Aclaris Therapeutics vs. Qiagen NV | Aclaris Therapeutics vs. Sotera Health Co | Aclaris Therapeutics vs. RadNet Inc |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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