Correlation Between Cidara Therapeutics and Cue Biopharma
Can any of the company-specific risk be diversified away by investing in both Cidara Therapeutics and Cue Biopharma 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 Cidara Therapeutics and Cue Biopharma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cidara Therapeutics and Cue Biopharma, you can compare the effects of market volatilities on Cidara Therapeutics and Cue Biopharma 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 Cidara Therapeutics with a short position of Cue Biopharma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cidara Therapeutics and Cue Biopharma.
Diversification Opportunities for Cidara Therapeutics and Cue Biopharma
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Cidara and Cue is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Cidara Therapeutics and Cue Biopharma in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cue Biopharma and Cidara 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 Cidara Therapeutics are associated (or correlated) with Cue Biopharma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cue Biopharma has no effect on the direction of Cidara Therapeutics i.e., Cidara Therapeutics and Cue Biopharma go up and down completely randomly.
Pair Corralation between Cidara Therapeutics and Cue Biopharma
Given the investment horizon of 90 days Cidara Therapeutics is expected to generate 1.64 times less return on investment than Cue Biopharma. But when comparing it to its historical volatility, Cidara Therapeutics is 2.86 times less risky than Cue Biopharma. It trades about 0.23 of its potential returns per unit of risk. Cue Biopharma is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 66.00 in Cue Biopharma on August 31, 2024 and sell it today you would earn a total of 56.00 from holding Cue Biopharma or generate 84.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Cidara Therapeutics vs. Cue Biopharma
Performance |
Timeline |
Cidara Therapeutics |
Cue Biopharma |
Cidara Therapeutics and Cue Biopharma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cidara Therapeutics and Cue Biopharma
The main advantage of trading using opposite Cidara Therapeutics and Cue Biopharma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cidara Therapeutics position performs unexpectedly, Cue Biopharma 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 Cue Biopharma will offset losses from the drop in Cue Biopharma's long position.Cidara Therapeutics vs. Cue Biopharma | Cidara Therapeutics vs. Tff Pharmaceuticals | Cidara Therapeutics vs. Eliem Therapeutics | Cidara Therapeutics vs. Inhibrx |
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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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