Correlation Between Gossamer Bio and CytomX Therapeutics
Can any of the company-specific risk be diversified away by investing in both Gossamer Bio and CytomX Therapeutics 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 Gossamer Bio and CytomX Therapeutics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gossamer Bio and CytomX Therapeutics, you can compare the effects of market volatilities on Gossamer Bio and CytomX Therapeutics 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 Gossamer Bio with a short position of CytomX Therapeutics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gossamer Bio and CytomX Therapeutics.
Diversification Opportunities for Gossamer Bio and CytomX Therapeutics
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between Gossamer and CytomX is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Gossamer Bio and CytomX Therapeutics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CytomX Therapeutics and Gossamer Bio 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 Gossamer Bio are associated (or correlated) with CytomX Therapeutics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CytomX Therapeutics has no effect on the direction of Gossamer Bio i.e., Gossamer Bio and CytomX Therapeutics go up and down completely randomly.
Pair Corralation between Gossamer Bio and CytomX Therapeutics
Given the investment horizon of 90 days Gossamer Bio is expected to generate 2.76 times less return on investment than CytomX Therapeutics. But when comparing it to its historical volatility, Gossamer Bio is 3.61 times less risky than CytomX Therapeutics. It trades about 0.18 of its potential returns per unit of risk. CytomX Therapeutics is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 96.00 in CytomX Therapeutics on May 4, 2025 and sell it today you would earn a total of 139.00 from holding CytomX Therapeutics or generate 144.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
Gossamer Bio vs. CytomX Therapeutics
Performance |
Timeline |
Gossamer Bio |
CytomX Therapeutics |
Gossamer Bio and CytomX Therapeutics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gossamer Bio and CytomX Therapeutics
The main advantage of trading using opposite Gossamer Bio and CytomX Therapeutics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gossamer Bio position performs unexpectedly, CytomX Therapeutics 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 CytomX Therapeutics will offset losses from the drop in CytomX Therapeutics' long position.Gossamer Bio vs. Cabaletta Bio | Gossamer Bio vs. Larimar Therapeutics | Gossamer Bio vs. Q32 Bio | Gossamer Bio vs. Day One Biopharmaceuticals |
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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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