Correlation Between Celldex Therapeutics and CEL SCI
Can any of the company-specific risk be diversified away by investing in both Celldex Therapeutics and CEL SCI 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 Celldex Therapeutics and CEL SCI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Celldex Therapeutics and CEL SCI Corp, you can compare the effects of market volatilities on Celldex Therapeutics and CEL SCI 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 Celldex Therapeutics with a short position of CEL SCI. Check out your portfolio center. Please also check ongoing floating volatility patterns of Celldex Therapeutics and CEL SCI.
Diversification Opportunities for Celldex Therapeutics and CEL SCI
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Celldex and CEL is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Celldex Therapeutics and CEL SCI Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CEL SCI Corp and Celldex 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 Celldex Therapeutics are associated (or correlated) with CEL SCI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CEL SCI Corp has no effect on the direction of Celldex Therapeutics i.e., Celldex Therapeutics and CEL SCI go up and down completely randomly.
Pair Corralation between Celldex Therapeutics and CEL SCI
Given the investment horizon of 90 days Celldex Therapeutics is expected to generate 0.87 times more return on investment than CEL SCI. However, Celldex Therapeutics is 1.15 times less risky than CEL SCI. It trades about -0.11 of its potential returns per unit of risk. CEL SCI Corp is currently generating about -0.17 per unit of risk. If you would invest 3,847 in Celldex Therapeutics on August 28, 2024 and sell it today you would lose (1,033) from holding Celldex Therapeutics or give up 26.85% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Celldex Therapeutics vs. CEL SCI Corp
Performance |
| Timeline |
| Celldex Therapeutics |
| CEL SCI Corp |
Celldex Therapeutics and CEL SCI Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Celldex Therapeutics and CEL SCI
The main advantage of trading using opposite Celldex Therapeutics and CEL SCI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Celldex Therapeutics position performs unexpectedly, CEL SCI 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 CEL SCI will offset losses from the drop in CEL SCI's long position.| Celldex Therapeutics vs. Ideaya Biosciences | Celldex Therapeutics vs. AnaptysBio | Celldex Therapeutics vs. MeiraGTx Holdings PLC | Celldex Therapeutics vs. Keros Therapeutics |
| CEL SCI vs. Eliem Therapeutics | CEL SCI vs. Scpharmaceuticals | CEL SCI vs. Milestone Pharmaceuticals | CEL SCI vs. Seres Therapeutics |
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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