Correlation Between Design Therapeutics and CEL SCI
Can any of the company-specific risk be diversified away by investing in both Design 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 Design 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 Design Therapeutics and CEL SCI Corp, you can compare the effects of market volatilities on Design 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 Design Therapeutics with a short position of CEL SCI. Check out your portfolio center. Please also check ongoing floating volatility patterns of Design Therapeutics and CEL SCI.
Diversification Opportunities for Design Therapeutics and CEL SCI
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Design and CEL is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Design 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 Design 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 Design 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 Design Therapeutics i.e., Design Therapeutics and CEL SCI go up and down completely randomly.
Pair Corralation between Design Therapeutics and CEL SCI
Given the investment horizon of 90 days Design Therapeutics is expected to generate 0.91 times more return on investment than CEL SCI. However, Design Therapeutics is 1.1 times less risky than CEL SCI. It trades about 0.04 of its potential returns per unit of risk. CEL SCI Corp is currently generating about -0.03 per unit of risk. If you would invest 654.00 in Design Therapeutics on September 30, 2024 and sell it today you would lose (29.00) from holding Design Therapeutics or give up 4.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Design Therapeutics vs. CEL SCI Corp
Performance |
Timeline |
Design Therapeutics |
CEL SCI Corp |
Design Therapeutics and CEL SCI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Design Therapeutics and CEL SCI
The main advantage of trading using opposite Design Therapeutics and CEL SCI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Design 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.The idea behind Design Therapeutics and CEL SCI Corp pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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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