Correlation Between Eterna Therapeutics and Legend Biotech
Can any of the company-specific risk be diversified away by investing in both Eterna Therapeutics and Legend Biotech 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 Eterna Therapeutics and Legend Biotech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eterna Therapeutics and Legend Biotech Corp, you can compare the effects of market volatilities on Eterna Therapeutics and Legend Biotech 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 Eterna Therapeutics with a short position of Legend Biotech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eterna Therapeutics and Legend Biotech.
Diversification Opportunities for Eterna Therapeutics and Legend Biotech
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Eterna and Legend is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Eterna Therapeutics and Legend Biotech Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Legend Biotech Corp and Eterna 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 Eterna Therapeutics are associated (or correlated) with Legend Biotech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Legend Biotech Corp has no effect on the direction of Eterna Therapeutics i.e., Eterna Therapeutics and Legend Biotech go up and down completely randomly.
Pair Corralation between Eterna Therapeutics and Legend Biotech
Given the investment horizon of 90 days Eterna Therapeutics is expected to under-perform the Legend Biotech. In addition to that, Eterna Therapeutics is 2.47 times more volatile than Legend Biotech Corp. It trades about -0.28 of its total potential returns per unit of risk. Legend Biotech Corp is currently generating about -0.13 per unit of volatility. If you would invest 5,072 in Legend Biotech Corp on September 12, 2024 and sell it today you would lose (1,282) from holding Legend Biotech Corp or give up 25.28% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Eterna Therapeutics vs. Legend Biotech Corp
Performance |
Timeline |
Eterna Therapeutics |
Legend Biotech Corp |
Eterna Therapeutics and Legend Biotech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eterna Therapeutics and Legend Biotech
The main advantage of trading using opposite Eterna Therapeutics and Legend Biotech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eterna Therapeutics position performs unexpectedly, Legend Biotech 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 Legend Biotech will offset losses from the drop in Legend Biotech's long position.Eterna Therapeutics vs. Equillium | Eterna Therapeutics vs. DiaMedica Therapeutics | Eterna Therapeutics vs. Valneva SE ADR | Eterna Therapeutics vs. Vivani Medical |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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