Correlation Between Inhibrx and Eterna Therapeutics
Can any of the company-specific risk be diversified away by investing in both Inhibrx and Eterna 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 Inhibrx and Eterna Therapeutics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inhibrx and Eterna Therapeutics, you can compare the effects of market volatilities on Inhibrx and Eterna 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 Inhibrx with a short position of Eterna Therapeutics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inhibrx and Eterna Therapeutics.
Diversification Opportunities for Inhibrx and Eterna Therapeutics
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Inhibrx and Eterna is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Inhibrx and Eterna Therapeutics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eterna Therapeutics and Inhibrx 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 Inhibrx are associated (or correlated) with Eterna Therapeutics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eterna Therapeutics has no effect on the direction of Inhibrx i.e., Inhibrx and Eterna Therapeutics go up and down completely randomly.
Pair Corralation between Inhibrx and Eterna Therapeutics
Given the investment horizon of 90 days Inhibrx is expected to generate 0.51 times more return on investment than Eterna Therapeutics. However, Inhibrx is 1.97 times less risky than Eterna Therapeutics. It trades about -0.05 of its potential returns per unit of risk. Eterna Therapeutics is currently generating about -0.63 per unit of risk. If you would invest 1,603 in Inhibrx on September 1, 2024 and sell it today you would lose (77.00) from holding Inhibrx or give up 4.8% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Inhibrx vs. Eterna Therapeutics
Performance |
| Timeline |
| Inhibrx |
| Eterna Therapeutics |
Inhibrx and Eterna Therapeutics Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Inhibrx and Eterna Therapeutics
The main advantage of trading using opposite Inhibrx and Eterna Therapeutics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inhibrx position performs unexpectedly, Eterna 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 Eterna Therapeutics will offset losses from the drop in Eterna Therapeutics' long position.| Inhibrx vs. Crinetics Pharmaceuticals | Inhibrx vs. Merus BV | Inhibrx vs. Lyell Immunopharma | Inhibrx vs. Kronos Bio |
| Eterna Therapeutics vs. Tff Pharmaceuticals | Eterna Therapeutics vs. Eliem Therapeutics | Eterna Therapeutics vs. Inhibrx | Eterna Therapeutics vs. Enliven 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 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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