Correlation Between Lyell Immunopharma and Passage Bio
Can any of the company-specific risk be diversified away by investing in both Lyell Immunopharma and Passage Bio 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 Lyell Immunopharma and Passage Bio into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lyell Immunopharma and Passage Bio, you can compare the effects of market volatilities on Lyell Immunopharma and Passage Bio 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 Lyell Immunopharma with a short position of Passage Bio. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lyell Immunopharma and Passage Bio.
Diversification Opportunities for Lyell Immunopharma and Passage Bio
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Lyell and Passage is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Lyell Immunopharma and Passage Bio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Passage Bio and Lyell Immunopharma 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 Lyell Immunopharma are associated (or correlated) with Passage Bio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Passage Bio has no effect on the direction of Lyell Immunopharma i.e., Lyell Immunopharma and Passage Bio go up and down completely randomly.
Pair Corralation between Lyell Immunopharma and Passage Bio
Given the investment horizon of 90 days Lyell Immunopharma is expected to generate 1.19 times more return on investment than Passage Bio. However, Lyell Immunopharma is 1.19 times more volatile than Passage Bio. It trades about 0.08 of its potential returns per unit of risk. Passage Bio is currently generating about 0.01 per unit of risk. If you would invest 832.00 in Lyell Immunopharma on May 6, 2025 and sell it today you would earn a total of 270.00 from holding Lyell Immunopharma or generate 32.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lyell Immunopharma vs. Passage Bio
Performance |
Timeline |
Lyell Immunopharma |
Passage Bio |
Lyell Immunopharma and Passage Bio Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lyell Immunopharma and Passage Bio
The main advantage of trading using opposite Lyell Immunopharma and Passage Bio positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lyell Immunopharma position performs unexpectedly, Passage Bio 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 Passage Bio will offset losses from the drop in Passage Bio's long position.Lyell Immunopharma vs. Erasca Inc | Lyell Immunopharma vs. Century Therapeutics | Lyell Immunopharma vs. Keros Therapeutics | Lyell Immunopharma vs. Monte Rosa Therapeutics |
Passage Bio vs. Q32 Bio | Passage Bio vs. Stoke Therapeutics | Passage Bio vs. Revolution Medicines | Passage Bio vs. Black Diamond 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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