Correlation Between Lyell Immunopharma and Sana Biotechnology
Can any of the company-specific risk be diversified away by investing in both Lyell Immunopharma and Sana Biotechnology 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 Sana Biotechnology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lyell Immunopharma and Sana Biotechnology, you can compare the effects of market volatilities on Lyell Immunopharma and Sana Biotechnology 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 Sana Biotechnology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lyell Immunopharma and Sana Biotechnology.
Diversification Opportunities for Lyell Immunopharma and Sana Biotechnology
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Lyell and Sana is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Lyell Immunopharma and Sana Biotechnology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sana Biotechnology 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 Sana Biotechnology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sana Biotechnology has no effect on the direction of Lyell Immunopharma i.e., Lyell Immunopharma and Sana Biotechnology go up and down completely randomly.
Pair Corralation between Lyell Immunopharma and Sana Biotechnology
Given the investment horizon of 90 days Lyell Immunopharma is expected to generate 1.49 times more return on investment than Sana Biotechnology. However, Lyell Immunopharma is 1.49 times more volatile than Sana Biotechnology. It trades about -0.05 of its potential returns per unit of risk. Sana Biotechnology is currently generating about -0.21 per unit of risk. If you would invest 140.00 in Lyell Immunopharma on September 3, 2024 and sell it today you would lose (45.00) from holding Lyell Immunopharma or give up 32.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lyell Immunopharma vs. Sana Biotechnology
Performance |
Timeline |
Lyell Immunopharma |
Sana Biotechnology |
Lyell Immunopharma and Sana Biotechnology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lyell Immunopharma and Sana Biotechnology
The main advantage of trading using opposite Lyell Immunopharma and Sana Biotechnology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lyell Immunopharma position performs unexpectedly, Sana Biotechnology 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 Sana Biotechnology will offset losses from the drop in Sana Biotechnology's long position.Lyell Immunopharma vs. Cullinan Oncology LLC | Lyell Immunopharma vs. Monte Rosa Therapeutics | Lyell Immunopharma vs. Revolution Medicines | Lyell Immunopharma vs. Nkarta Inc |
Sana Biotechnology vs. Olema Pharmaceuticals | Sana Biotechnology vs. Cullinan Oncology LLC | Sana Biotechnology vs. Zentalis Pharmaceuticals Llc | Sana Biotechnology vs. X4 Pharmaceuticals |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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