Correlation Between Lyra Therapeutics and Gracell Biotechnologies
Can any of the company-specific risk be diversified away by investing in both Lyra Therapeutics and Gracell Biotechnologies 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 Lyra Therapeutics and Gracell Biotechnologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lyra Therapeutics and Gracell Biotechnologies, you can compare the effects of market volatilities on Lyra Therapeutics and Gracell Biotechnologies 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 Lyra Therapeutics with a short position of Gracell Biotechnologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lyra Therapeutics and Gracell Biotechnologies.
Diversification Opportunities for Lyra Therapeutics and Gracell Biotechnologies
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Lyra and Gracell is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Lyra Therapeutics and Gracell Biotechnologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gracell Biotechnologies and Lyra 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 Lyra Therapeutics are associated (or correlated) with Gracell Biotechnologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gracell Biotechnologies has no effect on the direction of Lyra Therapeutics i.e., Lyra Therapeutics and Gracell Biotechnologies go up and down completely randomly.
Pair Corralation between Lyra Therapeutics and Gracell Biotechnologies
If you would invest 21.00 in Lyra Therapeutics on November 28, 2024 and sell it today you would lose (1.00) from holding Lyra Therapeutics or give up 4.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 0.0% |
Values | Daily Returns |
Lyra Therapeutics vs. Gracell Biotechnologies
Performance |
Timeline |
Lyra Therapeutics |
Gracell Biotechnologies |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
Lyra Therapeutics and Gracell Biotechnologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lyra Therapeutics and Gracell Biotechnologies
The main advantage of trading using opposite Lyra Therapeutics and Gracell Biotechnologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lyra Therapeutics position performs unexpectedly, Gracell Biotechnologies 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 Gracell Biotechnologies will offset losses from the drop in Gracell Biotechnologies' long position.Lyra Therapeutics vs. CytomX Therapeutics | Lyra Therapeutics vs. Assembly Biosciences | Lyra Therapeutics vs. Achilles Therapeutics PLC | Lyra Therapeutics vs. Instil Bio |
Gracell Biotechnologies vs. Monte Rosa Therapeutics | Gracell Biotechnologies vs. Design Therapeutics | Gracell Biotechnologies vs. Erasca Inc | Gracell Biotechnologies vs. NextCure |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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