Correlation Between Lyra Therapeutics and Cullinan Oncology
Can any of the company-specific risk be diversified away by investing in both Lyra Therapeutics and Cullinan Oncology 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 Cullinan Oncology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lyra Therapeutics and Cullinan Oncology LLC, you can compare the effects of market volatilities on Lyra Therapeutics and Cullinan Oncology 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 Cullinan Oncology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lyra Therapeutics and Cullinan Oncology.
Diversification Opportunities for Lyra Therapeutics and Cullinan Oncology
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Lyra and Cullinan is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Lyra Therapeutics and Cullinan Oncology LLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cullinan Oncology LLC 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 Cullinan Oncology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cullinan Oncology LLC has no effect on the direction of Lyra Therapeutics i.e., Lyra Therapeutics and Cullinan Oncology go up and down completely randomly.
Pair Corralation between Lyra Therapeutics and Cullinan Oncology
Given the investment horizon of 90 days Lyra Therapeutics is expected to generate 2.1 times more return on investment than Cullinan Oncology. However, Lyra Therapeutics is 2.1 times more volatile than Cullinan Oncology LLC. It trades about -0.1 of its potential returns per unit of risk. Cullinan Oncology LLC is currently generating about -0.27 per unit of risk. If you would invest 25.00 in Lyra Therapeutics on August 27, 2024 and sell it today you would lose (6.00) from holding Lyra Therapeutics or give up 24.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Lyra Therapeutics vs. Cullinan Oncology LLC
Performance |
Timeline |
Lyra Therapeutics |
Cullinan Oncology LLC |
Lyra Therapeutics and Cullinan Oncology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lyra Therapeutics and Cullinan Oncology
The main advantage of trading using opposite Lyra Therapeutics and Cullinan Oncology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lyra Therapeutics position performs unexpectedly, Cullinan Oncology 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 Cullinan Oncology will offset losses from the drop in Cullinan Oncology's long position.Lyra Therapeutics vs. Eliem Therapeutics | Lyra Therapeutics vs. HCW Biologics | Lyra Therapeutics vs. Scpharmaceuticals | Lyra Therapeutics vs. Milestone Pharmaceuticals |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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