Correlation Between Passage Bio and Monte Rosa
Can any of the company-specific risk be diversified away by investing in both Passage Bio and Monte Rosa 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 Passage Bio and Monte Rosa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Passage Bio and Monte Rosa Therapeutics, you can compare the effects of market volatilities on Passage Bio and Monte Rosa 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 Passage Bio with a short position of Monte Rosa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Passage Bio and Monte Rosa.
Diversification Opportunities for Passage Bio and Monte Rosa
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Passage and Monte is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Passage Bio and Monte Rosa Therapeutics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Monte Rosa Therapeutics and Passage Bio 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 Passage Bio are associated (or correlated) with Monte Rosa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Monte Rosa Therapeutics has no effect on the direction of Passage Bio i.e., Passage Bio and Monte Rosa go up and down completely randomly.
Pair Corralation between Passage Bio and Monte Rosa
Given the investment horizon of 90 days Passage Bio is expected to generate 5.82 times less return on investment than Monte Rosa. But when comparing it to its historical volatility, Passage Bio is 1.85 times less risky than Monte Rosa. It trades about 0.04 of its potential returns per unit of risk. Monte Rosa Therapeutics is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 582.00 in Monte Rosa Therapeutics on August 31, 2024 and sell it today you would earn a total of 454.00 from holding Monte Rosa Therapeutics or generate 78.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Passage Bio vs. Monte Rosa Therapeutics
Performance |
Timeline |
Passage Bio |
Monte Rosa Therapeutics |
Passage Bio and Monte Rosa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Passage Bio and Monte Rosa
The main advantage of trading using opposite Passage Bio and Monte Rosa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Passage Bio position performs unexpectedly, Monte Rosa 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 Monte Rosa will offset losses from the drop in Monte Rosa's long position.Passage Bio vs. Cue Biopharma | Passage Bio vs. Eliem Therapeutics | Passage Bio vs. Inhibrx | Passage Bio vs. Molecular Partners AG |
Monte Rosa vs. Nkarta Inc | Monte Rosa vs. Lyell Immunopharma | Monte Rosa vs. Generation Bio Co | Monte Rosa vs. Sana Biotechnology |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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