Correlation Between Generation Bio and Passage Bio
Can any of the company-specific risk be diversified away by investing in both Generation Bio 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 Generation Bio and Passage Bio into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Generation Bio Co and Passage Bio, you can compare the effects of market volatilities on Generation Bio 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 Generation Bio with a short position of Passage Bio. Check out your portfolio center. Please also check ongoing floating volatility patterns of Generation Bio and Passage Bio.
Diversification Opportunities for Generation Bio and Passage Bio
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Generation and Passage is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Generation Bio Co and Passage Bio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Passage Bio and Generation 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 Generation Bio Co 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 Generation Bio i.e., Generation Bio and Passage Bio go up and down completely randomly.
Pair Corralation between Generation Bio and Passage Bio
Given the investment horizon of 90 days Generation Bio Co is expected to under-perform the Passage Bio. But the stock apears to be less risky and, when comparing its historical volatility, Generation Bio Co is 1.7 times less risky than Passage Bio. The stock trades about -0.29 of its potential returns per unit of risk. The Passage Bio is currently generating about -0.08 of returns per unit of risk over similar time horizon. If you would invest 67.00 in Passage Bio on December 30, 2024 and sell it today you would lose (29.00) from holding Passage Bio or give up 43.28% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Generation Bio Co vs. Passage Bio
Performance |
Timeline |
Generation Bio |
Passage Bio |
Generation Bio and Passage Bio Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Generation Bio and Passage Bio
The main advantage of trading using opposite Generation Bio and Passage Bio positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Generation Bio 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.Generation Bio vs. Monte Rosa Therapeutics | Generation Bio vs. Nkarta Inc | Generation Bio vs. Lyell Immunopharma | Generation Bio vs. Sana Biotechnology |
Passage Bio vs. Black Diamond Therapeutics | Passage Bio vs. Revolution Medicines | Passage Bio vs. Stoke Therapeutics | Passage Bio vs. Cabaletta Bio |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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