Correlation Between Johnson Johnson and Passage Bio
Can any of the company-specific risk be diversified away by investing in both Johnson Johnson 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 Johnson Johnson and Passage Bio into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Johnson Johnson and Passage Bio, you can compare the effects of market volatilities on Johnson Johnson 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 Johnson Johnson with a short position of Passage Bio. Check out your portfolio center. Please also check ongoing floating volatility patterns of Johnson Johnson and Passage Bio.
Diversification Opportunities for Johnson Johnson and Passage Bio
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Johnson and Passage is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Johnson Johnson and Passage Bio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Passage Bio and Johnson Johnson 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 Johnson Johnson 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 Johnson Johnson i.e., Johnson Johnson and Passage Bio go up and down completely randomly.
Pair Corralation between Johnson Johnson and Passage Bio
Considering the 90-day investment horizon Johnson Johnson is expected to generate 1.81 times less return on investment than Passage Bio. But when comparing it to its historical volatility, Johnson Johnson is 6.19 times less risky than Passage Bio. It trades about 0.07 of its potential returns per unit of risk. Passage Bio is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 64.00 in Passage Bio on July 23, 2024 and sell it today you would lose (6.00) from holding Passage Bio or give up 9.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Johnson Johnson vs. Passage Bio
Performance |
Timeline |
Johnson Johnson |
Passage Bio |
Johnson Johnson and Passage Bio Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Johnson Johnson and Passage Bio
The main advantage of trading using opposite Johnson Johnson and Passage Bio positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Johnson Johnson 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.Johnson Johnson vs. PetIQ Inc | Johnson Johnson vs. Emergent Biosolutions | Johnson Johnson vs. Bausch Health Companies | Johnson Johnson vs. Neurocrine Biosciences |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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