Correlation Between Sellas Life and Cardinal Health
Can any of the company-specific risk be diversified away by investing in both Sellas Life and Cardinal Health 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 Sellas Life and Cardinal Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sellas Life Sciences and Cardinal Health, you can compare the effects of market volatilities on Sellas Life and Cardinal Health 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 Sellas Life with a short position of Cardinal Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sellas Life and Cardinal Health.
Diversification Opportunities for Sellas Life and Cardinal Health
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Sellas and Cardinal is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Sellas Life Sciences and Cardinal Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cardinal Health and Sellas Life 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 Sellas Life Sciences are associated (or correlated) with Cardinal Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cardinal Health has no effect on the direction of Sellas Life i.e., Sellas Life and Cardinal Health go up and down completely randomly.
Pair Corralation between Sellas Life and Cardinal Health
Considering the 90-day investment horizon Sellas Life Sciences is expected to generate 6.75 times more return on investment than Cardinal Health. However, Sellas Life is 6.75 times more volatile than Cardinal Health. It trades about 0.07 of its potential returns per unit of risk. Cardinal Health is currently generating about 0.21 per unit of risk. If you would invest 98.00 in Sellas Life Sciences on December 27, 2024 and sell it today you would earn a total of 18.00 from holding Sellas Life Sciences or generate 18.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sellas Life Sciences vs. Cardinal Health
Performance |
Timeline |
Sellas Life Sciences |
Cardinal Health |
Sellas Life and Cardinal Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sellas Life and Cardinal Health
The main advantage of trading using opposite Sellas Life and Cardinal Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sellas Life position performs unexpectedly, Cardinal Health 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 Cardinal Health will offset losses from the drop in Cardinal Health's long position.Sellas Life vs. NLS Pharmaceutics AG | Sellas Life vs. Mereo BioPharma Group | Sellas Life vs. Day One Biopharmaceuticals | Sellas Life vs. Reviva Pharmaceuticals Holdings |
Cardinal Health vs. Henry Schein | Cardinal Health vs. Owens Minor | Cardinal Health vs. Patterson Companies | Cardinal Health vs. McKesson |
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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