Correlation Between Sea and Cardinal Health
Can any of the company-specific risk be diversified away by investing in both Sea 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 Sea and Cardinal Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sea and Cardinal Health, you can compare the effects of market volatilities on Sea 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 Sea with a short position of Cardinal Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sea and Cardinal Health.
Diversification Opportunities for Sea and Cardinal Health
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Sea and Cardinal is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Sea and Cardinal Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cardinal Health and Sea 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 Sea 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 Sea i.e., Sea and Cardinal Health go up and down completely randomly.
Pair Corralation between Sea and Cardinal Health
Allowing for the 90-day total investment horizon Sea is expected to generate 1.8 times more return on investment than Cardinal Health. However, Sea is 1.8 times more volatile than Cardinal Health. It trades about -0.05 of its potential returns per unit of risk. Cardinal Health is currently generating about -0.11 per unit of risk. If you would invest 11,400 in Sea on September 25, 2024 and sell it today you would lose (253.00) from holding Sea or give up 2.22% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Sea vs. Cardinal Health
Performance |
Timeline |
Sea |
Cardinal Health |
Sea and Cardinal Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sea and Cardinal Health
The main advantage of trading using opposite Sea and Cardinal Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sea 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.The idea behind Sea and Cardinal Health pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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