Correlation Between Cardinal Health and Nippon Steel
Can any of the company-specific risk be diversified away by investing in both Cardinal Health and Nippon Steel 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 Cardinal Health and Nippon Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cardinal Health and Nippon Steel, you can compare the effects of market volatilities on Cardinal Health and Nippon Steel 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 Cardinal Health with a short position of Nippon Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cardinal Health and Nippon Steel.
Diversification Opportunities for Cardinal Health and Nippon Steel
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Cardinal and Nippon is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Cardinal Health and Nippon Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nippon Steel and Cardinal Health 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 Cardinal Health are associated (or correlated) with Nippon Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nippon Steel has no effect on the direction of Cardinal Health i.e., Cardinal Health and Nippon Steel go up and down completely randomly.
Pair Corralation between Cardinal Health and Nippon Steel
Assuming the 90 days horizon Cardinal Health is expected to under-perform the Nippon Steel. But the stock apears to be less risky and, when comparing its historical volatility, Cardinal Health is 2.21 times less risky than Nippon Steel. The stock trades about -0.17 of its potential returns per unit of risk. The Nippon Steel is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 1,825 in Nippon Steel on September 23, 2024 and sell it today you would lose (44.00) from holding Nippon Steel or give up 2.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Cardinal Health vs. Nippon Steel
Performance |
Timeline |
Cardinal Health |
Nippon Steel |
Cardinal Health and Nippon Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cardinal Health and Nippon Steel
The main advantage of trading using opposite Cardinal Health and Nippon Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cardinal Health position performs unexpectedly, Nippon Steel 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 Nippon Steel will offset losses from the drop in Nippon Steel's long position.Cardinal Health vs. AmerisourceBergen | Cardinal Health vs. Henry Schein | Cardinal Health vs. Shanghai Pharmaceuticals Holding | Cardinal Health vs. Sinopharm Group Co |
Nippon Steel vs. Nucor | Nippon Steel vs. ArcelorMittal SA | Nippon Steel vs. ArcelorMittal | Nippon Steel vs. Steel Dynamics |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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