Correlation Between Aluminum and CARDINAL HEALTH
Can any of the company-specific risk be diversified away by investing in both Aluminum 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 Aluminum and CARDINAL HEALTH into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aluminum of and CARDINAL HEALTH, you can compare the effects of market volatilities on Aluminum 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 Aluminum with a short position of CARDINAL HEALTH. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aluminum and CARDINAL HEALTH.
Diversification Opportunities for Aluminum and CARDINAL HEALTH
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Aluminum and CARDINAL is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Aluminum of and CARDINAL HEALTH in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CARDINAL HEALTH and Aluminum 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 Aluminum of 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 Aluminum i.e., Aluminum and CARDINAL HEALTH go up and down completely randomly.
Pair Corralation between Aluminum and CARDINAL HEALTH
Assuming the 90 days horizon Aluminum of is expected to generate 2.07 times more return on investment than CARDINAL HEALTH. However, Aluminum is 2.07 times more volatile than CARDINAL HEALTH. It trades about 0.21 of its potential returns per unit of risk. CARDINAL HEALTH is currently generating about 0.25 per unit of risk. If you would invest 45.00 in Aluminum of on April 20, 2025 and sell it today you would earn a total of 17.00 from holding Aluminum of or generate 37.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Aluminum of vs. CARDINAL HEALTH
Performance |
Timeline |
Aluminum |
CARDINAL HEALTH |
Aluminum and CARDINAL HEALTH Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aluminum and CARDINAL HEALTH
The main advantage of trading using opposite Aluminum and CARDINAL HEALTH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aluminum 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.Aluminum vs. Norsk Hydro ASA | Aluminum vs. Alcoa Corp | Aluminum vs. AMAG Austria Metall | Aluminum vs. Kaiser Aluminum |
CARDINAL HEALTH vs. Apple Inc | CARDINAL HEALTH vs. Apple Inc | CARDINAL HEALTH vs. Apple Inc | CARDINAL HEALTH vs. Apple Inc |
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 Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
Other Complementary Tools
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
FinTech Suite Use AI to screen and filter profitable investment opportunities |