Correlation Between HUMANA and Dividend
Specify exactly 2 symbols:
By analyzing existing cross correlation between HUMANA INC and Dividend 15 Split, you can compare the effects of market volatilities on HUMANA and Dividend 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 HUMANA with a short position of Dividend. Check out your portfolio center. Please also check ongoing floating volatility patterns of HUMANA and Dividend.
Diversification Opportunities for HUMANA and Dividend
Very good diversification
The 3 months correlation between HUMANA and Dividend is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding HUMANA INC and Dividend 15 Split in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dividend 15 Split and HUMANA 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 HUMANA INC are associated (or correlated) with Dividend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dividend 15 Split has no effect on the direction of HUMANA i.e., HUMANA and Dividend go up and down completely randomly.
Pair Corralation between HUMANA and Dividend
Assuming the 90 days trading horizon HUMANA INC is expected to generate 2.03 times more return on investment than Dividend. However, HUMANA is 2.03 times more volatile than Dividend 15 Split. It trades about 0.12 of its potential returns per unit of risk. Dividend 15 Split is currently generating about 0.22 per unit of risk. If you would invest 8,197 in HUMANA INC on October 6, 2024 and sell it today you would earn a total of 247.00 from holding HUMANA INC or generate 3.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
HUMANA INC vs. Dividend 15 Split
Performance |
Timeline |
HUMANA INC |
Dividend 15 Split |
HUMANA and Dividend Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HUMANA and Dividend
The main advantage of trading using opposite HUMANA and Dividend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HUMANA position performs unexpectedly, Dividend 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 Dividend will offset losses from the drop in Dividend's long position.HUMANA vs. Getty Images Holdings | HUMANA vs. GMO Internet | HUMANA vs. Bridgford Foods | HUMANA vs. Stratasys |
Dividend vs. GMS Inc | Dividend vs. Bragg Gaming Group | Dividend vs. National Vision Holdings | Dividend vs. Asbury Automotive Group |
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 Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Other Complementary Tools
Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |