Correlation Between Martin Marietta and Humana
Can any of the company-specific risk be diversified away by investing in both Martin Marietta and Humana 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 Martin Marietta and Humana into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Martin Marietta Materials and Humana Inc, you can compare the effects of market volatilities on Martin Marietta and Humana 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 Martin Marietta with a short position of Humana. Check out your portfolio center. Please also check ongoing floating volatility patterns of Martin Marietta and Humana.
Diversification Opportunities for Martin Marietta and Humana
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Martin and Humana is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Martin Marietta Materials and Humana Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Humana Inc and Martin Marietta 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 Martin Marietta Materials are associated (or correlated) with Humana. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Humana Inc has no effect on the direction of Martin Marietta i.e., Martin Marietta and Humana go up and down completely randomly.
Pair Corralation between Martin Marietta and Humana
Assuming the 90 days trading horizon Martin Marietta Materials is expected to under-perform the Humana. But the stock apears to be less risky and, when comparing its historical volatility, Martin Marietta Materials is 1.96 times less risky than Humana. The stock trades about -0.45 of its potential returns per unit of risk. The Humana Inc is currently generating about -0.15 of returns per unit of risk over similar time horizon. If you would invest 29,352 in Humana Inc on December 2, 2024 and sell it today you would lose (3,024) from holding Humana Inc or give up 10.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 90.91% |
Values | Daily Returns |
Martin Marietta Materials vs. Humana Inc
Performance |
Timeline |
Martin Marietta Materials |
Humana Inc |
Martin Marietta and Humana Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Martin Marietta and Humana
The main advantage of trading using opposite Martin Marietta and Humana positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Martin Marietta position performs unexpectedly, Humana 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 Humana will offset losses from the drop in Humana's long position.Martin Marietta vs. Wheaton Precious Metals | Martin Marietta vs. Berner Kantonalbank AG | Martin Marietta vs. Direct Line Insurance | Martin Marietta vs. Liechtensteinische Landesbank AG |
Humana vs. Silvercorp Metals | Humana vs. Check Point Software | Humana vs. PPHE Hotel Group | Humana vs. URU Metals |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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