Correlation Between GoHealth and Asbury Automotive
Can any of the company-specific risk be diversified away by investing in both GoHealth and Asbury Automotive 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 GoHealth and Asbury Automotive into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GoHealth and Asbury Automotive Group, you can compare the effects of market volatilities on GoHealth and Asbury Automotive 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 GoHealth with a short position of Asbury Automotive. Check out your portfolio center. Please also check ongoing floating volatility patterns of GoHealth and Asbury Automotive.
Diversification Opportunities for GoHealth and Asbury Automotive
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GoHealth and Asbury is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding GoHealth and Asbury Automotive Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asbury Automotive and GoHealth 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 GoHealth are associated (or correlated) with Asbury Automotive. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Asbury Automotive has no effect on the direction of GoHealth i.e., GoHealth and Asbury Automotive go up and down completely randomly.
Pair Corralation between GoHealth and Asbury Automotive
Given the investment horizon of 90 days GoHealth is expected to generate 2.24 times more return on investment than Asbury Automotive. However, GoHealth is 2.24 times more volatile than Asbury Automotive Group. It trades about 0.02 of its potential returns per unit of risk. Asbury Automotive Group is currently generating about 0.04 per unit of risk. If you would invest 1,406 in GoHealth on August 30, 2024 and sell it today you would lose (172.00) from holding GoHealth or give up 12.23% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
GoHealth vs. Asbury Automotive Group
Performance |
| Timeline |
| GoHealth |
| Asbury Automotive |
GoHealth and Asbury Automotive Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GoHealth and Asbury Automotive
The main advantage of trading using opposite GoHealth and Asbury Automotive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GoHealth position performs unexpectedly, Asbury Automotive 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 Asbury Automotive will offset losses from the drop in Asbury Automotive's long position.| GoHealth vs. Arthur J Gallagher | GoHealth vs. Erie Indemnity | GoHealth vs. Marsh McLennan Companies | GoHealth vs. CorVel Corp |
| Asbury Automotive vs. Sonic Automotive | Asbury Automotive vs. Lithia Motors | Asbury Automotive vs. AutoNation | Asbury Automotive vs. Penske 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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