Correlation Between Goosehead Insurance and Asbury Automotive
Can any of the company-specific risk be diversified away by investing in both Goosehead Insurance 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 Goosehead Insurance and Asbury Automotive into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goosehead Insurance and Asbury Automotive Group, you can compare the effects of market volatilities on Goosehead Insurance 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 Goosehead Insurance with a short position of Asbury Automotive. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goosehead Insurance and Asbury Automotive.
Diversification Opportunities for Goosehead Insurance and Asbury Automotive
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Goosehead and Asbury is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Goosehead Insurance and Asbury Automotive Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asbury Automotive and Goosehead Insurance 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 Goosehead Insurance 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 Goosehead Insurance i.e., Goosehead Insurance and Asbury Automotive go up and down completely randomly.
Pair Corralation between Goosehead Insurance and Asbury Automotive
Given the investment horizon of 90 days Goosehead Insurance is expected to generate 1.28 times more return on investment than Asbury Automotive. However, Goosehead Insurance is 1.28 times more volatile than Asbury Automotive Group. It trades about 0.08 of its potential returns per unit of risk. Asbury Automotive Group is currently generating about -0.02 per unit of risk. If you would invest 10,050 in Goosehead Insurance on December 20, 2024 and sell it today you would earn a total of 1,400 from holding Goosehead Insurance or generate 13.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Goosehead Insurance vs. Asbury Automotive Group
Performance |
Timeline |
Goosehead Insurance |
Asbury Automotive |
Goosehead Insurance and Asbury Automotive Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goosehead Insurance and Asbury Automotive
The main advantage of trading using opposite Goosehead Insurance and Asbury Automotive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goosehead Insurance 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.Goosehead Insurance vs. Enstar Group Limited | Goosehead Insurance vs. Waterdrop ADR | Goosehead Insurance vs. Axa Equitable Holdings | Goosehead Insurance vs. Hartford Financial Services |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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