Correlation Between Asbury Automotive and Qurate Retail
Can any of the company-specific risk be diversified away by investing in both Asbury Automotive and Qurate Retail 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 Asbury Automotive and Qurate Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asbury Automotive Group and Qurate Retail Series, you can compare the effects of market volatilities on Asbury Automotive and Qurate Retail 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 Asbury Automotive with a short position of Qurate Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asbury Automotive and Qurate Retail.
Diversification Opportunities for Asbury Automotive and Qurate Retail
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Asbury and Qurate is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Asbury Automotive Group and Qurate Retail Series in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qurate Retail Series and Asbury Automotive 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 Asbury Automotive Group are associated (or correlated) with Qurate Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qurate Retail Series has no effect on the direction of Asbury Automotive i.e., Asbury Automotive and Qurate Retail go up and down completely randomly.
Pair Corralation between Asbury Automotive and Qurate Retail
Considering the 90-day investment horizon Asbury Automotive Group is expected to generate 0.51 times more return on investment than Qurate Retail. However, Asbury Automotive Group is 1.94 times less risky than Qurate Retail. It trades about 0.23 of its potential returns per unit of risk. Qurate Retail Series is currently generating about -0.39 per unit of risk. If you would invest 22,977 in Asbury Automotive Group on August 24, 2024 and sell it today you would earn a total of 2,839 from holding Asbury Automotive Group or generate 12.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Asbury Automotive Group vs. Qurate Retail Series
Performance |
Timeline |
Asbury Automotive |
Qurate Retail Series |
Asbury Automotive and Qurate Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asbury Automotive and Qurate Retail
The main advantage of trading using opposite Asbury Automotive and Qurate Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asbury Automotive position performs unexpectedly, Qurate Retail 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 Qurate Retail will offset losses from the drop in Qurate Retail's long position.Asbury Automotive vs. Group 1 Automotive | Asbury Automotive vs. Lithia Motors | Asbury Automotive vs. AutoNation | Asbury Automotive vs. Sonic Automotive |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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