Correlation Between Asbury Automotive and 19123MAF0
Specify exactly 2 symbols:
By analyzing existing cross correlation between Asbury Automotive Group and CCEP 15 15 JAN 27, you can compare the effects of market volatilities on Asbury Automotive and 19123MAF0 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 19123MAF0. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asbury Automotive and 19123MAF0.
Diversification Opportunities for Asbury Automotive and 19123MAF0
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Asbury and 19123MAF0 is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Asbury Automotive Group and CCEP 15 15 JAN 27 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CCEP 15 15 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 19123MAF0. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CCEP 15 15 has no effect on the direction of Asbury Automotive i.e., Asbury Automotive and 19123MAF0 go up and down completely randomly.
Pair Corralation between Asbury Automotive and 19123MAF0
Considering the 90-day investment horizon Asbury Automotive Group is expected to generate 1.12 times more return on investment than 19123MAF0. However, Asbury Automotive is 1.12 times more volatile than CCEP 15 15 JAN 27. It trades about -0.05 of its potential returns per unit of risk. CCEP 15 15 JAN 27 is currently generating about -0.29 per unit of risk. If you would invest 25,866 in Asbury Automotive Group on September 13, 2024 and sell it today you would lose (497.00) from holding Asbury Automotive Group or give up 1.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 36.36% |
Values | Daily Returns |
Asbury Automotive Group vs. CCEP 15 15 JAN 27
Performance |
Timeline |
Asbury Automotive |
CCEP 15 15 |
Asbury Automotive and 19123MAF0 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asbury Automotive and 19123MAF0
The main advantage of trading using opposite Asbury Automotive and 19123MAF0 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asbury Automotive position performs unexpectedly, 19123MAF0 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 19123MAF0 will offset losses from the drop in 19123MAF0's long position.Asbury Automotive vs. Sonic Automotive | Asbury Automotive vs. Lithia Motors | Asbury Automotive vs. AutoNation | Asbury Automotive vs. Penske Automotive Group |
19123MAF0 vs. Westrock Coffee | 19123MAF0 vs. Alvotech | 19123MAF0 vs. The Coca Cola | 19123MAF0 vs. Constellation Brands Class |
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 Stocks Directory module to find actively traded stocks across global markets.
Other Complementary Tools
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |