Correlation Between 251526CS6 and Asbury Automotive
Specify exactly 2 symbols:
By analyzing existing cross correlation between DB 672 18 JAN 29 and Asbury Automotive Group, you can compare the effects of market volatilities on 251526CS6 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 251526CS6 with a short position of Asbury Automotive. Check out your portfolio center. Please also check ongoing floating volatility patterns of 251526CS6 and Asbury Automotive.
Diversification Opportunities for 251526CS6 and Asbury Automotive
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between 251526CS6 and Asbury is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding DB 672 18 JAN 29 and Asbury Automotive Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asbury Automotive and 251526CS6 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 DB 672 18 JAN 29 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 251526CS6 i.e., 251526CS6 and Asbury Automotive go up and down completely randomly.
Pair Corralation between 251526CS6 and Asbury Automotive
Assuming the 90 days trading horizon DB 672 18 JAN 29 is expected to under-perform the Asbury Automotive. But the bond apears to be less risky and, when comparing its historical volatility, DB 672 18 JAN 29 is 3.31 times less risky than Asbury Automotive. The bond trades about -0.22 of its potential returns per unit of risk. The Asbury Automotive Group is currently generating about 0.32 of returns per unit of risk over similar time horizon. If you would invest 22,558 in Asbury Automotive Group on August 29, 2024 and sell it today you would earn a total of 3,814 from holding Asbury Automotive Group or generate 16.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
DB 672 18 JAN 29 vs. Asbury Automotive Group
Performance |
Timeline |
DB 672 18 |
Asbury Automotive |
251526CS6 and Asbury Automotive Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with 251526CS6 and Asbury Automotive
The main advantage of trading using opposite 251526CS6 and Asbury Automotive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 251526CS6 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.251526CS6 vs. AEP TEX INC | 251526CS6 vs. US BANK NATIONAL | 251526CS6 vs. 3M Company | 251526CS6 vs. Alcoa 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
Other Complementary Tools
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data |