Correlation Between Asbury Automotive and Axalta Coating
Can any of the company-specific risk be diversified away by investing in both Asbury Automotive and Axalta Coating 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 Axalta Coating 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 Axalta Coating Systems, you can compare the effects of market volatilities on Asbury Automotive and Axalta Coating 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 Axalta Coating. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asbury Automotive and Axalta Coating.
Diversification Opportunities for Asbury Automotive and Axalta Coating
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Asbury and Axalta is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Asbury Automotive Group and Axalta Coating Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Axalta Coating Systems 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 Axalta Coating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Axalta Coating Systems has no effect on the direction of Asbury Automotive i.e., Asbury Automotive and Axalta Coating go up and down completely randomly.
Pair Corralation between Asbury Automotive and Axalta Coating
Considering the 90-day investment horizon Asbury Automotive Group is expected to generate 1.38 times more return on investment than Axalta Coating. However, Asbury Automotive is 1.38 times more volatile than Axalta Coating Systems. It trades about 0.04 of its potential returns per unit of risk. Axalta Coating Systems is currently generating about 0.04 per unit of risk. If you would invest 17,430 in Asbury Automotive Group on September 24, 2024 and sell it today you would earn a total of 7,147 from holding Asbury Automotive Group or generate 41.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Asbury Automotive Group vs. Axalta Coating Systems
Performance |
Timeline |
Asbury Automotive |
Axalta Coating Systems |
Asbury Automotive and Axalta Coating Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asbury Automotive and Axalta Coating
The main advantage of trading using opposite Asbury Automotive and Axalta Coating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asbury Automotive position performs unexpectedly, Axalta Coating 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 Axalta Coating will offset losses from the drop in Axalta Coating's long position.Asbury Automotive vs. Macys Inc | Asbury Automotive vs. Wayfair | Asbury Automotive vs. 1StdibsCom | Asbury Automotive vs. Boqii Holding Limited |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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