Correlation Between Armlogi Holding and Asbury Automotive
Can any of the company-specific risk be diversified away by investing in both Armlogi Holding 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 Armlogi Holding and Asbury Automotive into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Armlogi Holding Corp and Asbury Automotive Group, you can compare the effects of market volatilities on Armlogi Holding 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 Armlogi Holding with a short position of Asbury Automotive. Check out your portfolio center. Please also check ongoing floating volatility patterns of Armlogi Holding and Asbury Automotive.
Diversification Opportunities for Armlogi Holding and Asbury Automotive
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Armlogi and Asbury is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Armlogi Holding Corp and Asbury Automotive Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asbury Automotive and Armlogi Holding 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 Armlogi Holding Corp 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 Armlogi Holding i.e., Armlogi Holding and Asbury Automotive go up and down completely randomly.
Pair Corralation between Armlogi Holding and Asbury Automotive
Given the investment horizon of 90 days Armlogi Holding Corp is expected to generate 4.66 times more return on investment than Asbury Automotive. However, Armlogi Holding is 4.66 times more volatile than Asbury Automotive Group. It trades about 0.07 of its potential returns per unit of risk. Asbury Automotive Group is currently generating about 0.12 per unit of risk. If you would invest 420.00 in Armlogi Holding Corp on September 13, 2024 and sell it today you would earn a total of 83.00 from holding Armlogi Holding Corp or generate 19.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Armlogi Holding Corp vs. Asbury Automotive Group
Performance |
Timeline |
Armlogi Holding Corp |
Asbury Automotive |
Armlogi Holding and Asbury Automotive Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Armlogi Holding and Asbury Automotive
The main advantage of trading using opposite Armlogi Holding and Asbury Automotive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Armlogi Holding 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.Armlogi Holding vs. Catalent | Armlogi Holding vs. Sonida Senior Living | Armlogi Holding vs. Global Ship Lease | Armlogi Holding vs. U Haul Holding |
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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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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