Correlation Between Microbot Medical and Asbury Automotive
Can any of the company-specific risk be diversified away by investing in both Microbot Medical 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 Microbot Medical and Asbury Automotive into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microbot Medical and Asbury Automotive Group, you can compare the effects of market volatilities on Microbot Medical 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 Microbot Medical with a short position of Asbury Automotive. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microbot Medical and Asbury Automotive.
Diversification Opportunities for Microbot Medical and Asbury Automotive
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Microbot and Asbury is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Microbot Medical and Asbury Automotive Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asbury Automotive and Microbot Medical 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 Microbot Medical 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 Microbot Medical i.e., Microbot Medical and Asbury Automotive go up and down completely randomly.
Pair Corralation between Microbot Medical and Asbury Automotive
Given the investment horizon of 90 days Microbot Medical is expected to under-perform the Asbury Automotive. In addition to that, Microbot Medical is 2.31 times more volatile than Asbury Automotive Group. It trades about -0.12 of its total potential returns per unit of risk. Asbury Automotive Group is currently generating about 0.02 per unit of volatility. If you would invest 27,112 in Asbury Automotive Group on November 28, 2024 and sell it today you would earn a total of 151.00 from holding Asbury Automotive Group or generate 0.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Microbot Medical vs. Asbury Automotive Group
Performance |
Timeline |
Microbot Medical |
Asbury Automotive |
Microbot Medical and Asbury Automotive Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microbot Medical and Asbury Automotive
The main advantage of trading using opposite Microbot Medical and Asbury Automotive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microbot Medical 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.Microbot Medical vs. Intuitive Surgical | Microbot Medical vs. Innerscope Advertising Agency | Microbot Medical vs. Predictive Oncology | Microbot Medical vs. STAAR Surgical |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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