Correlation Between Cars and AutoNation
Can any of the company-specific risk be diversified away by investing in both Cars and AutoNation 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 Cars and AutoNation into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cars Inc and AutoNation, you can compare the effects of market volatilities on Cars and AutoNation 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 Cars with a short position of AutoNation. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cars and AutoNation.
Diversification Opportunities for Cars and AutoNation
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Cars and AutoNation is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Cars Inc and AutoNation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AutoNation and Cars 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 Cars Inc are associated (or correlated) with AutoNation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AutoNation has no effect on the direction of Cars i.e., Cars and AutoNation go up and down completely randomly.
Pair Corralation between Cars and AutoNation
Given the investment horizon of 90 days Cars Inc is expected to generate 1.27 times more return on investment than AutoNation. However, Cars is 1.27 times more volatile than AutoNation. It trades about 0.42 of its potential returns per unit of risk. AutoNation is currently generating about 0.33 per unit of risk. If you would invest 1,615 in Cars Inc on August 28, 2024 and sell it today you would earn a total of 374.00 from holding Cars Inc or generate 23.16% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Cars Inc vs. AutoNation
Performance |
| Timeline |
| Cars Inc |
| AutoNation |
Cars and AutoNation Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Cars and AutoNation
The main advantage of trading using opposite Cars and AutoNation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cars position performs unexpectedly, AutoNation 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 AutoNation will offset losses from the drop in AutoNation's long position.The idea behind Cars Inc and AutoNation pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| AutoNation vs. Kingsway Financial Services | AutoNation vs. KAR Auction Services | AutoNation vs. Cango Inc | AutoNation vs. Vroom Inc |
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 Commodity Directory module to find actively traded commodities issued by global exchanges.
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