Correlation Between AutoNation and VinFast Auto
Can any of the company-specific risk be diversified away by investing in both AutoNation and VinFast Auto 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 AutoNation and VinFast Auto into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AutoNation and VinFast Auto Ltd, you can compare the effects of market volatilities on AutoNation and VinFast Auto 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 AutoNation with a short position of VinFast Auto. Check out your portfolio center. Please also check ongoing floating volatility patterns of AutoNation and VinFast Auto.
Diversification Opportunities for AutoNation and VinFast Auto
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between AutoNation and VinFast is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding AutoNation and VinFast Auto Ltd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on VinFast Auto and AutoNation 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 AutoNation are associated (or correlated) with VinFast Auto. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of VinFast Auto has no effect on the direction of AutoNation i.e., AutoNation and VinFast Auto go up and down completely randomly.
Pair Corralation between AutoNation and VinFast Auto
Allowing for the 90-day total investment horizon AutoNation is expected to under-perform the VinFast Auto. But the stock apears to be less risky and, when comparing its historical volatility, AutoNation is 1.36 times less risky than VinFast Auto. The stock trades about -0.03 of its potential returns per unit of risk. The VinFast Auto Ltd is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 319.00 in VinFast Auto Ltd on September 16, 2025 and sell it today you would earn a total of 11.00 from holding VinFast Auto Ltd or generate 3.45% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
AutoNation vs. VinFast Auto Ltd
Performance |
| Timeline |
| AutoNation |
| VinFast Auto |
AutoNation and VinFast Auto Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with AutoNation and VinFast Auto
The main advantage of trading using opposite AutoNation and VinFast Auto positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AutoNation position performs unexpectedly, VinFast Auto 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 VinFast Auto will offset losses from the drop in VinFast Auto's long position.| AutoNation vs. Lithia Motors | AutoNation vs. LKQ Corporation | AutoNation vs. CarMax Inc | AutoNation vs. Group 1 Automotive |
| VinFast Auto vs. Lucid Group | VinFast Auto vs. ZEEKR Intelligent Technology | VinFast Auto vs. LKQ Corporation | VinFast Auto vs. Lithia Motors |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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