Correlation Between VinFast Auto and Ross Stores
Can any of the company-specific risk be diversified away by investing in both VinFast Auto and Ross Stores 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 VinFast Auto and Ross Stores into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between VinFast Auto Ltd and Ross Stores, you can compare the effects of market volatilities on VinFast Auto and Ross Stores 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 VinFast Auto with a short position of Ross Stores. Check out your portfolio center. Please also check ongoing floating volatility patterns of VinFast Auto and Ross Stores.
Diversification Opportunities for VinFast Auto and Ross Stores
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between VinFast and Ross is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding VinFast Auto Ltd and Ross Stores in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ross Stores and VinFast Auto 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 VinFast Auto Ltd are associated (or correlated) with Ross Stores. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ross Stores has no effect on the direction of VinFast Auto i.e., VinFast Auto and Ross Stores go up and down completely randomly.
Pair Corralation between VinFast Auto and Ross Stores
Considering the 90-day investment horizon VinFast Auto is expected to generate 7.73 times less return on investment than Ross Stores. In addition to that, VinFast Auto is 1.55 times more volatile than Ross Stores. It trades about 0.02 of its total potential returns per unit of risk. Ross Stores is currently generating about 0.24 per unit of volatility. If you would invest 14,672 in Ross Stores on September 13, 2025 and sell it today you would earn a total of 3,641 from holding Ross Stores or generate 24.82% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
VinFast Auto Ltd vs. Ross Stores
Performance |
| Timeline |
| VinFast Auto |
| Ross Stores |
VinFast Auto and Ross Stores Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with VinFast Auto and Ross Stores
The main advantage of trading using opposite VinFast Auto and Ross Stores positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if VinFast Auto position performs unexpectedly, Ross Stores 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 Ross Stores will offset losses from the drop in Ross Stores' long position.| VinFast Auto vs. Lucid Group | VinFast Auto vs. ZEEKR Intelligent Technology | VinFast Auto vs. LKQ Corporation | VinFast Auto vs. Lithia Motors |
| Ross Stores vs. Ford Motor | Ross Stores vs. JD Inc Adr | Ross Stores vs. Trip Group Ltd | Ross Stores vs. AutoZone |
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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