Correlation Between Ralph Lauren and VinFast Auto
Can any of the company-specific risk be diversified away by investing in both Ralph Lauren 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 Ralph Lauren and VinFast Auto into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ralph Lauren Corp and VinFast Auto Ltd, you can compare the effects of market volatilities on Ralph Lauren 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 Ralph Lauren with a short position of VinFast Auto. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ralph Lauren and VinFast Auto.
Diversification Opportunities for Ralph Lauren and VinFast Auto
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ralph and VinFast is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Ralph Lauren Corp and VinFast Auto Ltd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on VinFast Auto and Ralph Lauren 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 Ralph Lauren Corp 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 Ralph Lauren i.e., Ralph Lauren and VinFast Auto go up and down completely randomly.
Pair Corralation between Ralph Lauren and VinFast Auto
Allowing for the 90-day total investment horizon Ralph Lauren is expected to generate 2.64 times less return on investment than VinFast Auto. But when comparing it to its historical volatility, Ralph Lauren Corp is 8.93 times less risky than VinFast Auto. It trades about 0.11 of its potential returns per unit of risk. VinFast Auto Ltd is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 1,045 in VinFast Auto Ltd on August 31, 2024 and sell it today you would lose (619.00) from holding VinFast Auto Ltd or give up 59.23% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 83.25% |
| Values | Daily Returns |
Ralph Lauren Corp vs. VinFast Auto Ltd
Performance |
| Timeline |
| Ralph Lauren Corp |
| VinFast Auto |
Ralph Lauren and VinFast Auto Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ralph Lauren and VinFast Auto
The main advantage of trading using opposite Ralph Lauren and VinFast Auto positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ralph Lauren 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.| Ralph Lauren vs. Levi Strauss Co | Ralph Lauren vs. Hanesbrands | Ralph Lauren vs. VF Corporation | Ralph Lauren vs. Oxford Industries |
| VinFast Auto vs. Ralph Lauren Corp | VinFast Auto vs. Hf Foods Group | VinFast Auto vs. SNDL Inc | VinFast Auto vs. Village Super Market |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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