Correlation Between Li Auto and Oxford Industries
Can any of the company-specific risk be diversified away by investing in both Li Auto and Oxford Industries 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 Li Auto and Oxford Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Li Auto and Oxford Industries, you can compare the effects of market volatilities on Li Auto and Oxford Industries 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 Li Auto with a short position of Oxford Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Li Auto and Oxford Industries.
Diversification Opportunities for Li Auto and Oxford Industries
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Li Auto and Oxford is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Li Auto and Oxford Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oxford Industries and Li 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 Li Auto are associated (or correlated) with Oxford Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oxford Industries has no effect on the direction of Li Auto i.e., Li Auto and Oxford Industries go up and down completely randomly.
Pair Corralation between Li Auto and Oxford Industries
Allowing for the 90-day total investment horizon Li Auto is expected to under-perform the Oxford Industries. In addition to that, Li Auto is 2.1 times more volatile than Oxford Industries. It trades about -0.18 of its total potential returns per unit of risk. Oxford Industries is currently generating about 0.21 per unit of volatility. If you would invest 7,548 in Oxford Industries on August 30, 2024 and sell it today you would earn a total of 749.00 from holding Oxford Industries or generate 9.92% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Li Auto vs. Oxford Industries
Performance |
| Timeline |
| Li Auto |
| Oxford Industries |
Li Auto and Oxford Industries Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Li Auto and Oxford Industries
The main advantage of trading using opposite Li Auto and Oxford Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Li Auto position performs unexpectedly, Oxford Industries 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 Oxford Industries will offset losses from the drop in Oxford Industries' long position.The idea behind Li Auto and Oxford Industries 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.| Oxford Industries vs. G III Apparel Group | Oxford Industries vs. Ermenegildo Zegna NV | Oxford Industries vs. Kontoor Brands | Oxford Industries vs. Columbia Sportswear |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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