Correlation Between Li Auto and Ford
Can any of the company-specific risk be diversified away by investing in both Li Auto and Ford 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 Ford into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Li Auto and Ford Motor, you can compare the effects of market volatilities on Li Auto and Ford 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 Ford. Check out your portfolio center. Please also check ongoing floating volatility patterns of Li Auto and Ford.
Diversification Opportunities for Li Auto and Ford
Good diversification
The 3 months correlation between Li Auto and Ford is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Li Auto and Ford Motor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ford Motor 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 Ford. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ford Motor has no effect on the direction of Li Auto i.e., Li Auto and Ford go up and down completely randomly.
Pair Corralation between Li Auto and Ford
Allowing for the 90-day total investment horizon Li Auto is expected to generate 1.67 times more return on investment than Ford. However, Li Auto is 1.67 times more volatile than Ford Motor. It trades about 0.02 of its potential returns per unit of risk. Ford Motor is currently generating about 0.01 per unit of risk. If you would invest 2,211 in Li Auto on August 24, 2024 and sell it today you would earn a total of 49.00 from holding Li Auto or generate 2.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Li Auto vs. Ford Motor
Performance |
Timeline |
Li Auto |
Ford Motor |
Li Auto and Ford Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Li Auto and Ford
The main advantage of trading using opposite Li Auto and Ford positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Li Auto position performs unexpectedly, Ford 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 Ford will offset losses from the drop in Ford's long position.The idea behind Li Auto and Ford Motor 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.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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Other Complementary Tools
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |