Correlation Between Monster Beverage and Li Auto
Can any of the company-specific risk be diversified away by investing in both Monster Beverage and Li 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 Monster Beverage and Li Auto into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Monster Beverage Corp and Li Auto, you can compare the effects of market volatilities on Monster Beverage and Li 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 Monster Beverage with a short position of Li Auto. Check out your portfolio center. Please also check ongoing floating volatility patterns of Monster Beverage and Li Auto.
Diversification Opportunities for Monster Beverage and Li Auto
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Monster and Li Auto is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Monster Beverage Corp and Li Auto in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Li Auto and Monster Beverage 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 Monster Beverage Corp are associated (or correlated) with Li Auto. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Li Auto has no effect on the direction of Monster Beverage i.e., Monster Beverage and Li Auto go up and down completely randomly.
Pair Corralation between Monster Beverage and Li Auto
Given the investment horizon of 90 days Monster Beverage is expected to generate 3.19 times less return on investment than Li Auto. But when comparing it to its historical volatility, Monster Beverage Corp is 2.4 times less risky than Li Auto. It trades about 0.04 of its potential returns per unit of risk. Li Auto is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 2,044 in Li Auto on September 1, 2024 and sell it today you would earn a total of 324.00 from holding Li Auto or generate 15.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Monster Beverage Corp vs. Li Auto
Performance |
Timeline |
Monster Beverage Corp |
Li Auto |
Monster Beverage and Li Auto Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Monster Beverage and Li Auto
The main advantage of trading using opposite Monster Beverage and Li Auto positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Monster Beverage position performs unexpectedly, Li 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 Li Auto will offset losses from the drop in Li Auto's long position.Monster Beverage vs. Coca Cola Femsa SAB | Monster Beverage vs. National Beverage Corp | Monster Beverage vs. Embotelladora Andina SA |
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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
Other Complementary Tools
Global Correlations Find global opportunities by holding instruments from different markets | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |