Correlation Between Li Auto and Safety Shot
Can any of the company-specific risk be diversified away by investing in both Li Auto and Safety Shot 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 Safety Shot into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Li Auto and Safety Shot, you can compare the effects of market volatilities on Li Auto and Safety Shot 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 Safety Shot. Check out your portfolio center. Please also check ongoing floating volatility patterns of Li Auto and Safety Shot.
Diversification Opportunities for Li Auto and Safety Shot
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Li Auto and Safety is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Li Auto and Safety Shot in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Safety Shot 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 Safety Shot. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Safety Shot has no effect on the direction of Li Auto i.e., Li Auto and Safety Shot go up and down completely randomly.
Pair Corralation between Li Auto and Safety Shot
Allowing for the 90-day total investment horizon Li Auto is expected to generate 0.71 times more return on investment than Safety Shot. However, Li Auto is 1.42 times less risky than Safety Shot. It trades about 0.22 of its potential returns per unit of risk. Safety Shot is currently generating about -0.2 per unit of risk. If you would invest 2,280 in Li Auto on October 1, 2024 and sell it today you would earn a total of 269.00 from holding Li Auto or generate 11.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Li Auto vs. Safety Shot
Performance |
Timeline |
Li Auto |
Safety Shot |
Li Auto and Safety Shot Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Li Auto and Safety Shot
The main advantage of trading using opposite Li Auto and Safety Shot positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Li Auto position performs unexpectedly, Safety Shot 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 Safety Shot will offset losses from the drop in Safety Shot's long position.The idea behind Li Auto and Safety Shot 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.Safety Shot vs. Pinterest | Safety Shot vs. Merit Medical Systems | Safety Shot vs. Weibo Corp | Safety Shot vs. Sphere Entertainment Co |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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