Correlation Between Li Auto and ServiceNow
Can any of the company-specific risk be diversified away by investing in both Li Auto and ServiceNow 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 ServiceNow into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Li Auto and ServiceNow, you can compare the effects of market volatilities on Li Auto and ServiceNow 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 ServiceNow. Check out your portfolio center. Please also check ongoing floating volatility patterns of Li Auto and ServiceNow.
Diversification Opportunities for Li Auto and ServiceNow
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Li Auto and ServiceNow is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Li Auto and ServiceNow in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ServiceNow 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 ServiceNow. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ServiceNow has no effect on the direction of Li Auto i.e., Li Auto and ServiceNow go up and down completely randomly.
Pair Corralation between Li Auto and ServiceNow
Allowing for the 90-day total investment horizon Li Auto is expected to generate 1.57 times more return on investment than ServiceNow. However, Li Auto is 1.57 times more volatile than ServiceNow. It trades about 0.05 of its potential returns per unit of risk. ServiceNow is currently generating about -0.15 per unit of risk. If you would invest 2,427 in Li Auto on December 28, 2024 and sell it today you would earn a total of 187.00 from holding Li Auto or generate 7.7% 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. ServiceNow
Performance |
Timeline |
Li Auto |
ServiceNow |
Li Auto and ServiceNow Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Li Auto and ServiceNow
The main advantage of trading using opposite Li Auto and ServiceNow positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Li Auto position performs unexpectedly, ServiceNow 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 ServiceNow will offset losses from the drop in ServiceNow's long position.The idea behind Li Auto and ServiceNow 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.ServiceNow vs. Autodesk | ServiceNow vs. Intuit Inc | ServiceNow vs. Zoom Video Communications | ServiceNow vs. Snowflake |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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