Correlation Between NYSE Composite and Li Auto

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Can any of the company-specific risk be diversified away by investing in both NYSE Composite 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 NYSE Composite and Li Auto into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Li Auto, you can compare the effects of market volatilities on NYSE Composite 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 NYSE Composite with a short position of Li Auto. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Li Auto.

Diversification Opportunities for NYSE Composite and Li Auto

-0.01
  Correlation Coefficient

Good diversification

The 3 months correlation between NYSE and Li Auto is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Li Auto in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Li Auto and NYSE Composite 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 NYSE Composite 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 NYSE Composite i.e., NYSE Composite and Li Auto go up and down completely randomly.
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Pair Corralation between NYSE Composite and Li Auto

Assuming the 90 days trading horizon NYSE Composite is expected to generate 10.28 times less return on investment than Li Auto. But when comparing it to its historical volatility, NYSE Composite is 5.01 times less risky than Li Auto. It trades about 0.02 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  2,427  in Li Auto on December 29, 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 Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

NYSE Composite  vs.  Li Auto

 Performance 
       Timeline  

NYSE Composite and Li Auto Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and Li Auto

The main advantage of trading using opposite NYSE Composite and Li Auto positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite 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.
The idea behind NYSE Composite and Li Auto 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.
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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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.

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