Correlation Between Kaltura and Li Auto

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

Diversification Opportunities for Kaltura and Li Auto

-0.52
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Kaltura and Li Auto is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Kaltura and Li Auto in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Li Auto and Kaltura 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 Kaltura 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 Kaltura i.e., Kaltura and Li Auto go up and down completely randomly.

Pair Corralation between Kaltura and Li Auto

Given the investment horizon of 90 days Kaltura is expected to generate 1.61 times more return on investment than Li Auto. However, Kaltura is 1.61 times more volatile than Li Auto. It trades about 0.11 of its potential returns per unit of risk. Li Auto is currently generating about -0.07 per unit of risk. If you would invest  200.00  in Kaltura on September 18, 2024 and sell it today you would earn a total of  19.50  from holding Kaltura or generate 9.75% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy95.24%
ValuesDaily Returns

Kaltura  vs.  Li Auto

 Performance 
       Timeline  
Kaltura 

Risk-Adjusted Performance

14 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Kaltura are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. Even with relatively unsteady basic indicators, Kaltura reported solid returns over the last few months and may actually be approaching a breakup point.
Li Auto 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Li Auto are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. Despite fairly unfluctuating forward indicators, Li Auto may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Kaltura and Li Auto Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Kaltura and Li Auto

The main advantage of trading using opposite Kaltura and Li Auto positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kaltura 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 Kaltura 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 Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.

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