Correlation Between Chindata Group and Meta Platforms

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Chindata Group and Meta Platforms 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 Chindata Group and Meta Platforms into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chindata Group Holdings and Meta Platforms, you can compare the effects of market volatilities on Chindata Group and Meta Platforms 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 Chindata Group with a short position of Meta Platforms. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chindata Group and Meta Platforms.

Diversification Opportunities for Chindata Group and Meta Platforms

0.02
  Correlation Coefficient

Significant diversification

The 3 months correlation between Chindata and Meta is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Chindata Group Holdings and Meta Platforms in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Meta Platforms and Chindata Group 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 Chindata Group Holdings are associated (or correlated) with Meta Platforms. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Meta Platforms has no effect on the direction of Chindata Group i.e., Chindata Group and Meta Platforms go up and down completely randomly.

Pair Corralation between Chindata Group and Meta Platforms

If you would invest  16,949  in Meta Platforms on January 20, 2024 and sell it today you would earn a total of  0.00  from holding Meta Platforms or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Chindata Group Holdings  vs.  Meta Platforms

 Performance 
       Timeline  
Chindata Group Holdings 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Chindata Group Holdings has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound fundamental indicators, Chindata Group is not utilizing all of its potentials. The newest stock price tumult, may contribute to shorter-term losses for the shareholders.
Meta Platforms 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Meta Platforms has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong fundamental drivers, Meta Platforms is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Chindata Group and Meta Platforms Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Chindata Group and Meta Platforms

The main advantage of trading using opposite Chindata Group and Meta Platforms positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chindata Group position performs unexpectedly, Meta Platforms 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 Meta Platforms will offset losses from the drop in Meta Platforms' long position.
The idea behind Chindata Group Holdings and Meta Platforms 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.
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.

Other Complementary Tools

Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments
Share Portfolio
Track or share privately all of your investments from the convenience of any device
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Bonds Directory
Find actively traded corporate debentures issued by US companies
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges