Correlation Between Twitter and Meta Platforms

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

Diversification Opportunities for Twitter and Meta Platforms

-0.6
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Twitter and Meta is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Twitter and Meta Platforms in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Meta Platforms and Twitter 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 Twitter 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 Twitter i.e., Twitter and Meta Platforms go up and down completely randomly.

Pair Corralation between Twitter and Meta Platforms

Given the investment horizon of 90 days Twitter is expected to generate 0.79 times more return on investment than Meta Platforms. However, Twitter is 1.27 times less risky than Meta Platforms. It trades about 0.04 of its potential returns per unit of risk. Meta Platforms is currently generating about -0.08 per unit of risk. If you would invest  4,701  in Twitter on December 30, 2023 and sell it today you would earn a total of  669.00  from holding Twitter or generate 14.23% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy38.57%
ValuesDaily Returns

Twitter  vs.  Meta Platforms

 Performance 
       Timeline  
Twitter 

Risk-Adjusted Performance

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Low
 
High
Very Weak
Over the last 90 days Twitter has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable basic indicators, Twitter is not utilizing all of its potentials. The current stock price agitation, may contribute to short-term losses for the retail investors.
Meta Platforms 

Risk-Adjusted Performance

0 of 100

 
Low
 
High
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 recent stock price disturbance, may contribute to short-term losses for the investors.

Twitter and Meta Platforms Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Twitter and Meta Platforms

The main advantage of trading using opposite Twitter and Meta Platforms positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Twitter 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 Twitter 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

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