Correlation Between Match and Meta Platforms

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

Diversification Opportunities for Match and Meta Platforms

0.73
  Correlation Coefficient

Poor diversification

The 3 months correlation between Match and Meta Platforms is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Match Group and Meta Platforms in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Meta Platforms and Match 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 Match Group 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 Match i.e., Match and Meta Platforms go up and down completely randomly.

Pair Corralation between Match and Meta Platforms

Given the investment horizon of 90 days Match Group is expected to generate 1.11 times more return on investment than Meta Platforms. However, Match is 1.11 times more volatile than Meta Platforms. It trades about -0.01 of its potential returns per unit of risk. Meta Platforms is currently generating about -0.05 per unit of risk. If you would invest  8,160  in Match Group on February 27, 2022 and sell it today you would lose (176.00)  from holding Match Group or give up 2.16% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Match Group  vs.  Meta Platforms

 Performance (%) 
      Timeline 
Match Group 
Match Performance
0 of 100
Over the last 90 days Match Group has generated negative risk-adjusted returns adding no value to investors with long positions. Despite conflicting performance in the last few months, the Stock's fundamental indicators remain nearly stable which may send shares a bit higher in June 2022. The current disturbance may also be a sign of long-run up-swing for the company stockholders.

Match Price Channel

Meta Platforms 
Meta Platforms Performance
0 of 100
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 latest stock price disturbance, may contribute to short-term losses for the investors.

Meta Platforms Price Channel

Match and Meta Platforms Volatility Contrast

 Predicted Return Density 
      Returns 

Pair Trading with Match and Meta Platforms

The main advantage of trading using opposite Match and Meta Platforms positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Match 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 Match Group 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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