Correlation Between Meta Platforms and Match

Can any of the company-specific risk be diversified away by investing in both Meta Platforms and Match 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 Meta Platforms and Match into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Meta Platforms and Match Group, you can compare the effects of market volatilities on Meta Platforms and Match 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 Meta Platforms with a short position of Match. Check out your portfolio center. Please also check ongoing floating volatility patterns of Meta Platforms and Match.

Diversification Opportunities for Meta Platforms and Match

-0.13

Correlation Coefficient

Meta Platforms  Match

Good diversification

The 3 months correlation between Meta and Match is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Meta Platforms and Match Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Match Group and Meta Platforms 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 Meta Platforms are associated (or correlated) with Match. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Match Group has no effect on the direction of Meta Platforms i.e., Meta Platforms and Match go up and down completely randomly.

Pair Corralation between Meta Platforms and Match

Given the investment horizon of 90 days Meta Platforms is expected to generate 0.56 times more return on investment than Match. However, Meta Platforms is 1.78 times less risky than Match. It trades about 0.19 of its potential returns per unit of risk. Match Group is currently generating about -0.04 per unit of risk. If you would invest  52,510  in Meta Platforms on September 12, 2024 and sell it today you would earn a total of  10,758  from holding Meta Platforms or generate 20.49% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

Meta Platforms  vs.  Match Group

Meta Platforms

Risk-Adjusted Performance

15 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Meta Platforms are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. Despite somewhat conflicting basic indicators, Meta Platforms sustained solid returns over the last few months and may actually be approaching a breakup point.

Match Group

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Match Group has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest fragile performance, the Stock's fundamental indicators remain strong and the recent confusion on Wall Street may also be a sign of long-lasting gains for the firm traders.

Pair Trading with Meta Platforms and Match

The main advantage of trading using opposite Meta Platforms and Match positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meta Platforms position performs unexpectedly, Match 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 Match will offset losses from the drop in Match's long position.

The idea behind Meta Platforms and Match Group 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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.