Correlation Between EverQuote and Meta Platforms

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

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

Diversification Opportunities for EverQuote and Meta Platforms

-0.62

Correlation Coefficient

EverQuote  Meta Platforms

Excellent diversification

The 3 months correlation between EverQuote and Meta is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding EverQuote Class A and Meta Platforms in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Meta Platforms and EverQuote 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 EverQuote Class A 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 EverQuote i.e., EverQuote and Meta Platforms go up and down completely randomly.

Pair Corralation between EverQuote and Meta Platforms

Given the investment horizon of 90 days EverQuote Class A is expected to under-perform the Meta Platforms. In addition to that, EverQuote is 2.5 times more volatile than Meta Platforms. It trades about -0.04 of its total potential returns per unit of risk. Meta Platforms is currently generating about 0.13 per unit of volatility. If you would invest  51,127  in Meta Platforms on September 1, 2024 and sell it today you would earn a total of  6,305  from holding Meta Platforms or generate 12.33% return on investment over 90 days.

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

EverQuote Class A  vs.  Meta Platforms

EverQuote Class A

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days EverQuote Class A has generated negative risk-adjusted returns adding no value to investors with long positions. Even with latest unfluctuating performance, the Stock's technical and fundamental indicators remain invariable and the latest agitation on Wall Street may also be a sign of long-running gains for the enterprise retail investors.

Meta Platforms

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Meta Platforms are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Meta Platforms may actually be approaching a critical reversion point that can send shares even higher in December 2024.

Pair Trading with EverQuote and Meta Platforms

The main advantage of trading using opposite EverQuote and Meta Platforms positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EverQuote 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 EverQuote Class A 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.

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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.