Correlation Between EverQuote and Comscore

Can any of the company-specific risk be diversified away by investing in both EverQuote and Comscore 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 Comscore 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 Comscore, you can compare the effects of market volatilities on EverQuote and Comscore 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 Comscore. Check out your portfolio center. Please also check ongoing floating volatility patterns of EverQuote and Comscore.

Diversification Opportunities for EverQuote and Comscore

0.12

Correlation Coefficient

EverQuote  Comscore

Average diversification

The 3 months correlation between EverQuote and Comscore is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding EverQuote Class A and Comscore in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Comscore 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 Comscore. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Comscore has no effect on the direction of EverQuote i.e., EverQuote and Comscore go up and down completely randomly.

Pair Corralation between EverQuote and Comscore

Given the investment horizon of 90 days EverQuote Class A is expected to generate 0.89 times more return on investment than Comscore. However, EverQuote Class A is 1.12 times less risky than Comscore. It trades about 0.12 of its potential returns per unit of risk. Comscore is currently generating about -0.07 per unit of risk. If you would invest  1,919  in EverQuote Class A on November 29, 2024 and sell it today you would earn a total of  643.00  from holding EverQuote Class A or generate 33.51% return on investment over 90 days.

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

EverQuote Class A  vs.  Comscore

EverQuote Class A

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in EverQuote Class A are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Even with relatively unfluctuating technical and fundamental indicators, EverQuote reported solid returns over the last few months and may actually be approaching a breakup point.

Comscore

Risk-Adjusted Performance

Very Weak

Over the last 90 days Comscore has generated negative risk-adjusted returns adding no value to investors with long positions. Even with weak performance in the last few months, the Stock's basic indicators remain relatively invariable which may send shares a bit higher in March 2025. The latest agitation may also be a sign of long-running up-swing for the enterprise retail investors.

Pair Trading with EverQuote and Comscore

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

The idea behind EverQuote Class A and Comscore 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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.