Correlation Between EverQuote and Spark Networks

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

Diversification Opportunities for EverQuote and Spark Networks

-0.83
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between EverQuote and Spark is -0.83. Overlapping area represents the amount of risk that can be diversified away by holding EverQuote Class A and Spark Networks SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Spark Networks SE 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 Spark Networks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Spark Networks SE has no effect on the direction of EverQuote i.e., EverQuote and Spark Networks go up and down completely randomly.

Pair Corralation between EverQuote and Spark Networks

Given the investment horizon of 90 days EverQuote Class A is expected to generate 0.27 times more return on investment than Spark Networks. However, EverQuote Class A is 3.64 times less risky than Spark Networks. It trades about 0.04 of its potential returns per unit of risk. Spark Networks SE is currently generating about -0.06 per unit of risk. If you would invest  1,407  in EverQuote Class A on January 25, 2024 and sell it today you would earn a total of  443.00  from holding EverQuote Class A or generate 31.49% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthSignificant
Accuracy61.59%
ValuesDaily Returns

EverQuote Class A  vs.  Spark Networks SE

 Performance 
       Timeline  
EverQuote Class A 

Risk-Adjusted Performance

13 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in EverQuote Class A are ranked lower than 13 (%) 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.
Spark Networks SE 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Spark Networks SE has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly stable basic indicators, Spark Networks is not utilizing all of its potentials. The current stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

EverQuote and Spark Networks Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with EverQuote and Spark Networks

The main advantage of trading using opposite EverQuote and Spark Networks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EverQuote position performs unexpectedly, Spark Networks 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 Spark Networks will offset losses from the drop in Spark Networks' long position.
The idea behind EverQuote Class A and Spark Networks SE 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 Share Portfolio module to track or share privately all of your investments from the convenience of any device.

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