Correlation Between YY and EverQuote

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

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

Diversification Opportunities for YY and EverQuote

0.02

Correlation Coefficient

YY  EverQuote

Significant diversification

The 3 months correlation between YY and EverQuote is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding YY Inc Class and EverQuote Class A in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EverQuote Class A and YY 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 YY Inc Class are associated (or correlated) with EverQuote. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EverQuote Class A has no effect on the direction of YY i.e., YY and EverQuote go up and down completely randomly.

Pair Corralation between YY and EverQuote

Allowing for the 90-day total investment horizon YY Inc Class is expected to generate 1.52 times more return on investment than EverQuote. However, YY is 1.52 times more volatile than EverQuote Class A. It trades about 0.24 of its potential returns per unit of risk. EverQuote Class A is currently generating about -0.19 per unit of risk. If you would invest  3,386  in YY Inc Class on September 12, 2024 and sell it today you would earn a total of  660.00  from holding YY Inc Class or generate 19.49% return on investment over 90 days.

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

YY Inc Class  vs.  EverQuote Class A

YY Inc Class

Risk-Adjusted Performance

6 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in YY Inc Class are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of fairly weak basic indicators, YY showed solid returns over the last few months and may actually be approaching a breakup point.

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.

Pair Trading with YY and EverQuote

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

The idea behind YY Inc Class and EverQuote Class A 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.