Correlation Between EverQuote and Jiayin

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

Diversification Opportunities for EverQuote and Jiayin

0.82

Correlation Coefficient

EverQuote  Jiayin

Very poor diversification

The 3 months correlation between EverQuote and Jiayin is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding EverQuote Class A and Jiayin Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jiayin Group 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 Jiayin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jiayin Group has no effect on the direction of EverQuote i.e., EverQuote and Jiayin go up and down completely randomly.

Pair Corralation between EverQuote and Jiayin

Given the investment horizon of 90 days EverQuote is expected to generate 2.57 times less return on investment than Jiayin. But when comparing it to its historical volatility, EverQuote Class A is 1.59 times less risky than Jiayin. It trades about 0.12 of its potential returns per unit of risk. Jiayin Group is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest  637.00  in Jiayin Group on December 30, 2024 and sell it today you would earn a total of  758.00  from holding Jiayin Group or generate 119.0% return on investment over 90 days.

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

EverQuote Class A  vs.  Jiayin Group

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.

Jiayin Group

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Jiayin Group are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. In spite of very fragile forward indicators, Jiayin displayed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with EverQuote and Jiayin

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

The idea behind EverQuote Class A and Jiayin 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.