Correlation Between Sei and PAY

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

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

Diversification Opportunities for Sei and PAY

0.6

Correlation Coefficient

Sei  PAY

Poor diversification

The 3 months correlation between Sei and PAY is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Sei and PAY in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PAY and Sei 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 Sei are associated (or correlated) with PAY. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PAY has no effect on the direction of Sei i.e., Sei and PAY go up and down completely randomly.

Pair Corralation between Sei and PAY

Assuming the 90 days trading horizon Sei is expected to generate 2.81 times less return on investment than PAY. But when comparing it to its historical volatility, Sei is 1.16 times less risky than PAY. It trades about 0.08 of its potential returns per unit of risk. PAY is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest  0.31  in PAY on May 7, 2025 and sell it today you would earn a total of  0.50  from holding PAY or generate 161.18% return on investment over 90 days.

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

Sei  vs.  PAY

Sei

Risk-Adjusted Performance

Mild

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

PAY

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in PAY are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, PAY exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Sei and PAY

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

The idea behind Sei and PAY 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.