Correlation Between PAY and CAPP

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

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

Diversification Opportunities for PAY and CAPP

-0.3

Correlation Coefficient

PAY  CAPP

Very good diversification

The 3 months correlation between PAY and CAPP is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding PAY and CAPP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CAPP and PAY 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 PAY are associated (or correlated) with CAPP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CAPP has no effect on the direction of PAY i.e., PAY and CAPP go up and down completely randomly.

Pair Corralation between PAY and CAPP

Assuming the 90 days trading horizon PAY is expected to generate 3.31 times less return on investment than CAPP. But when comparing it to its historical volatility, PAY is 2.24 times less risky than CAPP. It trades about 0.03 of its potential returns per unit of risk. CAPP is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest  0.01  in CAPP on January 18, 2024 and sell it today you would lose (0.01) from holding CAPP or give up 49.11% of portfolio value over 90 days.

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

PAY  vs.  CAPP

PAY

Risk-Adjusted Performance

6 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in PAY are ranked lower than 6 (%) 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.

CAPP

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days CAPP has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's basic indicators remain rather sound which may send shares a bit higher in May 2024. The latest tumult may also be a sign of longer-term up-swing for CAPP shareholders.

Pair Trading with PAY and CAPP

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

The idea behind PAY and CAPP 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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.