Correlation Between Polygon Ecosystem and PING

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

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

Diversification Opportunities for Polygon Ecosystem and PING

-0.07

Correlation Coefficient

Polygon Ecosystem  PING

Good diversification

The 3 months correlation between Polygon and PING is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Polygon Ecosystem Token and PING in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PING and Polygon Ecosystem 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 Polygon Ecosystem Token are associated (or correlated) with PING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PING has no effect on the direction of Polygon Ecosystem i.e., Polygon Ecosystem and PING go up and down completely randomly.

Pair Corralation between Polygon Ecosystem and PING

If you would invest  16.00  in PING on February 7, 2024 and sell it today you would earn a total of  0.00  from holding PING or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	4.76%
Values	Daily Returns

Polygon Ecosystem Token  vs.  PING

Polygon Ecosystem Token

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Polygon Ecosystem Token are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady essential indicators, Polygon Ecosystem exhibited solid returns over the last few months and may actually be approaching a breakup point.

PING

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days PING has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, PING is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with Polygon Ecosystem and PING

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

The idea behind Polygon Ecosystem Token and PING 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.