Correlation Between JAR and Polygon Ecosystem

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

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

Diversification Opportunities for JAR and Polygon Ecosystem

0.4

Correlation Coefficient

JAR  Polygon Ecosystem

Very weak diversification

The 3 months correlation between JAR and Polygon is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding JAR and Polygon Ecosystem Token in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polygon Ecosystem Token and JAR 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 JAR are associated (or correlated) with Polygon Ecosystem. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polygon Ecosystem Token has no effect on the direction of JAR i.e., JAR and Polygon Ecosystem go up and down completely randomly.

Pair Corralation between JAR and Polygon Ecosystem

Assuming the 90 days trading horizon JAR is expected to generate 0.74 times more return on investment than Polygon Ecosystem. However, JAR is 1.35 times less risky than Polygon Ecosystem. It trades about 0.17 of its potential returns per unit of risk. Polygon Ecosystem Token is currently generating about 0.12 per unit of risk. If you would invest  0.24  in JAR on August 30, 2024 and sell it today you would earn a total of  0.10  from holding JAR or generate 42.58% return on investment over 90 days.

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

JAR  vs.  Polygon Ecosystem Token

JAR

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in JAR are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, JAR exhibited solid returns over the last few months and may actually be approaching a breakup point.

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.

Pair Trading with JAR and Polygon Ecosystem

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

The idea behind JAR and Polygon Ecosystem Token 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.