Correlation Between 0x and Polygon

Can any of the company-specific risk be diversified away by investing in both 0x and Polygon 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 0x and Polygon into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between 0x and Polygon, you can compare the effects of market volatilities on 0x and Polygon 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 0x with a short position of Polygon. Check out your portfolio center. Please also check ongoing floating volatility patterns of 0x and Polygon.

Diversification Opportunities for 0x and Polygon

0.98

Correlation Coefficient

0x  Polygon

Almost no diversification

The 3 months correlation between 0x and Polygon is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding 0x and Polygon in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polygon and 0x 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 0x are associated (or correlated) with Polygon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polygon has no effect on the direction of 0x i.e., 0x and Polygon go up and down completely randomly.

Pair Corralation between 0x and Polygon

Assuming the 90 days trading horizon 0x is expected to generate 1.0 times more return on investment than Polygon. However, 0x is 1.0 times less risky than Polygon. It trades about -0.16 of its potential returns per unit of risk. Polygon is currently generating about -0.21 per unit of risk. If you would invest  46.00  in 0x on December 30, 2024 and sell it today you would lose (22.00) from holding 0x or give up 47.83% of portfolio value over 90 days.

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

0x  vs.  Polygon

0x

Risk-Adjusted Performance

Very Weak

Over the last 90 days 0x 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 April 2025. The latest tumult may also be a sign of longer-term up-swing for 0x shareholders.

Polygon

Risk-Adjusted Performance

Very Weak

Over the last 90 days Polygon 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 fundamental indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for Polygon shareholders.

Pair Trading with 0x and Polygon

The main advantage of trading using opposite 0x and Polygon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 0x position performs unexpectedly, Polygon 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 will offset losses from the drop in Polygon's long position.

The idea behind 0x and Polygon 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.