Correlation Between Polygon and XIN

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

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

Diversification Opportunities for Polygon and XIN

0.96

Correlation Coefficient

Polygon  XIN

Almost no diversification

The 3 months correlation between Polygon and XIN is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Polygon and XIN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on XIN and Polygon 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 are associated (or correlated) with XIN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of XIN has no effect on the direction of Polygon i.e., Polygon and XIN go up and down completely randomly.

Pair Corralation between Polygon and XIN

Assuming the 90 days trading horizon Polygon is expected to under-perform the XIN. In addition to that, Polygon is 1.67 times more volatile than XIN. It trades about -0.21 of its total potential returns per unit of risk. XIN is currently generating about -0.2 per unit of volatility. If you would invest  15,673  in XIN on December 30, 2024 and sell it today you would lose (5,612) from holding XIN or give up 35.81% of portfolio value over 90 days.

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

Polygon  vs.  XIN

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.

XIN

Risk-Adjusted Performance

Very Weak

Over the last 90 days XIN 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 XIN shareholders.

Pair Trading with Polygon and XIN

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

The idea behind Polygon and XIN 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.