Correlation Between Polygon Ecosystem and SC

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Can any of the company-specific risk be diversified away by investing in both Polygon Ecosystem and SC 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 SC 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 SC, you can compare the effects of market volatilities on Polygon Ecosystem and SC 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 SC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Polygon Ecosystem and SC.

Diversification Opportunities for Polygon Ecosystem and SC

0.92
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Polygon and SC is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Polygon Ecosystem Token and SC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SC 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 SC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SC has no effect on the direction of Polygon Ecosystem i.e., Polygon Ecosystem and SC go up and down completely randomly.

Pair Corralation between Polygon Ecosystem and SC

Assuming the 90 days trading horizon Polygon Ecosystem Token is expected to under-perform the SC. In addition to that, Polygon Ecosystem is 1.37 times more volatile than SC. It trades about -0.03 of its total potential returns per unit of risk. SC is currently generating about -0.02 per unit of volatility. If you would invest  0.39  in SC on February 7, 2025 and sell it today you would lose (0.05) from holding SC or give up 11.59% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Polygon Ecosystem Token  vs.  SC

 Performance 
       Timeline  
Polygon Ecosystem Token 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Polygon Ecosystem Token has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest weak performance, the Crypto's essential indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for Polygon Ecosystem Token shareholders.
SC 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days SC has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest weak performance, the Crypto's fundamental indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for SC shareholders.

Polygon Ecosystem and SC Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Polygon Ecosystem and SC

The main advantage of trading using opposite Polygon Ecosystem and SC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polygon Ecosystem position performs unexpectedly, SC 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 SC will offset losses from the drop in SC's long position.
The idea behind Polygon Ecosystem Token and SC 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 Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.

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