Correlation Between Polygon and AST

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Can any of the company-specific risk be diversified away by investing in both Polygon and AST 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 AST into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Polygon and AST, you can compare the effects of market volatilities on Polygon and AST 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 AST. Check out your portfolio center. Please also check ongoing floating volatility patterns of Polygon and AST.

Diversification Opportunities for Polygon and AST

0.94
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Polygon and AST is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Polygon and AST in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AST 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 AST. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AST has no effect on the direction of Polygon i.e., Polygon and AST go up and down completely randomly.

Pair Corralation between Polygon and AST

Assuming the 90 days trading horizon Polygon is expected to generate 0.92 times more return on investment than AST. However, Polygon is 1.09 times less risky than AST. It trades about -0.21 of its potential returns per unit of risk. AST is currently generating about -0.36 per unit of risk. If you would invest  45.00  in Polygon on December 30, 2024 and sell it today you would lose (25.00) from holding Polygon or give up 55.56% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Polygon  vs.  AST

 Performance 
       Timeline  
Polygon 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
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.
AST 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days AST 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 AST shareholders.

Polygon and AST Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Polygon and AST

The main advantage of trading using opposite Polygon and AST positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polygon position performs unexpectedly, AST 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 AST will offset losses from the drop in AST's long position.
The idea behind Polygon and AST 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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.

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