Correlation Between Avalanche and Polygon

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

Diversification Opportunities for Avalanche and Polygon

0.93
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Avalanche and Polygon is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Avalanche and Polygon in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polygon and Avalanche 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 Avalanche 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 Avalanche i.e., Avalanche and Polygon go up and down completely randomly.

Pair Corralation between Avalanche and Polygon

Assuming the 90 days trading horizon Avalanche is expected to generate 0.96 times more return on investment than Polygon. However, Avalanche is 1.05 times less risky than Polygon. It trades about 0.05 of its potential returns per unit of risk. Polygon is currently generating about 0.04 per unit of risk. If you would invest  2,308  in Avalanche on May 15, 2025 and sell it today you would earn a total of  162.00  from holding Avalanche or generate 7.02% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Avalanche  vs.  Polygon

 Performance 
       Timeline  
Avalanche 

Risk-Adjusted Performance

Soft

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Avalanche are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Avalanche exhibited solid returns over the last few months and may actually be approaching a breakup point.
Polygon 

Risk-Adjusted Performance

Weak

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Polygon are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Polygon may actually be approaching a critical reversion point that can send shares even higher in September 2025.

Avalanche and Polygon Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Avalanche and Polygon

The main advantage of trading using opposite Avalanche and Polygon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Avalanche 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 Avalanche 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.
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.

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