Correlation Between Polygon and Waves

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

Diversification Opportunities for Polygon and Waves

0.72
  Correlation Coefficient

Poor diversification

The 3 months correlation between Polygon and Waves is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Polygon and Waves in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Waves 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 Waves. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Waves has no effect on the direction of Polygon i.e., Polygon and Waves go up and down completely randomly.

Pair Corralation between Polygon and Waves

Assuming the 90 days trading horizon Polygon is expected to generate 0.86 times more return on investment than Waves. However, Polygon is 1.16 times less risky than Waves. It trades about 0.02 of its potential returns per unit of risk. Waves is currently generating about 0.01 per unit of risk. If you would invest  74.00  in Polygon on January 19, 2024 and sell it today you would lose (7.00) from holding Polygon or give up 9.46% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Polygon  vs.  Waves

 Performance 
       Timeline  
Polygon 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
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 latest unsteady 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 Polygon shareholders.
Waves 

Risk-Adjusted Performance

3 of 100

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

Polygon and Waves Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Polygon and Waves

The main advantage of trading using opposite Polygon and Waves positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polygon position performs unexpectedly, Waves 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 Waves will offset losses from the drop in Waves' long position.
The idea behind Polygon and Waves 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

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