Correlation Between Polygon and ZEN

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

Diversification Opportunities for Polygon and ZEN

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between Polygon and ZEN is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Polygon and ZEN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ZEN 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 ZEN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ZEN has no effect on the direction of Polygon i.e., Polygon and ZEN go up and down completely randomly.

Pair Corralation between Polygon and ZEN

If you would invest  76.00  in Polygon on January 25, 2024 and sell it today you would lose (3.00) from holding Polygon or give up 3.95% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

Polygon  vs.  ZEN

 Performance 
       Timeline  
Polygon 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Polygon are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound fundamental indicators, Polygon is not utilizing all of its potentials. The current stock price tumult, may contribute to shorter-term losses for the shareholders.
ZEN 

Risk-Adjusted Performance

5 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in ZEN are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of rather weak basic indicators, ZEN exhibited solid returns over the last few months and may actually be approaching a breakup point.

Polygon and ZEN Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Polygon and ZEN

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