Correlation Between Polygon and Maker

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

Diversification Opportunities for Polygon and Maker

0.11
  Correlation Coefficient

Average diversification

The 3 months correlation between Polygon and Maker is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Polygon and Maker in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Maker 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 Maker. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Maker has no effect on the direction of Polygon i.e., Polygon and Maker go up and down completely randomly.

Pair Corralation between Polygon and Maker

Assuming the 90 days trading horizon Polygon is expected to under-perform the Maker. But the crypto coin apears to be less risky and, when comparing its historical volatility, Polygon is 1.19 times less risky than Maker. The crypto coin trades about -0.3 of its potential returns per unit of risk. The Maker is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest  337,806  in Maker on January 20, 2024 and sell it today you would lose (37,705) from holding Maker or give up 11.16% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Polygon  vs.  Maker

 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 rather sound fundamental indicators, Polygon is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.
Maker 

Risk-Adjusted Performance

12 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Maker are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Maker exhibited solid returns over the last few months and may actually be approaching a breakup point.

Polygon and Maker Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Polygon and Maker

The main advantage of trading using opposite Polygon and Maker positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polygon position performs unexpectedly, Maker 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 Maker will offset losses from the drop in Maker's long position.
The idea behind Polygon and Maker 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 Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.

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