Correlation Between Polygon and Cosmos

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

Diversification Opportunities for Polygon and Cosmos

0.93
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Polygon and Cosmos is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Polygon and Cosmos in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cosmos 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 Cosmos. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cosmos has no effect on the direction of Polygon i.e., Polygon and Cosmos go up and down completely randomly.

Pair Corralation between Polygon and Cosmos

Assuming the 90 days trading horizon Polygon is expected to under-perform the Cosmos. In addition to that, Polygon is 1.05 times more volatile than Cosmos. It trades about -0.29 of its total potential returns per unit of risk. Cosmos is currently generating about -0.28 per unit of volatility. If you would invest  1,164  in Cosmos on January 20, 2024 and sell it today you would lose (344.00) from holding Cosmos or give up 29.55% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Polygon  vs.  Cosmos

 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.
Cosmos 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Cosmos has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, Cosmos is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Polygon and Cosmos Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Polygon and Cosmos

The main advantage of trading using opposite Polygon and Cosmos positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polygon position performs unexpectedly, Cosmos 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 Cosmos will offset losses from the drop in Cosmos' long position.
The idea behind Polygon and Cosmos 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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.

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