Correlation Between Polygon and BTM

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

Diversification Opportunities for Polygon and BTM

-0.59
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Polygon and BTM is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Polygon and BTM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BTM 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 BTM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BTM has no effect on the direction of Polygon i.e., Polygon and BTM go up and down completely randomly.

Pair Corralation between Polygon and BTM

Assuming the 90 days trading horizon Polygon is expected to generate 6.18 times less return on investment than BTM. But when comparing it to its historical volatility, Polygon is 3.76 times less risky than BTM. It trades about 0.05 of its potential returns per unit of risk. BTM is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest  0.32  in BTM on April 22, 2025 and sell it today you would earn a total of  0.15  from holding BTM or generate 48.29% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Polygon  vs.  BTM

 Performance 
       Timeline  
Polygon 

Risk-Adjusted Performance

Insignificant

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Polygon are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Polygon exhibited solid returns over the last few months and may actually be approaching a breakup point.
BTM 

Risk-Adjusted Performance

Modest

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in BTM are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady primary indicators, BTM exhibited solid returns over the last few months and may actually be approaching a breakup point.

Polygon and BTM Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Polygon and BTM

The main advantage of trading using opposite Polygon and BTM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polygon position performs unexpectedly, BTM 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 BTM will offset losses from the drop in BTM's long position.
The idea behind Polygon and BTM 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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