Correlation Between Polygon Ecosystem and DKargo

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Polygon Ecosystem and DKargo 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 Ecosystem and DKargo into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Polygon Ecosystem Token and dKargo, you can compare the effects of market volatilities on Polygon Ecosystem and DKargo 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 Ecosystem with a short position of DKargo. Check out your portfolio center. Please also check ongoing floating volatility patterns of Polygon Ecosystem and DKargo.

Diversification Opportunities for Polygon Ecosystem and DKargo

0.7
  Correlation Coefficient

Poor diversification

The 3 months correlation between Polygon and DKargo is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Polygon Ecosystem Token and dKargo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on dKargo and Polygon Ecosystem 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 Ecosystem Token are associated (or correlated) with DKargo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of dKargo has no effect on the direction of Polygon Ecosystem i.e., Polygon Ecosystem and DKargo go up and down completely randomly.

Pair Corralation between Polygon Ecosystem and DKargo

Assuming the 90 days trading horizon Polygon Ecosystem Token is expected to generate 1.14 times more return on investment than DKargo. However, Polygon Ecosystem is 1.14 times more volatile than dKargo. It trades about -0.12 of its potential returns per unit of risk. dKargo is currently generating about -0.16 per unit of risk. If you would invest  89.00  in Polygon Ecosystem Token on February 7, 2024 and sell it today you would lose (16.00) from holding Polygon Ecosystem Token or give up 17.98% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Polygon Ecosystem Token  vs.  dKargo

 Performance 
       Timeline  
Polygon Ecosystem Token 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Polygon Ecosystem Token are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady essential indicators, Polygon Ecosystem exhibited solid returns over the last few months and may actually be approaching a breakup point.
dKargo 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in dKargo are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, DKargo may actually be approaching a critical reversion point that can send shares even higher in June 2024.

Polygon Ecosystem and DKargo Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Polygon Ecosystem and DKargo

The main advantage of trading using opposite Polygon Ecosystem and DKargo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polygon Ecosystem position performs unexpectedly, DKargo 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 DKargo will offset losses from the drop in DKargo's long position.
The idea behind Polygon Ecosystem Token and dKargo 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 Stocks Directory module to find actively traded stocks across global markets.

Other Complementary Tools

Idea Optimizer
Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency
Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals
Transaction History
View history of all your transactions and understand their impact on performance
Sectors
List of equity sectors categorizing publicly traded companies based on their primary business activities
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Crypto Correlations
Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins
Equity Valuation
Check real value of public entities based on technical and fundamental data
ETFs
Find actively traded Exchange Traded Funds (ETF) from around the world
Volatility Analysis
Get historical volatility and risk analysis based on latest market data