Correlation Between Pyth Network and DGD

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

Diversification Opportunities for Pyth Network and DGD

0.88
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Pyth and DGD is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Pyth Network and DGD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DGD and Pyth Network 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 Pyth Network are associated (or correlated) with DGD. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DGD has no effect on the direction of Pyth Network i.e., Pyth Network and DGD go up and down completely randomly.

Pair Corralation between Pyth Network and DGD

Assuming the 90 days trading horizon Pyth Network is expected to generate 11.99 times less return on investment than DGD. But when comparing it to its historical volatility, Pyth Network is 2.93 times less risky than DGD. It trades about 0.02 of its potential returns per unit of risk. DGD is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest  12,664  in DGD on August 27, 2024 and sell it today you would earn a total of  94,878  from holding DGD or generate 749.19% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy45.15%
ValuesDaily Returns

Pyth Network  vs.  DGD

 Performance 
       Timeline  
Pyth Network 

Risk-Adjusted Performance

11 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Pyth Network are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Pyth Network exhibited solid returns over the last few months and may actually be approaching a breakup point.
DGD 

Risk-Adjusted Performance

20 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in DGD are ranked lower than 20 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, DGD exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pyth Network and DGD Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Pyth Network and DGD

The main advantage of trading using opposite Pyth Network and DGD positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pyth Network position performs unexpectedly, DGD 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 DGD will offset losses from the drop in DGD's long position.
The idea behind Pyth Network and DGD 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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.

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