Correlation Between Pyth Network and HEDG

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

Diversification Opportunities for Pyth Network and HEDG

0.65
  Correlation Coefficient

Poor diversification

The 3 months correlation between Pyth and HEDG is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Pyth Network and HEDG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HEDG 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 HEDG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HEDG has no effect on the direction of Pyth Network i.e., Pyth Network and HEDG go up and down completely randomly.

Pair Corralation between Pyth Network and HEDG

Assuming the 90 days trading horizon Pyth Network is expected to under-perform the HEDG. In addition to that, Pyth Network is 2.9 times more volatile than HEDG. It trades about -0.16 of its total potential returns per unit of risk. HEDG is currently generating about -0.07 per unit of volatility. If you would invest  5.32  in HEDG on December 29, 2024 and sell it today you would lose (0.62) from holding HEDG or give up 11.65% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Pyth Network  vs.  HEDG

 Performance 
       Timeline  
Pyth Network 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Pyth Network has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's fundamental indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for Pyth Network shareholders.
HEDG 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days HEDG has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unsteady performance, the Crypto's fundamental indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for HEDG shareholders.

Pyth Network and HEDG Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Pyth Network and HEDG

The main advantage of trading using opposite Pyth Network and HEDG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pyth Network position performs unexpectedly, HEDG 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 HEDG will offset losses from the drop in HEDG's long position.
The idea behind Pyth Network and HEDG 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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.

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