Correlation Between EigenLayer and POCC

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

Diversification Opportunities for EigenLayer and POCC

0.75
  Correlation Coefficient

Poor diversification

The 3 months correlation between EigenLayer and POCC is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and POCC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on POCC and EigenLayer 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 EigenLayer are associated (or correlated) with POCC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of POCC has no effect on the direction of EigenLayer i.e., EigenLayer and POCC go up and down completely randomly.

Pair Corralation between EigenLayer and POCC

Assuming the 90 days trading horizon EigenLayer is expected to under-perform the POCC. In addition to that, EigenLayer is 2.52 times more volatile than POCC. It trades about -0.27 of its total potential returns per unit of risk. POCC is currently generating about -0.02 per unit of volatility. If you would invest  0.02  in POCC on November 7, 2024 and sell it today you would lose  0.00  from holding POCC or give up 2.37% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy95.45%
ValuesDaily Returns

EigenLayer  vs.  POCC

 Performance 
       Timeline  
EigenLayer 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days EigenLayer 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 March 2025. The latest tumult may also be a sign of longer-term up-swing for EigenLayer shareholders.
POCC 

Risk-Adjusted Performance

5 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in POCC are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, POCC exhibited solid returns over the last few months and may actually be approaching a breakup point.

EigenLayer and POCC Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with EigenLayer and POCC

The main advantage of trading using opposite EigenLayer and POCC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EigenLayer position performs unexpectedly, POCC 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 POCC will offset losses from the drop in POCC's long position.
The idea behind EigenLayer and POCC 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.

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