Correlation Between IOTA and EigenLayer

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

Diversification Opportunities for IOTA and EigenLayer

0.66
  Correlation Coefficient

Poor diversification

The 3 months correlation between IOTA and EigenLayer is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding IOTA and EigenLayer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EigenLayer and IOTA 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 IOTA are associated (or correlated) with EigenLayer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EigenLayer has no effect on the direction of IOTA i.e., IOTA and EigenLayer go up and down completely randomly.

Pair Corralation between IOTA and EigenLayer

Assuming the 90 days trading horizon IOTA is expected to generate 0.77 times more return on investment than EigenLayer. However, IOTA is 1.3 times less risky than EigenLayer. It trades about -0.2 of its potential returns per unit of risk. EigenLayer is currently generating about -0.27 per unit of risk. If you would invest  30.00  in IOTA on November 9, 2024 and sell it today you would lose (9.00) from holding IOTA or give up 30.0% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

IOTA  vs.  EigenLayer

 Performance 
       Timeline  
IOTA 

Risk-Adjusted Performance

OK

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in IOTA are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, IOTA exhibited solid returns over the last few months and may actually be approaching a breakup point.
EigenLayer 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
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.

IOTA and EigenLayer Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with IOTA and EigenLayer

The main advantage of trading using opposite IOTA and EigenLayer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IOTA position performs unexpectedly, EigenLayer 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 EigenLayer will offset losses from the drop in EigenLayer's long position.
The idea behind IOTA and EigenLayer 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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.

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