Correlation Between EigenLayer and Qtum

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

Diversification Opportunities for EigenLayer and Qtum

0.42
  Correlation Coefficient

Very weak diversification

The 3 months correlation between EigenLayer and Qtum is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and Qtum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qtum 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 Qtum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qtum has no effect on the direction of EigenLayer i.e., EigenLayer and Qtum go up and down completely randomly.

Pair Corralation between EigenLayer and Qtum

Assuming the 90 days trading horizon EigenLayer is expected to generate 2.59 times more return on investment than Qtum. However, EigenLayer is 2.59 times more volatile than Qtum. It trades about 0.11 of its potential returns per unit of risk. Qtum is currently generating about 0.06 per unit of risk. If you would invest  98.00  in EigenLayer on April 24, 2025 and sell it today you would earn a total of  51.00  from holding EigenLayer or generate 52.04% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

EigenLayer  vs.  Qtum

 Performance 
       Timeline  
EigenLayer 

Risk-Adjusted Performance

OK

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in EigenLayer are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, EigenLayer exhibited solid returns over the last few months and may actually be approaching a breakup point.
Qtum 

Risk-Adjusted Performance

Insignificant

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Qtum are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Qtum exhibited solid returns over the last few months and may actually be approaching a breakup point.

EigenLayer and Qtum Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with EigenLayer and Qtum

The main advantage of trading using opposite EigenLayer and Qtum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EigenLayer position performs unexpectedly, Qtum 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 Qtum will offset losses from the drop in Qtum's long position.
The idea behind EigenLayer and Qtum 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 Global Correlations module to find global opportunities by holding instruments from different markets.

Other Complementary Tools

My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Transaction History
View history of all your transactions and understand their impact on performance
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Content Syndication
Quickly integrate customizable finance content to your own investment portal