Correlation Between EigenLayer and MTA
Can any of the company-specific risk be diversified away by investing in both EigenLayer and MTA 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 MTA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EigenLayer and MTA, you can compare the effects of market volatilities on EigenLayer and MTA 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 MTA. Check out your portfolio center. Please also check ongoing floating volatility patterns of EigenLayer and MTA.
Diversification Opportunities for EigenLayer and MTA
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between EigenLayer and MTA is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and MTA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MTA 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 MTA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MTA has no effect on the direction of EigenLayer i.e., EigenLayer and MTA go up and down completely randomly.
Pair Corralation between EigenLayer and MTA
Assuming the 90 days trading horizon EigenLayer is expected to generate 6.07 times more return on investment than MTA. However, EigenLayer is 6.07 times more volatile than MTA. It trades about 0.13 of its potential returns per unit of risk. MTA is currently generating about 0.13 per unit of risk. If you would invest 0.00 in EigenLayer on September 12, 2024 and sell it today you would earn a total of 506.00 from holding EigenLayer or generate 9.223372036854776E16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.46% |
Values | Daily Returns |
EigenLayer vs. MTA
Performance |
Timeline |
EigenLayer |
MTA |
EigenLayer and MTA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with EigenLayer and MTA
The main advantage of trading using opposite EigenLayer and MTA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EigenLayer position performs unexpectedly, MTA 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 MTA will offset losses from the drop in MTA's long position.The idea behind EigenLayer and MTA 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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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