Correlation Between MITH and EigenLayer
Can any of the company-specific risk be diversified away by investing in both MITH 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 MITH and EigenLayer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MITH and EigenLayer, you can compare the effects of market volatilities on MITH 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 MITH with a short position of EigenLayer. Check out your portfolio center. Please also check ongoing floating volatility patterns of MITH and EigenLayer.
Diversification Opportunities for MITH and EigenLayer
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between MITH and EigenLayer is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding MITH and EigenLayer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EigenLayer and MITH 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 MITH 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 MITH i.e., MITH and EigenLayer go up and down completely randomly.
Pair Corralation between MITH and EigenLayer
Assuming the 90 days trading horizon MITH is expected to generate 31.22 times more return on investment than EigenLayer. However, MITH is 31.22 times more volatile than EigenLayer. It trades about 0.28 of its potential returns per unit of risk. EigenLayer is currently generating about 0.25 per unit of risk. If you would invest 0.02 in MITH on September 2, 2024 and sell it today you would earn a total of 0.01 from holding MITH or generate 29.5% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
MITH vs. EigenLayer
Performance |
| Timeline |
| MITH |
| EigenLayer |
MITH and EigenLayer Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with MITH and EigenLayer
The main advantage of trading using opposite MITH and EigenLayer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MITH 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 MITH 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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