Correlation Between EigenLayer and KMD
Can any of the company-specific risk be diversified away by investing in both EigenLayer and KMD 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 KMD into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EigenLayer and KMD, you can compare the effects of market volatilities on EigenLayer and KMD 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 KMD. Check out your portfolio center. Please also check ongoing floating volatility patterns of EigenLayer and KMD.
Diversification Opportunities for EigenLayer and KMD
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between EigenLayer and KMD is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and KMD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KMD 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 KMD. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KMD has no effect on the direction of EigenLayer i.e., EigenLayer and KMD go up and down completely randomly.
Pair Corralation between EigenLayer and KMD
Assuming the 90 days trading horizon EigenLayer is expected to generate 27.66 times more return on investment than KMD. However, EigenLayer is 27.66 times more volatile than KMD. It trades about 0.13 of its potential returns per unit of risk. KMD is currently generating about 0.15 per unit of risk. If you would invest 0.00 in EigenLayer on September 1, 2024 and sell it today you would earn a total of 361.00 from holding EigenLayer or generate 9.223372036854776E16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
EigenLayer vs. KMD
Performance |
Timeline |
EigenLayer |
KMD |
EigenLayer and KMD Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with EigenLayer and KMD
The main advantage of trading using opposite EigenLayer and KMD positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EigenLayer position performs unexpectedly, KMD 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 KMD will offset losses from the drop in KMD's long position.The idea behind EigenLayer and KMD 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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
Other Complementary Tools
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |