Correlation Between EigenLayer and GRIN
Can any of the company-specific risk be diversified away by investing in both EigenLayer and GRIN 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 GRIN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EigenLayer and GRIN, you can compare the effects of market volatilities on EigenLayer and GRIN 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 GRIN. Check out your portfolio center. Please also check ongoing floating volatility patterns of EigenLayer and GRIN.
Diversification Opportunities for EigenLayer and GRIN
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between EigenLayer and GRIN is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding EigenLayer and GRIN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GRIN 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 GRIN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GRIN has no effect on the direction of EigenLayer i.e., EigenLayer and GRIN go up and down completely randomly.
Pair Corralation between EigenLayer and GRIN
Assuming the 90 days trading horizon EigenLayer is expected to generate 1.05 times less return on investment than GRIN. In addition to that, EigenLayer is 1.53 times more volatile than GRIN. It trades about 0.27 of its total potential returns per unit of risk. GRIN is currently generating about 0.43 per unit of volatility. If you would invest 2.45 in GRIN on September 4, 2024 and sell it today you would earn a total of 1.79 from holding GRIN or generate 73.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
EigenLayer vs. GRIN
Performance |
Timeline |
EigenLayer |
GRIN |
EigenLayer and GRIN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with EigenLayer and GRIN
The main advantage of trading using opposite EigenLayer and GRIN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EigenLayer position performs unexpectedly, GRIN 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 GRIN will offset losses from the drop in GRIN's long position.The idea behind EigenLayer and GRIN 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 Stocks Directory module to find actively traded stocks across global markets.
Other Complementary Tools
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets |