Correlation Between JNT and EigenLayer
Can any of the company-specific risk be diversified away by investing in both JNT 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 JNT and EigenLayer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JNT and EigenLayer, you can compare the effects of market volatilities on JNT 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 JNT with a short position of EigenLayer. Check out your portfolio center. Please also check ongoing floating volatility patterns of JNT and EigenLayer.
Diversification Opportunities for JNT and EigenLayer
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between JNT and EigenLayer is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding JNT and EigenLayer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EigenLayer and JNT 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 JNT 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 JNT i.e., JNT and EigenLayer go up and down completely randomly.
Pair Corralation between JNT and EigenLayer
If you would invest 9.27 in JNT on August 25, 2024 and sell it today you would earn a total of 0.00 from holding JNT or generate 0.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 4.35% |
| Values | Daily Returns |
JNT vs. EigenLayer
Performance |
| Timeline |
| JNT |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| EigenLayer |
JNT and EigenLayer Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with JNT and EigenLayer
The main advantage of trading using opposite JNT and EigenLayer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JNT 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 JNT 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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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