Correlation Between Ethereum Name and Avalanche
Can any of the company-specific risk be diversified away by investing in both Ethereum Name and Avalanche 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 Ethereum Name and Avalanche into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ethereum Name Service and Avalanche, you can compare the effects of market volatilities on Ethereum Name and Avalanche 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 Ethereum Name with a short position of Avalanche. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ethereum Name and Avalanche.
Diversification Opportunities for Ethereum Name and Avalanche
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ethereum and Avalanche is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Ethereum Name Service and Avalanche in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Avalanche and Ethereum Name 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 Ethereum Name Service are associated (or correlated) with Avalanche. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Avalanche has no effect on the direction of Ethereum Name i.e., Ethereum Name and Avalanche go up and down completely randomly.
Pair Corralation between Ethereum Name and Avalanche
Assuming the 90 days trading horizon Ethereum Name Service is expected to generate 1.53 times more return on investment than Avalanche. However, Ethereum Name is 1.53 times more volatile than Avalanche. It trades about 0.16 of its potential returns per unit of risk. Avalanche is currently generating about 0.22 per unit of risk. If you would invest 1,773 in Ethereum Name Service on August 30, 2024 and sell it today you would earn a total of 1,719 from holding Ethereum Name Service or generate 96.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ethereum Name Service vs. Avalanche
Performance |
Timeline |
Ethereum Name Service |
Avalanche |
Ethereum Name and Avalanche Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ethereum Name and Avalanche
The main advantage of trading using opposite Ethereum Name and Avalanche positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ethereum Name position performs unexpectedly, Avalanche 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 Avalanche will offset losses from the drop in Avalanche's long position.The idea behind Ethereum Name Service and Avalanche 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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