Correlation Between Ethereum and Yearnfinance
Can any of the company-specific risk be diversified away by investing in both Ethereum and Yearnfinance 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 and Yearnfinance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ethereum and yearnfinance, you can compare the effects of market volatilities on Ethereum and Yearnfinance 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 with a short position of Yearnfinance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ethereum and Yearnfinance.
Diversification Opportunities for Ethereum and Yearnfinance
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Ethereum and Yearnfinance is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Ethereum and yearnfinance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on yearnfinance and Ethereum 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 are associated (or correlated) with Yearnfinance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of yearnfinance has no effect on the direction of Ethereum i.e., Ethereum and Yearnfinance go up and down completely randomly.
Pair Corralation between Ethereum and Yearnfinance
Assuming the 90 days trading horizon Ethereum is expected to generate 1.19 times less return on investment than Yearnfinance. But when comparing it to its historical volatility, Ethereum is 1.09 times less risky than Yearnfinance. It trades about 0.19 of its potential returns per unit of risk. yearnfinance is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 486,585 in yearnfinance on September 2, 2024 and sell it today you would earn a total of 319,603 from holding yearnfinance or generate 65.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Ethereum vs. yearnfinance
Performance |
Timeline |
Ethereum |
yearnfinance |
Ethereum and Yearnfinance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ethereum and Yearnfinance
The main advantage of trading using opposite Ethereum and Yearnfinance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ethereum position performs unexpectedly, Yearnfinance 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 Yearnfinance will offset losses from the drop in Yearnfinance's long position.The idea behind Ethereum and yearnfinance 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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