Correlation Between Grayscale Ethereum and Ishares Trust
Can any of the company-specific risk be diversified away by investing in both Grayscale Ethereum and Ishares Trust 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 Grayscale Ethereum and Ishares Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Grayscale Ethereum Trust and Ishares Trust , you can compare the effects of market volatilities on Grayscale Ethereum and Ishares Trust 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 Grayscale Ethereum with a short position of Ishares Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Grayscale Ethereum and Ishares Trust.
Diversification Opportunities for Grayscale Ethereum and Ishares Trust
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Grayscale and Ishares is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Grayscale Ethereum Trust and Ishares Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ishares Trust and Grayscale 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 Grayscale Ethereum Trust are associated (or correlated) with Ishares Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ishares Trust has no effect on the direction of Grayscale Ethereum i.e., Grayscale Ethereum and Ishares Trust go up and down completely randomly.
Pair Corralation between Grayscale Ethereum and Ishares Trust
Given the investment horizon of 90 days Grayscale Ethereum Trust is expected to generate 3.43 times more return on investment than Ishares Trust. However, Grayscale Ethereum is 3.43 times more volatile than Ishares Trust . It trades about 0.05 of its potential returns per unit of risk. Ishares Trust is currently generating about 0.12 per unit of risk. If you would invest 2,818 in Grayscale Ethereum Trust on September 22, 2024 and sell it today you would earn a total of 68.00 from holding Grayscale Ethereum Trust or generate 2.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Grayscale Ethereum Trust vs. Ishares Trust
Performance |
Timeline |
Grayscale Ethereum Trust |
Ishares Trust |
Grayscale Ethereum and Ishares Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Grayscale Ethereum and Ishares Trust
The main advantage of trading using opposite Grayscale Ethereum and Ishares Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Grayscale Ethereum position performs unexpectedly, Ishares Trust 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 Ishares Trust will offset losses from the drop in Ishares Trust's long position.Grayscale Ethereum vs. Grayscale Bitcoin Trust | Grayscale Ethereum vs. Grayscale Litecoin Trust | Grayscale Ethereum vs. Grayscale Digital Large | Grayscale Ethereum vs. Bitwise 10 Crypto |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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