Correlation Between Grayscale Ethereum and Bitwise Bitcoin
Can any of the company-specific risk be diversified away by investing in both Grayscale Ethereum and Bitwise Bitcoin 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 Bitwise Bitcoin 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 Bitwise Bitcoin ETF, you can compare the effects of market volatilities on Grayscale Ethereum and Bitwise Bitcoin 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 Bitwise Bitcoin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Grayscale Ethereum and Bitwise Bitcoin.
Diversification Opportunities for Grayscale Ethereum and Bitwise Bitcoin
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Grayscale and Bitwise is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Grayscale Ethereum Trust and Bitwise Bitcoin ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitwise Bitcoin ETF 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 Bitwise Bitcoin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bitwise Bitcoin ETF has no effect on the direction of Grayscale Ethereum i.e., Grayscale Ethereum and Bitwise Bitcoin go up and down completely randomly.
Pair Corralation between Grayscale Ethereum and Bitwise Bitcoin
Given the investment horizon of 90 days Grayscale Ethereum Trust is expected to generate 1.28 times more return on investment than Bitwise Bitcoin. However, Grayscale Ethereum is 1.28 times more volatile than Bitwise Bitcoin ETF. It trades about 0.32 of its potential returns per unit of risk. Bitwise Bitcoin ETF is currently generating about 0.35 per unit of risk. If you would invest 2,109 in Grayscale Ethereum Trust on August 29, 2024 and sell it today you would earn a total of 944.00 from holding Grayscale Ethereum Trust or generate 44.76% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Grayscale Ethereum Trust vs. Bitwise Bitcoin ETF
Performance |
| Timeline |
| Grayscale Ethereum Trust |
| Bitwise Bitcoin ETF |
Grayscale Ethereum and Bitwise Bitcoin Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Grayscale Ethereum and Bitwise Bitcoin
The main advantage of trading using opposite Grayscale Ethereum and Bitwise Bitcoin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Grayscale Ethereum position performs unexpectedly, Bitwise Bitcoin 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 Bitwise Bitcoin will offset losses from the drop in Bitwise Bitcoin'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 |
| Bitwise Bitcoin vs. ProShares Trust | Bitwise Bitcoin vs. iShares Ethereum Trust | Bitwise Bitcoin vs. ProShares Trust | Bitwise Bitcoin vs. Grayscale Ethereum Trust |
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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