Correlation Between Grayscale Bitcoin and ProShares High
Can any of the company-specific risk be diversified away by investing in both Grayscale Bitcoin and ProShares High 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 Bitcoin and ProShares High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Grayscale Bitcoin Trust and ProShares High YieldInterest, you can compare the effects of market volatilities on Grayscale Bitcoin and ProShares High 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 Bitcoin with a short position of ProShares High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Grayscale Bitcoin and ProShares High.
Diversification Opportunities for Grayscale Bitcoin and ProShares High
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Grayscale and ProShares is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Grayscale Bitcoin Trust and ProShares High YieldInterest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares High Yield and Grayscale Bitcoin 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 Bitcoin Trust are associated (or correlated) with ProShares High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ProShares High Yield has no effect on the direction of Grayscale Bitcoin i.e., Grayscale Bitcoin and ProShares High go up and down completely randomly.
Pair Corralation between Grayscale Bitcoin and ProShares High
Given the investment horizon of 90 days Grayscale Bitcoin Trust is expected to generate 19.7 times more return on investment than ProShares High. However, Grayscale Bitcoin is 19.7 times more volatile than ProShares High YieldInterest. It trades about 0.25 of its potential returns per unit of risk. ProShares High YieldInterest is currently generating about 0.24 per unit of risk. If you would invest 7,277 in Grayscale Bitcoin Trust on September 19, 2024 and sell it today you would earn a total of 1,194 from holding Grayscale Bitcoin Trust or generate 16.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Grayscale Bitcoin Trust vs. ProShares High YieldInterest
Performance |
Timeline |
Grayscale Bitcoin Trust |
ProShares High Yield |
Grayscale Bitcoin and ProShares High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Grayscale Bitcoin and ProShares High
The main advantage of trading using opposite Grayscale Bitcoin and ProShares High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Grayscale Bitcoin position performs unexpectedly, ProShares High 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 ProShares High will offset losses from the drop in ProShares High's long position.Grayscale Bitcoin vs. Grayscale Ethereum Trust | Grayscale Bitcoin vs. Riot Blockchain | Grayscale Bitcoin vs. Marathon Digital Holdings | Grayscale Bitcoin vs. Coinbase Global |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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