Correlation Between Bitwise Funds and USCF Sustainable
Can any of the company-specific risk be diversified away by investing in both Bitwise Funds and USCF Sustainable 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 Bitwise Funds and USCF Sustainable into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitwise Funds Trust and USCF Sustainable Battery, you can compare the effects of market volatilities on Bitwise Funds and USCF Sustainable 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 Bitwise Funds with a short position of USCF Sustainable. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitwise Funds and USCF Sustainable.
Diversification Opportunities for Bitwise Funds and USCF Sustainable
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bitwise and USCF is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Bitwise Funds Trust and USCF Sustainable Battery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on USCF Sustainable Battery and Bitwise Funds 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 Bitwise Funds Trust are associated (or correlated) with USCF Sustainable. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of USCF Sustainable Battery has no effect on the direction of Bitwise Funds i.e., Bitwise Funds and USCF Sustainable go up and down completely randomly.
Pair Corralation between Bitwise Funds and USCF Sustainable
Given the investment horizon of 90 days Bitwise Funds is expected to generate 1.05 times less return on investment than USCF Sustainable. In addition to that, Bitwise Funds is 1.22 times more volatile than USCF Sustainable Battery. It trades about 0.09 of its total potential returns per unit of risk. USCF Sustainable Battery is currently generating about 0.11 per unit of volatility. If you would invest 1,378 in USCF Sustainable Battery on May 15, 2025 and sell it today you would earn a total of 119.00 from holding USCF Sustainable Battery or generate 8.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bitwise Funds Trust vs. USCF Sustainable Battery
Performance |
Timeline |
Bitwise Funds Trust |
USCF Sustainable Battery |
Bitwise Funds and USCF Sustainable Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitwise Funds and USCF Sustainable
The main advantage of trading using opposite Bitwise Funds and USCF Sustainable positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitwise Funds position performs unexpectedly, USCF Sustainable 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 USCF Sustainable will offset losses from the drop in USCF Sustainable's long position.Bitwise Funds vs. Bitwise Crypto Industry | Bitwise Funds vs. Tidal Commodities Trust | Bitwise Funds vs. Osprey Bitcoin Trust | Bitwise Funds vs. USCF Sustainable Battery |
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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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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