Correlation Between IShares JP and Bitwise Funds
Can any of the company-specific risk be diversified away by investing in both IShares JP and Bitwise Funds 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 IShares JP and Bitwise Funds into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares JP Morgan and Bitwise Funds Trust, you can compare the effects of market volatilities on IShares JP and Bitwise Funds 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 IShares JP with a short position of Bitwise Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares JP and Bitwise Funds.
Diversification Opportunities for IShares JP and Bitwise Funds
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between IShares and Bitwise is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding iShares JP Morgan and Bitwise Funds Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitwise Funds Trust and IShares JP 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 iShares JP Morgan are associated (or correlated) with Bitwise Funds. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bitwise Funds Trust has no effect on the direction of IShares JP i.e., IShares JP and Bitwise Funds go up and down completely randomly.
Pair Corralation between IShares JP and Bitwise Funds
Given the investment horizon of 90 days iShares JP Morgan is expected to generate 0.05 times more return on investment than Bitwise Funds. However, iShares JP Morgan is 20.63 times less risky than Bitwise Funds. It trades about 0.17 of its potential returns per unit of risk. Bitwise Funds Trust is currently generating about -0.26 per unit of risk. If you would invest 4,529 in iShares JP Morgan on August 26, 2025 and sell it today you would earn a total of 79.00 from holding iShares JP Morgan or generate 1.74% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
iShares JP Morgan vs. Bitwise Funds Trust
Performance |
| Timeline |
| iShares JP Morgan |
| Bitwise Funds Trust |
IShares JP and Bitwise Funds Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with IShares JP and Bitwise Funds
The main advantage of trading using opposite IShares JP and Bitwise Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares JP position performs unexpectedly, Bitwise Funds 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 Funds will offset losses from the drop in Bitwise Funds' long position.| IShares JP vs. BondBloxx ETF Trust | IShares JP vs. Virtus ETF Trust | IShares JP vs. Vanguard High Yield Active | IShares JP vs. Virtus ETF Trust |
| Bitwise Funds vs. Strategy Shares | Bitwise Funds vs. Freedom Day Dividend | Bitwise Funds vs. Franklin Templeton ETF | Bitwise Funds vs. iShares MSCI China |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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