Correlation Between Bitwise Crypto and Bitwise Funds
Can any of the company-specific risk be diversified away by investing in both Bitwise Crypto 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 Bitwise Crypto and Bitwise Funds into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bitwise Crypto Industry and Bitwise Funds Trust, you can compare the effects of market volatilities on Bitwise Crypto 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 Bitwise Crypto with a short position of Bitwise Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bitwise Crypto and Bitwise Funds.
Diversification Opportunities for Bitwise Crypto and Bitwise Funds
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bitwise and Bitwise is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Bitwise Crypto Industry 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 Bitwise Crypto 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 Crypto Industry 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 Bitwise Crypto i.e., Bitwise Crypto and Bitwise Funds go up and down completely randomly.
Pair Corralation between Bitwise Crypto and Bitwise Funds
Given the investment horizon of 90 days Bitwise Crypto Industry is expected to under-perform the Bitwise Funds. In addition to that, Bitwise Crypto is 2.85 times more volatile than Bitwise Funds Trust. It trades about -0.11 of its total potential returns per unit of risk. Bitwise Funds Trust is currently generating about -0.08 per unit of volatility. If you would invest 4,734 in Bitwise Funds Trust on December 29, 2024 and sell it today you would lose (345.00) from holding Bitwise Funds Trust or give up 7.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bitwise Crypto Industry vs. Bitwise Funds Trust
Performance |
Timeline |
Bitwise Crypto Industry |
Bitwise Funds Trust |
Bitwise Crypto and Bitwise Funds Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bitwise Crypto and Bitwise Funds
The main advantage of trading using opposite Bitwise Crypto and Bitwise Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bitwise Crypto 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.Bitwise Crypto vs. Bitwise 10 Crypto | Bitwise Crypto vs. VanEck Digital Transformation | Bitwise Crypto vs. Global X Blockchain | Bitwise Crypto vs. First Trust Indxx |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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