Correlation Between Robo Global and Bitwise Funds
Can any of the company-specific risk be diversified away by investing in both Robo Global 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 Robo Global and Bitwise Funds into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Robo Global Robotics and Bitwise Funds Trust, you can compare the effects of market volatilities on Robo Global 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 Robo Global with a short position of Bitwise Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of Robo Global and Bitwise Funds.
Diversification Opportunities for Robo Global and Bitwise Funds
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Robo and Bitwise is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Robo Global Robotics 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 Robo Global 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 Robo Global Robotics 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 Robo Global i.e., Robo Global and Bitwise Funds go up and down completely randomly.
Pair Corralation between Robo Global and Bitwise Funds
Given the investment horizon of 90 days Robo Global is expected to generate 1.62 times less return on investment than Bitwise Funds. But when comparing it to its historical volatility, Robo Global Robotics is 1.45 times less risky than Bitwise Funds. It trades about 0.19 of its potential returns per unit of risk. Bitwise Funds Trust is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 5,991 in Bitwise Funds Trust on May 17, 2025 and sell it today you would earn a total of 1,312 from holding Bitwise Funds Trust or generate 21.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Robo Global Robotics vs. Bitwise Funds Trust
Performance |
Timeline |
Robo Global Robotics |
Bitwise Funds Trust |
Robo Global and Bitwise Funds Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Robo Global and Bitwise Funds
The main advantage of trading using opposite Robo Global and Bitwise Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Robo Global 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.Robo Global vs. Global X Robotics | Robo Global vs. Amplify Cybersecurity ETF | Robo Global vs. First Trust Nasdaq | Robo Global vs. First Trust Cloud |
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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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