Correlation Between ETRACS Quarterly and Bitwise Funds
Can any of the company-specific risk be diversified away by investing in both ETRACS Quarterly 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 ETRACS Quarterly and Bitwise Funds into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ETRACS Quarterly Pay and Bitwise Funds Trust, you can compare the effects of market volatilities on ETRACS Quarterly 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 ETRACS Quarterly with a short position of Bitwise Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of ETRACS Quarterly and Bitwise Funds.
Diversification Opportunities for ETRACS Quarterly and Bitwise Funds
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ETRACS and Bitwise is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding ETRACS Quarterly Pay 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 ETRACS Quarterly 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 ETRACS Quarterly Pay 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 ETRACS Quarterly i.e., ETRACS Quarterly and Bitwise Funds go up and down completely randomly.
Pair Corralation between ETRACS Quarterly and Bitwise Funds
Given the investment horizon of 90 days ETRACS Quarterly is expected to generate 1.06 times less return on investment than Bitwise Funds. But when comparing it to its historical volatility, ETRACS Quarterly Pay is 1.48 times less risky than Bitwise Funds. It trades about 0.38 of its potential returns per unit of risk. Bitwise Funds Trust is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest 5,014 in Bitwise Funds Trust on August 30, 2024 and sell it today you would earn a total of 865.00 from holding Bitwise Funds Trust or generate 17.25% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
ETRACS Quarterly Pay vs. Bitwise Funds Trust
Performance |
| Timeline |
| ETRACS Quarterly Pay |
| Bitwise Funds Trust |
ETRACS Quarterly and Bitwise Funds Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with ETRACS Quarterly and Bitwise Funds
The main advantage of trading using opposite ETRACS Quarterly and Bitwise Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ETRACS Quarterly 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.| ETRACS Quarterly vs. ETRACS Quarterly Pay | ETRACS Quarterly vs. ETRACS Monthly Pay | ETRACS Quarterly vs. ETRACS Monthly Pay | ETRACS Quarterly vs. UBS AG London |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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