Correlation Between UBS ETRACS and ProShares Ultra
Can any of the company-specific risk be diversified away by investing in both UBS ETRACS and ProShares Ultra 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 UBS ETRACS and ProShares Ultra into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between UBS ETRACS and ProShares Ultra Bloomberg, you can compare the effects of market volatilities on UBS ETRACS and ProShares Ultra 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 UBS ETRACS with a short position of ProShares Ultra. Check out your portfolio center. Please also check ongoing floating volatility patterns of UBS ETRACS and ProShares Ultra.
Diversification Opportunities for UBS ETRACS and ProShares Ultra
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between UBS and ProShares is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding UBS ETRACS and ProShares Ultra Bloomberg in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares Ultra Bloomberg and UBS ETRACS 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 UBS ETRACS are associated (or correlated) with ProShares Ultra. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ProShares Ultra Bloomberg has no effect on the direction of UBS ETRACS i.e., UBS ETRACS and ProShares Ultra go up and down completely randomly.
Pair Corralation between UBS ETRACS and ProShares Ultra
Given the investment horizon of 90 days UBS ETRACS is expected to under-perform the ProShares Ultra. But the etf apears to be less risky and, when comparing its historical volatility, UBS ETRACS is 1.83 times less risky than ProShares Ultra. The etf trades about -0.32 of its potential returns per unit of risk. The ProShares Ultra Bloomberg is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 4,237 in ProShares Ultra Bloomberg on September 19, 2024 and sell it today you would earn a total of 120.00 from holding ProShares Ultra Bloomberg or generate 2.83% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 95.45% |
| Values | Daily Returns |
UBS ETRACS vs. ProShares Ultra Bloomberg
Performance |
| Timeline |
| UBS ETRACS |
| ProShares Ultra Bloomberg |
UBS ETRACS and ProShares Ultra Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with UBS ETRACS and ProShares Ultra
The main advantage of trading using opposite UBS ETRACS and ProShares Ultra positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UBS ETRACS position performs unexpectedly, ProShares Ultra 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 ProShares Ultra will offset losses from the drop in ProShares Ultra's long position.| UBS ETRACS vs. Ultimus Managers Trust | UBS ETRACS vs. Direxion Daily SP | UBS ETRACS vs. EA Series Trust | UBS ETRACS vs. Global X MLP |
| ProShares Ultra vs. Ultimus Managers Trust | ProShares Ultra vs. Direxion Daily SP | ProShares Ultra vs. EA Series Trust | ProShares Ultra vs. Global X MLP |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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