Correlation Between UBS ETRACS and ProShares UltraPro
Can any of the company-specific risk be diversified away by investing in both UBS ETRACS and ProShares UltraPro 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 UltraPro 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 UltraPro Short, you can compare the effects of market volatilities on UBS ETRACS and ProShares UltraPro 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 UltraPro. Check out your portfolio center. Please also check ongoing floating volatility patterns of UBS ETRACS and ProShares UltraPro.
Diversification Opportunities for UBS ETRACS and ProShares UltraPro
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between UBS and ProShares is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding UBS ETRACS and ProShares UltraPro Short in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares UltraPro Short 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 UltraPro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ProShares UltraPro Short has no effect on the direction of UBS ETRACS i.e., UBS ETRACS and ProShares UltraPro go up and down completely randomly.
Pair Corralation between UBS ETRACS and ProShares UltraPro
Given the investment horizon of 90 days UBS ETRACS is expected to under-perform the ProShares UltraPro. In addition to that, UBS ETRACS is 2.35 times more volatile than ProShares UltraPro Short. It trades about -0.04 of its total potential returns per unit of risk. ProShares UltraPro Short is currently generating about 0.11 per unit of volatility. If you would invest 894.00 in ProShares UltraPro Short on December 28, 2024 and sell it today you would earn a total of 182.00 from holding ProShares UltraPro Short or generate 20.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
UBS ETRACS vs. ProShares UltraPro Short
Performance |
Timeline |
UBS ETRACS |
ProShares UltraPro Short |
UBS ETRACS and ProShares UltraPro Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with UBS ETRACS and ProShares UltraPro
The main advantage of trading using opposite UBS ETRACS and ProShares UltraPro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UBS ETRACS position performs unexpectedly, ProShares UltraPro 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 UltraPro will offset losses from the drop in ProShares UltraPro's long position.UBS ETRACS vs. Ultimus Managers Trust | UBS ETRACS vs. American Beacon Select | UBS ETRACS vs. First Trust Indxx | UBS ETRACS vs. Direxion Daily Regional |
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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