Correlation Between UBS ETRACS and MicroSectors FANG
Can any of the company-specific risk be diversified away by investing in both UBS ETRACS and MicroSectors FANG 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 MicroSectors FANG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between UBS ETRACS and MicroSectors FANG Index, you can compare the effects of market volatilities on UBS ETRACS and MicroSectors FANG 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 MicroSectors FANG. Check out your portfolio center. Please also check ongoing floating volatility patterns of UBS ETRACS and MicroSectors FANG.
Diversification Opportunities for UBS ETRACS and MicroSectors FANG
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between UBS and MicroSectors is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding UBS ETRACS and MicroSectors FANG Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MicroSectors FANG Index 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 MicroSectors FANG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MicroSectors FANG Index has no effect on the direction of UBS ETRACS i.e., UBS ETRACS and MicroSectors FANG go up and down completely randomly.
Pair Corralation between UBS ETRACS and MicroSectors FANG
Given the investment horizon of 90 days UBS ETRACS is expected to under-perform the MicroSectors FANG. In addition to that, UBS ETRACS is 1.6 times more volatile than MicroSectors FANG Index. It trades about -0.03 of its total potential returns per unit of risk. MicroSectors FANG Index is currently generating about 0.2 per unit of volatility. If you would invest 6,930 in MicroSectors FANG Index on September 13, 2024 and sell it today you would earn a total of 2,226 from holding MicroSectors FANG Index or generate 32.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
UBS ETRACS vs. MicroSectors FANG Index
Performance |
Timeline |
UBS ETRACS |
MicroSectors FANG Index |
UBS ETRACS and MicroSectors FANG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with UBS ETRACS and MicroSectors FANG
The main advantage of trading using opposite UBS ETRACS and MicroSectors FANG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UBS ETRACS position performs unexpectedly, MicroSectors FANG 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 MicroSectors FANG will offset losses from the drop in MicroSectors FANG'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 |
MicroSectors FANG vs. MicroSectors FANG ETN | MicroSectors FANG vs. Direxion Daily Dow | MicroSectors FANG vs. MicroSectors FANG Index | MicroSectors FANG vs. Direxion Daily Cnsmr |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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