Correlation Between MicroSectors Gold and UBS ETRACS
Can any of the company-specific risk be diversified away by investing in both MicroSectors Gold and UBS ETRACS 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 MicroSectors Gold and UBS ETRACS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MicroSectors Gold 3X and UBS ETRACS , you can compare the effects of market volatilities on MicroSectors Gold and UBS ETRACS 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 MicroSectors Gold with a short position of UBS ETRACS. Check out your portfolio center. Please also check ongoing floating volatility patterns of MicroSectors Gold and UBS ETRACS.
Diversification Opportunities for MicroSectors Gold and UBS ETRACS
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between MicroSectors and UBS is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors Gold 3X and UBS ETRACS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UBS ETRACS and MicroSectors Gold 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 MicroSectors Gold 3X are associated (or correlated) with UBS ETRACS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UBS ETRACS has no effect on the direction of MicroSectors Gold i.e., MicroSectors Gold and UBS ETRACS go up and down completely randomly.
Pair Corralation between MicroSectors Gold and UBS ETRACS
Given the investment horizon of 90 days MicroSectors Gold 3X is expected to under-perform the UBS ETRACS. But the etf apears to be less risky and, when comparing its historical volatility, MicroSectors Gold 3X is 1.27 times less risky than UBS ETRACS. The etf trades about -0.07 of its potential returns per unit of risk. The UBS ETRACS is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 2,117 in UBS ETRACS on September 12, 2024 and sell it today you would lose (295.00) from holding UBS ETRACS or give up 13.93% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MicroSectors Gold 3X vs. UBS ETRACS
Performance |
Timeline |
MicroSectors Gold |
UBS ETRACS |
MicroSectors Gold and UBS ETRACS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MicroSectors Gold and UBS ETRACS
The main advantage of trading using opposite MicroSectors Gold and UBS ETRACS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MicroSectors Gold position performs unexpectedly, UBS ETRACS 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 UBS ETRACS will offset losses from the drop in UBS ETRACS's long position.MicroSectors Gold vs. ProShares UltraShort Gold | MicroSectors Gold vs. ProShares Ultra Silver | MicroSectors Gold vs. DB Gold Double | MicroSectors Gold vs. ProShares UltraShort Euro |
UBS ETRACS vs. Ultimus Managers Trust | UBS ETRACS vs. Direxion Daily SP | UBS ETRACS vs. EA Series Trust | UBS ETRACS 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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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