Correlation Between ETRACS Monthly and UBS ETRACS
Can any of the company-specific risk be diversified away by investing in both ETRACS Monthly 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 ETRACS Monthly and UBS ETRACS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ETRACS Monthly Pay and UBS ETRACS , you can compare the effects of market volatilities on ETRACS Monthly 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 ETRACS Monthly with a short position of UBS ETRACS. Check out your portfolio center. Please also check ongoing floating volatility patterns of ETRACS Monthly and UBS ETRACS.
Diversification Opportunities for ETRACS Monthly and UBS ETRACS
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between ETRACS and UBS is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding ETRACS Monthly Pay and UBS ETRACS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UBS ETRACS and ETRACS Monthly 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 Monthly Pay 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 ETRACS Monthly i.e., ETRACS Monthly and UBS ETRACS go up and down completely randomly.
Pair Corralation between ETRACS Monthly and UBS ETRACS
Given the investment horizon of 90 days ETRACS Monthly Pay is expected to under-perform the UBS ETRACS. But the etf apears to be less risky and, when comparing its historical volatility, ETRACS Monthly Pay is 2.78 times less risky than UBS ETRACS. The etf trades about -0.14 of its potential returns per unit of risk. The UBS ETRACS is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 1,334 in UBS ETRACS on February 2, 2024 and sell it today you would earn a total of 124.00 from holding UBS ETRACS or generate 9.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ETRACS Monthly Pay vs. UBS ETRACS
Performance |
Timeline |
ETRACS Monthly Pay |
UBS ETRACS |
ETRACS Monthly and UBS ETRACS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ETRACS Monthly and UBS ETRACS
The main advantage of trading using opposite ETRACS Monthly and UBS ETRACS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ETRACS Monthly 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.ETRACS Monthly vs. AXS TSLA Bear | ETRACS Monthly vs. Tuttle Capital Short | ETRACS Monthly vs. ProShares Bitcoin Strategy | ETRACS Monthly vs. ProShares UltraShort Bloomberg |
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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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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