Correlation Between UBS AG and ETRACS 2xMonthly
Can any of the company-specific risk be diversified away by investing in both UBS AG and ETRACS 2xMonthly 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 AG and ETRACS 2xMonthly into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between UBS AG London and ETRACS 2xMonthly Pay, you can compare the effects of market volatilities on UBS AG and ETRACS 2xMonthly 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 AG with a short position of ETRACS 2xMonthly. Check out your portfolio center. Please also check ongoing floating volatility patterns of UBS AG and ETRACS 2xMonthly.
Diversification Opportunities for UBS AG and ETRACS 2xMonthly
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between UBS and ETRACS is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding UBS AG London and ETRACS 2xMonthly Pay in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ETRACS 2xMonthly Pay and UBS AG 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 AG London are associated (or correlated) with ETRACS 2xMonthly. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ETRACS 2xMonthly Pay has no effect on the direction of UBS AG i.e., UBS AG and ETRACS 2xMonthly go up and down completely randomly.
Pair Corralation between UBS AG and ETRACS 2xMonthly
Given the investment horizon of 90 days UBS AG London is expected to generate 0.55 times more return on investment than ETRACS 2xMonthly. However, UBS AG London is 1.82 times less risky than ETRACS 2xMonthly. It trades about 0.13 of its potential returns per unit of risk. ETRACS 2xMonthly Pay is currently generating about 0.04 per unit of risk. If you would invest 1,335 in UBS AG London on August 28, 2024 and sell it today you would earn a total of 600.00 from holding UBS AG London or generate 44.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
UBS AG London vs. ETRACS 2xMonthly Pay
Performance |
Timeline |
UBS AG London |
ETRACS 2xMonthly Pay |
UBS AG and ETRACS 2xMonthly Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with UBS AG and ETRACS 2xMonthly
The main advantage of trading using opposite UBS AG and ETRACS 2xMonthly positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UBS AG position performs unexpectedly, ETRACS 2xMonthly 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 ETRACS 2xMonthly will offset losses from the drop in ETRACS 2xMonthly's long position.The idea behind UBS AG London and ETRACS 2xMonthly Pay pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.ETRACS 2xMonthly vs. ETRACS 2xMonthly Pay | ETRACS 2xMonthly vs. ETRACS Monthly Pay | ETRACS 2xMonthly vs. ETRACS Monthly Pay | ETRACS 2xMonthly vs. ETRACS Monthly Pay |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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