Correlation Between UBS ETRACS and IPath Bloomberg

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Can any of the company-specific risk be diversified away by investing in both UBS ETRACS and IPath Bloomberg 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 IPath Bloomberg into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between UBS ETRACS and iPath Bloomberg Commodity, you can compare the effects of market volatilities on UBS ETRACS and IPath Bloomberg 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 IPath Bloomberg. Check out your portfolio center. Please also check ongoing floating volatility patterns of UBS ETRACS and IPath Bloomberg.

Diversification Opportunities for UBS ETRACS and IPath Bloomberg

-0.45
  Correlation Coefficient

Very good diversification

The 3 months correlation between UBS and IPath is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding UBS ETRACS and iPath Bloomberg Commodity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iPath Bloomberg Commodity 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 IPath Bloomberg. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iPath Bloomberg Commodity has no effect on the direction of UBS ETRACS i.e., UBS ETRACS and IPath Bloomberg go up and down completely randomly.

Pair Corralation between UBS ETRACS and IPath Bloomberg

Given the investment horizon of 90 days UBS ETRACS is expected to generate 4.45 times more return on investment than IPath Bloomberg. However, UBS ETRACS is 4.45 times more volatile than iPath Bloomberg Commodity. It trades about 0.16 of its potential returns per unit of risk. iPath Bloomberg Commodity is currently generating about 0.13 per unit of risk. If you would invest  1,650  in UBS ETRACS on September 12, 2024 and sell it today you would earn a total of  172.00  from holding UBS ETRACS or generate 10.42% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

UBS ETRACS   vs.  iPath Bloomberg Commodity

 Performance 
       Timeline  
UBS ETRACS 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days UBS ETRACS has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest uncertain performance, the Etf's forward indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for the fund shareholders.
iPath Bloomberg Commodity 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in iPath Bloomberg Commodity are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. Even with relatively invariable forward-looking indicators, IPath Bloomberg is not utilizing all of its potentials. The latest stock price agitation, may contribute to short-term losses for the retail investors.

UBS ETRACS and IPath Bloomberg Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with UBS ETRACS and IPath Bloomberg

The main advantage of trading using opposite UBS ETRACS and IPath Bloomberg positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UBS ETRACS position performs unexpectedly, IPath Bloomberg 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 IPath Bloomberg will offset losses from the drop in IPath Bloomberg's long position.
The idea behind UBS ETRACS and iPath Bloomberg Commodity 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.
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

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