Correlation Between ETRACS Bloomberg and Barclays Capital
Can any of the company-specific risk be diversified away by investing in both ETRACS Bloomberg and Barclays Capital 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 Bloomberg and Barclays Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ETRACS Bloomberg Commodity and Barclays Capital, you can compare the effects of market volatilities on ETRACS Bloomberg and Barclays Capital 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 Bloomberg with a short position of Barclays Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of ETRACS Bloomberg and Barclays Capital.
Diversification Opportunities for ETRACS Bloomberg and Barclays Capital
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between ETRACS and Barclays is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding ETRACS Bloomberg Commodity and Barclays Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Barclays Capital and ETRACS Bloomberg 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 Bloomberg Commodity are associated (or correlated) with Barclays Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Barclays Capital has no effect on the direction of ETRACS Bloomberg i.e., ETRACS Bloomberg and Barclays Capital go up and down completely randomly.
Pair Corralation between ETRACS Bloomberg and Barclays Capital
If you would invest 2,020 in ETRACS Bloomberg Commodity on September 13, 2024 and sell it today you would earn a total of 40.00 from holding ETRACS Bloomberg Commodity or generate 1.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 1.59% |
Values | Daily Returns |
ETRACS Bloomberg Commodity vs. Barclays Capital
Performance |
Timeline |
ETRACS Bloomberg Com |
Barclays Capital |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
ETRACS Bloomberg and Barclays Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ETRACS Bloomberg and Barclays Capital
The main advantage of trading using opposite ETRACS Bloomberg and Barclays Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ETRACS Bloomberg position performs unexpectedly, Barclays Capital 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 Barclays Capital will offset losses from the drop in Barclays Capital's long position.ETRACS Bloomberg vs. abrdn Bloomberg All | ETRACS Bloomberg vs. GraniteShares Bloomberg Commodity | ETRACS Bloomberg vs. iShares GSCI Commodity | ETRACS Bloomberg vs. abrdn Bloomberg All |
Barclays Capital vs. abrdn Bloomberg All | Barclays Capital vs. GraniteShares Bloomberg Commodity | Barclays Capital vs. iShares GSCI Commodity | Barclays Capital vs. abrdn Bloomberg All |
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 Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
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