Correlation Between GraniteShares Bloomberg and Barclays Capital
Can any of the company-specific risk be diversified away by investing in both GraniteShares 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 GraniteShares 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 GraniteShares Bloomberg Commodity and Barclays Capital, you can compare the effects of market volatilities on GraniteShares 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 GraniteShares Bloomberg with a short position of Barclays Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of GraniteShares Bloomberg and Barclays Capital.
Diversification Opportunities for GraniteShares Bloomberg and Barclays Capital
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GraniteShares and Barclays is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding GraniteShares Bloomberg Commod and Barclays Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Barclays Capital and GraniteShares 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 GraniteShares 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 GraniteShares Bloomberg i.e., GraniteShares Bloomberg and Barclays Capital go up and down completely randomly.
Pair Corralation between GraniteShares Bloomberg and Barclays Capital
If you would invest 1,974 in GraniteShares Bloomberg Commodity on September 15, 2024 and sell it today you would earn a total of 61.00 from holding GraniteShares Bloomberg Commodity or generate 3.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 4.76% |
Values | Daily Returns |
GraniteShares Bloomberg Commod vs. Barclays Capital
Performance |
Timeline |
GraniteShares Bloomberg |
Barclays Capital |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
GraniteShares Bloomberg and Barclays Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GraniteShares Bloomberg and Barclays Capital
The main advantage of trading using opposite GraniteShares Bloomberg and Barclays Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GraniteShares 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.GraniteShares Bloomberg vs. abrdn Bloomberg All | GraniteShares Bloomberg vs. iShares GSCI Commodity | GraniteShares Bloomberg vs. abrdn Bloomberg All | GraniteShares Bloomberg vs. iShares Commodity Curve |
Barclays Capital vs. abrdn Bloomberg All | Barclays Capital vs. iShares GSCI Commodity | Barclays Capital vs. abrdn Bloomberg All | Barclays Capital vs. iShares Commodity Curve |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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