Correlation Between Barclays Capital and IShares SP
Can any of the company-specific risk be diversified away by investing in both Barclays Capital and IShares SP 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 Barclays Capital and IShares SP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Barclays Capital and iShares SP GSCI, you can compare the effects of market volatilities on Barclays Capital and IShares SP 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 Barclays Capital with a short position of IShares SP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Barclays Capital and IShares SP.
Diversification Opportunities for Barclays Capital and IShares SP
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Barclays and IShares is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Barclays Capital and iShares SP GSCI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares SP GSCI and Barclays Capital 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 Barclays Capital are associated (or correlated) with IShares SP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares SP GSCI has no effect on the direction of Barclays Capital i.e., Barclays Capital and IShares SP go up and down completely randomly.
Pair Corralation between Barclays Capital and IShares SP
If you would invest 2,031 in iShares SP GSCI on November 19, 2024 and sell it today you would earn a total of 239.00 from holding iShares SP GSCI or generate 11.77% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 0.0% |
| Values | Daily Returns |
Barclays Capital vs. iShares SP GSCI
Performance |
| Timeline |
| Barclays Capital |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
| iShares SP GSCI |
Barclays Capital and IShares SP Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Barclays Capital and IShares SP
The main advantage of trading using opposite Barclays Capital and IShares SP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Barclays Capital position performs unexpectedly, IShares SP 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 IShares SP will offset losses from the drop in IShares SP's long position.The idea behind Barclays Capital and iShares SP GSCI 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.| IShares SP vs. Invesco DB Commodity | IShares SP vs. iPath Bloomberg Commodity | IShares SP vs. Invesco DB Base | IShares SP vs. Invesco DB Agriculture |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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