Correlation Between SPDR Barclays and IShares 25
Can any of the company-specific risk be diversified away by investing in both SPDR Barclays and IShares 25 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 SPDR Barclays and IShares 25 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPDR Barclays Intermediate and iShares 25 Year, you can compare the effects of market volatilities on SPDR Barclays and IShares 25 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 SPDR Barclays with a short position of IShares 25. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR Barclays and IShares 25.
Diversification Opportunities for SPDR Barclays and IShares 25
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between SPDR and IShares is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding SPDR Barclays Intermediate and iShares 25 Year in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares 25 Year and SPDR Barclays 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 SPDR Barclays Intermediate are associated (or correlated) with IShares 25. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares 25 Year has no effect on the direction of SPDR Barclays i.e., SPDR Barclays and IShares 25 go up and down completely randomly.
Pair Corralation between SPDR Barclays and IShares 25
Given the investment horizon of 90 days SPDR Barclays Intermediate is expected to generate 0.18 times more return on investment than IShares 25. However, SPDR Barclays Intermediate is 5.6 times less risky than IShares 25. It trades about 0.08 of its potential returns per unit of risk. iShares 25 Year is currently generating about -0.01 per unit of risk. If you would invest 2,984 in SPDR Barclays Intermediate on September 3, 2024 and sell it today you would earn a total of 342.00 from holding SPDR Barclays Intermediate or generate 11.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SPDR Barclays Intermediate vs. iShares 25 Year
Performance |
Timeline |
SPDR Barclays Interm |
iShares 25 Year |
SPDR Barclays and IShares 25 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR Barclays and IShares 25
The main advantage of trading using opposite SPDR Barclays and IShares 25 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR Barclays position performs unexpectedly, IShares 25 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 25 will offset losses from the drop in IShares 25's long position.SPDR Barclays vs. SPDR Barclays Short | SPDR Barclays vs. SPDR Bloomberg Emerging | SPDR Barclays vs. SPDR Barclays Long | SPDR Barclays vs. SPDR Barclays Short |
IShares 25 vs. iShares 1 3 Year | IShares 25 vs. iShares 20 Year | IShares 25 vs. iShares iBoxx Investment | IShares 25 vs. iShares 3 7 Year |
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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