Correlation Between IShares IBoxx and IShares 0
Can any of the company-specific risk be diversified away by investing in both IShares IBoxx and IShares 0 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 IShares IBoxx and IShares 0 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares iBoxx High and iShares 0 5 Year, you can compare the effects of market volatilities on IShares IBoxx and IShares 0 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 IShares IBoxx with a short position of IShares 0. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares IBoxx and IShares 0.
Diversification Opportunities for IShares IBoxx and IShares 0
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between IShares and IShares is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding iShares iBoxx High and iShares 0 5 Year in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares 0 5 and IShares IBoxx 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 iShares iBoxx High are associated (or correlated) with IShares 0. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares 0 5 has no effect on the direction of IShares IBoxx i.e., IShares IBoxx and IShares 0 go up and down completely randomly.
Pair Corralation between IShares IBoxx and IShares 0
Considering the 90-day investment horizon IShares IBoxx is expected to generate 1.13 times less return on investment than IShares 0. In addition to that, IShares IBoxx is 1.15 times more volatile than iShares 0 5 Year. It trades about 0.13 of its total potential returns per unit of risk. iShares 0 5 Year is currently generating about 0.16 per unit of volatility. If you would invest 4,282 in iShares 0 5 Year on August 27, 2024 and sell it today you would earn a total of 25.00 from holding iShares 0 5 Year or generate 0.58% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
iShares iBoxx High vs. iShares 0 5 Year
Performance |
| Timeline |
| iShares iBoxx High |
| iShares 0 5 |
IShares IBoxx and IShares 0 Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with IShares IBoxx and IShares 0
The main advantage of trading using opposite IShares IBoxx and IShares 0 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares IBoxx position performs unexpectedly, IShares 0 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 0 will offset losses from the drop in IShares 0's long position.| IShares IBoxx vs. First Trust Senior | IShares IBoxx vs. First Trust Low | IShares IBoxx vs. First Trust Enhanced | IShares IBoxx vs. First Trust TCW |
| IShares 0 vs. SPDR Bloomberg Short | IShares 0 vs. VanEck JP Morgan | IShares 0 vs. iShares Broad USD | IShares 0 vs. iShares 0 5 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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