Correlation Between IShares Trust and IShares IBonds
Can any of the company-specific risk be diversified away by investing in both IShares Trust and IShares IBonds 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 Trust and IShares IBonds into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares Trust and iShares iBonds Dec, you can compare the effects of market volatilities on IShares Trust and IShares IBonds 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 Trust with a short position of IShares IBonds. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares Trust and IShares IBonds.
Diversification Opportunities for IShares Trust and IShares IBonds
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between IShares and IShares is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding iShares Trust and iShares iBonds Dec in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares iBonds Dec and IShares Trust 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 Trust are associated (or correlated) with IShares IBonds. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares iBonds Dec has no effect on the direction of IShares Trust i.e., IShares Trust and IShares IBonds go up and down completely randomly.
Pair Corralation between IShares Trust and IShares IBonds
Given the investment horizon of 90 days iShares Trust is expected to generate 1.46 times more return on investment than IShares IBonds. However, IShares Trust is 1.46 times more volatile than iShares iBonds Dec. It trades about 0.18 of its potential returns per unit of risk. iShares iBonds Dec is currently generating about 0.19 per unit of risk. If you would invest 2,453 in iShares Trust on August 28, 2024 and sell it today you would earn a total of 83.00 from holding iShares Trust or generate 3.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
iShares Trust vs. iShares iBonds Dec
Performance |
Timeline |
iShares Trust |
iShares iBonds Dec |
IShares Trust and IShares IBonds Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares Trust and IShares IBonds
The main advantage of trading using opposite IShares Trust and IShares IBonds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares Trust position performs unexpectedly, IShares IBonds 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 IBonds will offset losses from the drop in IShares IBonds' long position.IShares Trust vs. iShares iBonds Dec | IShares Trust vs. iShares iBonds Dec | IShares Trust vs. iShares iBonds Dec | IShares Trust vs. iShares iBonds Dec |
IShares IBonds vs. iShares iBonds Dec | IShares IBonds vs. iShares Trust | IShares IBonds vs. iShares iBonds Dec | IShares IBonds vs. iShares iBonds Dec |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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