Correlation Between IShares 10 and IShares Trust
Can any of the company-specific risk be diversified away by investing in both IShares 10 and IShares Trust 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 10 and IShares Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares 10 20 Year and iShares Trust , you can compare the effects of market volatilities on IShares 10 and IShares Trust 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 10 with a short position of IShares Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares 10 and IShares Trust.
Diversification Opportunities for IShares 10 and IShares Trust
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between IShares and IShares is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding iShares 10 20 Year and iShares Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares Trust and IShares 10 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 10 20 Year are associated (or correlated) with IShares Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares Trust has no effect on the direction of IShares 10 i.e., IShares 10 and IShares Trust go up and down completely randomly.
Pair Corralation between IShares 10 and IShares Trust
Considering the 90-day investment horizon iShares 10 20 Year is expected to under-perform the IShares Trust. In addition to that, IShares 10 is 1.18 times more volatile than iShares Trust . It trades about -0.05 of its total potential returns per unit of risk. iShares Trust is currently generating about 0.01 per unit of volatility. If you would invest 2,406 in iShares Trust on November 28, 2024 and sell it today you would earn a total of 3.00 from holding iShares Trust or generate 0.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
iShares 10 20 Year vs. iShares Trust
Performance |
Timeline |
iShares 10 20 |
iShares Trust |
IShares 10 and IShares Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares 10 and IShares Trust
The main advantage of trading using opposite IShares 10 and IShares Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares 10 position performs unexpectedly, IShares Trust 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 Trust will offset losses from the drop in IShares Trust's long position.IShares 10 vs. iShares 3 7 Year | IShares 10 vs. iShares Short Treasury | IShares 10 vs. iShares Intermediate GovernmentCredit | IShares 10 vs. iShares GovernmentCredit Bond |
IShares Trust vs. iShares Trust | IShares Trust vs. iShares Trust | IShares Trust vs. Simplify Volatility Premium | IShares Trust vs. Tidal Trust II |
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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