Snapshot*
Top 10 Holdings
What is IBMR?
The iShares iBonds Dec 2029 Term Muni Bond ETF seeks to track the investment results of an index composed of investment-grade U.S. municipal bonds expected to mature or be redeemed before December 2, 2029. Exposure to investment grade municipal bonds that will mature, be called or be redeemed before December 2, 2029. Combine the defined maturity and regular income distribution characteristics of a bond with the transparency and tradability of a stock.
ETFs related toIBMR
ETFs correlated to IBMR include JMUB, SCMB, VTES
What is ETF correlation?
Correlation is a measure of the strength of the relationship between two ETFs. It quantifies the degree to which prices of the two ETFs typically move together.
Here, correlation is measured over the past year with the Pearson correlation coefficient (Pearon’s r), which ranges from -1 to 1.
Using ETF correlations in portfolio and strategy construction
ETF correlations can help you create investing strategies and portfolios. Use them to:
- •Build a diversified portfolio from uncorrelated or inversely correlated ETFs with the aim of minimizing portfolio risk.
- •Compare correlated or related ETFs to find one with a lower expense ratio or higher trading volume.
- •Create an investing strategy that hedges an ETF with an uncorrelated or inversely correlated ETF.
Automated Strategies
Related toIBMR
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FAQ
Disclaimers
We show information directly obtained from our data provider, Xignite. Data shown here is provided by Xignite, an unaffiliated third party. Composer believes the information shown here is reliable, but has not been verified and there is no guarantee that the information is accurate.
We show information based on calculations performed by Composer using data from our provider. Information provided here is based on calculations performed by Composer using data sourced from Xignite, an unaffiliated third party. Composer believes this information is reliable, but has not verified the data and there is no guarantee that the calculations are accurate.