Snapshot*
Top 10 Holdings
What is TAGG?
Under normal conditions, the fund will invest at least 80% of its net assets (including any borrowings for investment purposes) in U.S. bonds. The fund s overall investment strategy is to provide total returns (after all of the fund s expenses have been deducted) that exceed the total returns of its benchmark index, the Bloomberg Barclays U.S. Aggregate Bond Index ( Index ). The Index is a broadly diversified index that typically consists of investment-grade, fixed income instruments with intermediate- to long-term maturities. Consistent with the benchmark index, the fund s holdings will normally include U.S. government and agency obligations, mortgage- and asset-backed securities, corporate bonds, and U.S. dollar-denominated securities of foreign issuers. The adviser generally invests in a wide range of bonds represented in the Index. While the fund s portfolio is structured to have a similar overall risk profile and other characteristics to the Index, the adviser does not attempt to fully replicate the Index. The portfolio manager may adjust certain holdings in relation to their weighting in the Index and rely on quantitative models (as indicated by the QM in the fund s name) and fundamental research in an attempt to exceed the return on the index net of fees. These quantitative models are designed to help replicate the overall risk factors and other characteristics of the Index in a more efficient manner and inform portfolio construction. In conjunction with the quantitative models, the portfolio manager uses fundamental research to evaluate and select specific bonds for the portfolio. This could result in the fund being underweight or overweight in certain sectors versus the Index or having a duration that differs from that of the Index.
TAGGPerformance Measures**
for the time period Sep 29, 2021 to Aug 5, 2026
1M Trailing Return: -0.3%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 0.4%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -18.2%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 6.4%
The typical amount that daily returns vary from the mean of the returns over the time period, standardized to a period of a year.
Sharpe Ratio: 0.04
The annualized arithmetic mean of the daily returns divided by the annualized standard deviation of the daily returns for the selected time period.
Calmar Ratio: 0.00
The annualized return divided by the max drawdown for the selected time period.
ETFs related toTAGG
ETFs correlated to TAGG include BND, FLCB, BKAG
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.
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.