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ETFs

T. Rowe Price QM U.S. Bond ETF

TAGG
$--
Today’s Change
-- (--)

Snapshot
*

Inception Date
Sep 28 2021
Expense Ratio
0.08%
Type
US Bonds
Fund Owner
T. Rowe Price
Volume (1m avg. daily)
$148,865
AUM
$109,392,000
Associated Index
None
Inverse/Leveraged
No
Passive/Active
Active
Fractionable on Composer
No
Prospectus
View

Top 10 Holdings

n/a
US TREASURY N/B 06/28 4
7.49%
n/a
US TREASURY N/B 06/25 4.625
5.86%
n/a
US TREASURY N/B 08/26 0.75
3.74%
n/a
US TREASURY N/B 05/43 3.875
2.97%
n/a
US TREASURY N/B 05/53 3.625
2.63%
n/a
US TREASURY N/B 02/28 4
2.08%
n/a
FNMA POOL MA4547 FN 02/52 FIXED 2
1.93%
n/a
TREASURY BILL 01/24 0.00000
1.84%
n/a
US TREASURY N/B 05/33 3.375
1.48%
n/a
US TREASURY N/B 08/41 1.75
1.24%
Invest with TAGG

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.

ETFs related toTAGG

ETFs correlated to TAGG include BND, FLCB, BKAG

TAGG
T. Rowe Price ExchangeTraded Funds Inc - T. Rowe Price QM U.S. Bond ETF
BND
Vanguard Group, Inc. - Vanguard Total Bond Market ETF
FLCB
Franklin Templeton ETF Trust - Franklin U.S. Core Bond ETF
BKAG
BNY Mellon ETF Trust - BNY Mellon Core Bond ETF
SCHZ
Schwab Strategic Trust - Schwab US Aggregate Bond ETF
AGG
BlackRock Institutional Trust Company N.A. - iShares Core U.S. Aggregate Bond ETF
FISR
SSgA Active Trust - SPDR SSGA Fixed Income Sector Rotation ETF
SPAB
SPDR Series Trust - SPDR Portfolio Aggregate Bond ETF
EAGG
iShares Trust - iShares ESG Aware U.S. Aggregate Bond ETF
TYD
Direxion Shares ETF Trust - Direxion Daily 7-10 Year Treasury Bull 3X Shares
GOVT
BlackRock Institutional Trust Company N.A. - iShares U.S. Treasury Bond ETF

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 toTAGG

#PTAC

Pick the Trending Asset Class

Category

Momentum, Tactical Asset Allocation, Be Risk Aware, Ride the Momentum

Risk Rating

Moderate

#DPE

Diversify with Private Equity

Category

Getting Started, Go Global, Diversification

Risk Rating

Moderate

Create your own algorithmic trading strategy with TAGG using Composer

FAQ

TAGG is a US Bonds ETF. 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.

Yes, TAGG is actively managed. In an actively managed fund, the fund manager makes decisions about how funds are invested. A passively managed fund typically tries to track or follow a market index.

No, TAGG is not passively managed. It is actively managed. A passively managed fund typically tries to track or follow a market index. In an actively managed fund, the fund manager makes decisions about how funds are invested.

The 1-month return on TAGG is -0.0172%. This is the percent change in the value of TAGG over the most recent 1-month period. The 3-month return on TAGG is -0.0405%. This is the percent change in the value of TAGG over the most recent 3-month period.

The standard deviation of TAGG for the past year is 0.0858%. Standard deviation is the typical amount that the daily returns vary from the mean of the returns over the time period, standardized to a period of a year.

ETFs similar to TAGG include GSY, GVI, and BLV.

ETFs correlated to TAGG include BND, FLCB, and BKAG.

ETFs that are inversely correlated to TAGG include PST, TBX, and TTT.

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.