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ETFs

SPDR Portfolio Mortgage Backed Bond ETF

SPMB
$--
Today’s Change
-- (--)

Snapshot
*

Inception Date
Jan 15, 2009
Expense Ratio
0.04%
Type
US Bonds
Fund Owner
State Street (SPDR)
Volume (1m avg. daily)
$15,044,236
AUM
$4,388,320,501
Associated Index
Bloomberg U.S. MBS Index
Inverse/Leveraged
No
Passive/Active
Passive
Fractionable on Composer
Yes
Prospectus
View

Top 10 Holdings

n/a
STATE STREET INSTITUTIONAL LIQ
3.89%
n/a
FNMA POOL MA4701 FN 08/52 FIXED 4.5
0.92%
n/a
FED HM LN PC POOL SD8177 FR 11/51 FIXED 2
0.81%
n/a
FED HM LN PC POOL SD8167 FR 09/51 FIXED 2.5
0.77%
n/a
FED HM LN PC POOL SD8193 FR 02/52 FIXED 2
0.70%
n/a
FNMA POOL MA4515 FN 01/37 FIXED 1.5
0.68%
n/a
FNMA POOL MA4512 FN 01/52 FIXED 2.5
0.68%
n/a
FED HM LN PC POOL SD8178 FR 11/51 FIXED 2.5
0.67%
n/a
FNMA POOL MA5165 FN 10/53 FIXED 5.5
0.63%
n/a
FNMA POOL FS2040 FN 02/52 FIXED VAR
0.60%
Invest with SPMB

What is SPMB?

The SPDR Portfolio Mortgage Backed Bond ETF seeks to provide investment results that, before fees and expenses, correspond generally to the price and yield performance of the Bloomberg U.S. MBS Index (the "Index"). The Bloomberg U.S. MBS Index (the "MBS Index") measures the performance of the U.S. agency mortgage pass-through segment of the U.S. investment grade bond market. The term "U.S. agency mortgage pass-through security" refers to a category of pass-through securities backed by pools of mortgages and issued by one of the following U.S. government-sponsored enterprises: Government National Mortgage Association ("GNMA"); Federal National Mortgage Association ("FNMA") and Federal Home Loan Mortgage Corporation ("FHLMC").

ETFs related toSPMB

ETFs correlated to SPMB include MBB, VMBS, JMBS

SPMB
SPDR Series Trust - SPDR Portfolio Mortgage Backed Bond ETF
MBB
BlackRock Institutional Trust Company N.A. - iShares MBS ETF
VMBS
Vanguard Group, Inc. - Vanguard Mortgage-Backed Securities ETF
JMBS
Janus Capital Management LLC - Janus Henderson Mortgage-Backed Securities ETF
AGG
BlackRock Institutional Trust Company N.A. - iShares Core U.S. Aggregate Bond ETF
BND
Vanguard Group, Inc. - Vanguard Total Bond Market ETF
SCHZ
Schwab Strategic Trust - Schwab US Aggregate Bond ETF
BKAG
BNY Mellon ETF Trust - BNY Mellon Core Bond ETF
EAGG
iShares Trust - iShares ESG Aware U.S. Aggregate Bond ETF
FLCB
Franklin Templeton ETF Trust - Franklin U.S. Core Bond ETF
SPAB
SPDR Series Trust - SPDR Portfolio Aggregate 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 toSPMB

#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 SPMB using Composer

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FAQ

SPMB is a US Bonds ETF. The SPDR Portfolio Mortgage Backed Bond ETF seeks to provide investment results that, before fees and expenses, correspond generally to the price and yield performance of the Bloomberg U.S. MBS Index (the "Index"). The Bloomberg U.S. MBS Index (the "MBS Index") measures the performance of the U.S. agency mortgage pass-through segment of the U.S. investment grade bond market. The term "U.S. agency mortgage pass-through security" refers to a category of pass-through securities backed by pools of mortgages and issued by one of the following U.S. government-sponsored enterprises: Government National Mortgage Association ("GNMA"); Federal National Mortgage Association ("FNMA") and Federal Home Loan Mortgage Corporation ("FHLMC").

SPMB tracks the Bloomberg U.S. MBS Index.

No, SPMB is not actively managed. It is passively 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.

Yes, SPMB is passively 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 SPMB is -0.0165%. This is the percent change in the value of SPMB over the most recent 1-month period. The 3-month return on SPMB is -0.0435%. This is the percent change in the value of SPMB over the most recent 3-month period.

The standard deviation of SPMB for the past year is 0.0903%. 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 SPMB include GNMA, DEED, and MBSD.

ETFs correlated to SPMB include MBB, VMBS, and JMBS.

ETFs that are inversely correlated to SPMB 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.