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SPDR SSgA Ultra Short Term Bond ETF of SSgA Active Trust

ULST
$
Today’s Change
()

Snapshot
*

Inception Date
Oct 9, 2013
Expense Ratio
0.2%
Type
US Bonds
Fund Owner
State Street (SPDR)
Volume (1m avg. daily)
$5,009,018
AUM
$572,268,163
Associated Index
None
Inverse/Leveraged
No
Passive/Active
Active
Fractionable on Composer
No
Prospectus

Top 10 Holdings

SSI US GOV MONEY MARKET CLASS
13.61%
TREASURY BILL 0 11/02/2023
6.93%
TREASURY NOTE 2.875 11/30/2023
6.61%
PH24B
Parker-Hannifin Corp. - 3.65% NT REDEEM 15/06/2024 USD 2000
1.9%
TDKM5394669
TAKETWO INTERACTIVE SOFTWARE INC. 3.3 03/28/2024
1.74%
BAC5354316
BANK OF AMERICA CORP 1.843 02/04/2025
1.72%
MCCR5199748
MASTER CREDIT 0.53 11/21/2025
1.68%
SYF24A
Synchrony Financial - 4.375% NT REDEEM 19/03/2024 USD 2000
1.52%
F4885089
FORD CREDIT FLOORPLAN MASTER OWNER TRUST 2.44 09/15/2026
1.35%
TREASURY NOTE (OLD) 4.75 07/31/2025
1.31%

What is ULST?

The SPDR SSgA Ultra Short Term Bond ETF (the "Fund") seeks to provide current income consistent with preservation of capital and daily liquidity through short duration high quality investments.

1M
3M
6M
YTD
1Y
3Y
Max

ULST
Performance Measures**

for the time period Oct 10, 2013 to Aug 6, 2026

Returns

1M Trailing Return: 0.3%

The percent change in the value over the most recent 1-month period.

3M Trailing Return: 0.8%

The percent change in the value over the most recent 3-month period.

Measures of Risk or Volatility

Max Drawdown: -8.8%

The greatest percent loss from peak to trough in value over the time period.

Standard Deviation: 6.9%

The typical amount that daily returns vary from the mean of the returns over the time period, standardized to a period of a year.

Measures of Risk-Adjusted Performance

Sharpe Ratio: 0.35

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: 0.25

The annualized return divided by the max drawdown for the selected time period.

ETFs related toULST

ETFs correlated to ULST include AMZY, FTSM, JSCP

ULST
SSgA Active Trust - SPDR SSgA Ultra Short Term Bond ETF
AMZY
Tidal Trust II - YieldMax AMZN Option Income Strategy ETF
FTSM
First Trust Exchange-Traded Fund III - First Trust Enhanced Short Maturity ETF
JSCP
J.P. Morgan Exchange-Traded Fund Trust - JPMorgan Short Duration Core Plus ETF
CGSD
Capital Group Fixed Income ETF Trust - Capital Group Short Duration Income ETF
SPSB
SSgA Active Trust - SPDR Portfolio Short Term Corporate Bond ETF
FSIG
First Trust Exchange-Traded Fund IV - First Trust Limited Duration Investment Grade Corporate ETF
SCHJ
Schwab Strategic Trust - Schwab 1-5 Year Corporate Bond ETF
ICSH
BlackRock Institutional Trust Company N.A. - BlackRock Ultra Short-Term Bond ETF
GSY
Invesco Capital Management LLC - Invesco Ultra Short Duration ETF
RAVI
FlexShares Trust - FlexShares Ultra-Short Income Fund

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.

Trading Strategies
Related toULST

-bk-I 8/13 200d LETF MA Risk On/Off inv

Category

Trend following, Tactical allocation, Leveraged ETFs, Risk-on/risk-off, Volatility hedging, Bonds and rates, Multi-asset

OOS Cumulative Return

179.07%

TQQQ FTLT + -bk-I 8/13 200d LETF MA Risk On/Off

Category

Leveraged ETFs, trend-following, risk on/off, tech-focused, tactical rotation, interest-rate timing, volatility hedging, defensive overlays

OOS Cumulative Return

101.71%

Create your own algorithmic trading strategy with ULST using Composer

FAQ

ULST is a US Bonds ETF. The SPDR SSgA Ultra Short Term Bond ETF (the "Fund") seeks to provide current income consistent with preservation of capital and daily liquidity through short duration high quality investments.

Yes, ULST 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, ULST 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 ULST is 0.0035%. This is the percent change in the value of ULST over the most recent 1-month period. The 3-month return on ULST is 0.0116%. This is the percent change in the value of ULST over the most recent 3-month period.

The standard deviation of ULST for the past year is 0.0131%. 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 ULST include GVI, BLV, and BSV.

ETFs correlated to ULST include AMZY, FTSM, and JSCP.

ETFs that are inversely correlated to ULST include TBX, PST, and DBMF.

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.

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