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Vanguard Short-Term Treasury ETF

VGSH
$
Today’s Change
()

Snapshot
*

Inception Date
Nov 19, 2009
Expense Ratio
0.04%
Type
US Bonds
Fund Owner
Vanguard
Volume (1m avg. daily)
$111,252,581
AUM
$22,414,024,750
Associated Index
Bloomberg U.S. 1 3 Year Government Float Adjusted Index
Inverse/Leveraged
No
Passive/Active
Passive
Fractionable on Composer
Yes
Prospectus

Top 10 Holdings

United States Treasury Note/Bond
1.68%
United States Treasury Note/Bond
1.62%
United States Treasury Note/Bond
1.61%
United States 2.25 % Treasury Notes 2015-15.11.25 Series F-2025
1.59%
United States Treasury Note/Bond
1.58%
United States Treasury Note/Bond
1.56%
United States Treasury Note/Bond
1.56%
United States Treasury Note/Bond
1.53%
United States Treasury Note/Bond
1.53%
United States Treasury Note/Bond
1.51%

What is VGSH?

VGSH seeks to provide current income with modest price fluctuation. Invests primarily in high-quality (investment-grade) U.S. government bonds. Maintains a dollar-weighted average maturity of 1 to 3 years.

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

VGSH
Performance Measures**

for the time period Nov 23, 2009 to Jul 31, 2026

Returns

1M Trailing Return: 0.1%

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

3M Trailing Return: 0.3%

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

Measures of Risk or Volatility

Max Drawdown: -5.7%

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

Standard Deviation: 1.4%

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

Measures of Risk-Adjusted Performance

Sharpe Ratio: 1.02

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 toVGSH

ETFs correlated to VGSH include SCHO, UTWO, SHY

VGSH
Vanguard Group, Inc. - Vanguard Short-Term Treasury ETF
SCHO
Schwab Strategic Trust - Schwab Short-Term U.S. Treasury ETF
UTWO
Rbb Fund Inc - US Treasury 2 Year Note ETF
SHY
BlackRock Institutional Trust Company N.A. - iShares 1-3 Year Treasury Bond ETF
SPTS
SSgA Active Trust - SPDR Portfolio Short Term Treasury ETF
TUA
Simplify Exchange Traded Funds - Simplify Short Term Treasury Futures Strategy ETF
IBTF
iShares Trust - iShares iBonds Dec 2025 Term Treasury ETF
IBTG
iShares Trust - iShares iBonds Dec 2026 Term Treasury ETF
BSV
Vanguard Group, Inc. - Vanguard Short-Term Bond ETF
IBTH
iShares Trust - iShares iBonds Dec 2027 Term Treasury ETF
IEI
BlackRock Institutional Trust Company N.A. - iShares 3-7 Year 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.

Trading Strategies
Related toVGSH

FINVIZ Screened ☢️ NASDAQ-X DeETF | Deez | AR: 83% DD: 25.6% - 1JAN2019 | V 1.2

Category

Regime-switching, Momentum, Large-cap tech tilt, Defensive rotation, Tactical 3x ETFs, Daily rebalance, US equities, Treasuries, Dividend growth

OOS Cumulative Return

397.91%

Double Whammy

Category

Tactical asset allocation, trend-following, momentum, risk-on/risk-off, leveraged ETFs, volatility hedging, multi-signal ensemble

OOS Cumulative Return

181.24%

Create your own algorithmic trading strategy with VGSH using Composer

FAQ

VGSH is a US Bonds ETF. VGSH seeks to provide current income with modest price fluctuation. Invests primarily in high-quality (investment-grade) U.S. government bonds. Maintains a dollar-weighted average maturity of 1 to 3 years.

VGSH tracks the Bloomberg U.S. 1 3 Year Government Float Adjusted Index.

No, VGSH 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, VGSH 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 VGSH is 0.0011%. This is the percent change in the value of VGSH over the most recent 1-month period. The 3-month return on VGSH is 0.0027%. This is the percent change in the value of VGSH over the most recent 3-month period.

The standard deviation of VGSH for the past year is 0.0287%. 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 VGSH include BIL, SPTL, and TLT.

ETFs correlated to VGSH include SCHO, UTWO, and SHY.

ETFs that are inversely correlated to VGSH include PST, TBX, 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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