Vanguard Short-Term Corporate Bond Index Fund ETF Shares (VCSH.US)

10-Year Study

VCSH.US · US · ETF

About Vanguard Short-Term Corporate Bond Index Fund ETF Shares (VCSH.US)

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The fund manager employs an indexing investment approach designed to track the performance of the Bloomberg U.S. 1-5 Year Corporate Bond Index, which includes U.S....

Source: EODHD Financial Datasets
Fundamentals updated: Jul 31, 2026

Fundamental Snapshot

Vanguard Short-Term Corporate Bond Index Fund ETF Shares (VCSH.US) charges an annual expense ratio of 0.04%, manages approximately $44.5B in net assets, and maintains a portfolio of 466 holdings.

Executive Summary: Vanguard Short-Term Corporate Bond Index Fund ETF Shares has compounded at 2.7% annually over the last 10 years, with a maximum drawdown of 8.6% and an annualized volatility of 5.4%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+2.7%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+5.9%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+2.5%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+2.7%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

View full price history data
DateValue
2016-07-01$10,000
2016-08-01$9,990
2016-09-01$9,988
2016-10-01$9,977
2016-11-01$9,882
2016-12-01$9,913
2017-01-01$9,944
2017-02-01$9,979
2017-03-01$9,992
2017-04-01$10,033
2017-05-01$10,080
2017-06-01$10,085
2017-07-01$10,129
2017-08-01$10,165
2017-09-01$10,154
2017-10-01$10,162
2017-11-01$10,129
2017-12-01$10,128
2018-01-01$10,094
2018-02-01$10,039
2018-03-01$10,054
2018-04-01$10,043
2018-05-01$10,080
2018-06-01$10,078
2018-07-01$10,107
2018-08-01$10,161
2018-09-01$10,153
2018-10-01$10,145
2018-11-01$10,138
2018-12-01$10,222
2019-01-01$10,358
2019-02-01$10,384
2019-03-01$10,506
2019-04-01$10,530
2019-05-01$10,607
2019-06-01$10,709
2019-07-01$10,723
2019-08-01$10,842
2019-09-01$10,838
2019-10-01$10,893
2019-11-01$10,894
2019-12-01$10,939
2020-01-01$11,039
2020-02-01$11,110
2020-03-01$10,724
2020-04-01$11,021
2020-05-01$11,182
2020-06-01$11,283
2020-07-01$11,364
2020-08-01$11,384
2020-09-01$11,371
2020-10-01$11,381
2020-11-01$11,454
2020-12-01$11,501
2021-01-01$11,481
2021-02-01$11,450
2021-03-01$11,429
2021-04-01$11,477
2021-05-01$11,510
2021-06-01$11,505
2021-07-01$11,541
2021-08-01$11,533
2021-09-01$11,507
2021-10-01$11,448
2021-11-01$11,416
2021-12-01$11,428
2022-01-01$11,292
2022-02-01$11,213
2022-03-01$11,009
2022-04-01$10,842
2022-05-01$10,942
2022-06-01$10,797
2022-07-01$10,974
2022-08-01$10,802
2022-09-01$10,569
2022-10-01$10,548
2022-11-01$10,785
2022-12-01$10,786
2023-01-01$10,972
2023-02-01$10,824
2023-03-01$10,984
2023-04-01$11,042
2023-05-01$10,998
2023-06-01$10,984
2023-07-01$11,051
2023-08-01$11,061
2023-09-01$10,997
2023-10-01$10,986
2023-11-01$11,249
2023-12-01$11,455
2024-01-01$11,492
2024-02-01$11,439
2024-03-01$11,515
2024-04-01$11,442
2024-05-01$11,563
2024-06-01$11,624
2024-07-01$11,806
2024-08-01$11,950
2024-09-01$12,067
2024-10-01$11,954
2024-11-01$12,032
2024-12-01$12,018
2025-01-01$12,089
2025-02-01$12,196
2025-03-01$12,246
2025-04-01$12,328
2025-05-01$12,358
2025-06-01$12,469
2025-07-01$12,480
2025-08-01$12,620
2025-09-01$12,676
2025-10-01$12,717
2025-11-01$12,790
2025-12-01$12,832
2026-01-01$12,884
2026-02-01$12,956
2026-03-01$12,849
2026-04-01$12,898
2026-05-01$12,932
2026-06-01$12,954
2026-07-01$12,934
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
8.6%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.62
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.75
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
3.0%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · +7.0%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -5.6%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
80%

Annual Returns

View full annual returns data
YearReturn
20172.2%
20180.9%
20197.0%
20205.1%
2021-0.6%
2022-5.6%
20236.2%
20244.9%
20256.8%
20260.8%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20260.40.6-0.80.40.30.2-0.20.8%
20250.60.90.40.70.20.90.11.10.40.30.60.36.8%
20240.3-0.50.7-0.61.10.51.61.21.0-0.90.6-0.14.9%
20231.7-1.31.50.5-0.4-0.10.60.1-0.6-0.12.41.86.2%
2022-1.2-0.7-1.8-1.50.9-1.31.6-1.6-2.2-0.22.20.0-5.6%
2021-0.2-0.3-0.20.40.3-0.00.3-0.1-0.2-0.5-0.30.1-0.6%
20200.90.6-3.52.81.50.90.70.2-0.10.10.60.45.1%
20191.30.31.20.20.71.00.11.1-0.00.50.00.47.0%
2018-0.3-0.50.1-0.10.4-0.00.30.5-0.1-0.1-0.10.80.9%
20170.30.40.10.40.50.10.40.4-0.10.1-0.3-0.02.2%
2016-0.1-0.0-0.1-1.00.3-0.9%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
5.4%
View full factor risk breakdown
FactorRisk Exposure
VTI.US0.9%
VEA.US2.4%
VWO.US0.1%
QQQ.US-0.8%
VTV.US-0.0%
IJR.US0.4%
QUAL.US-1.5%
SHV.US65.5%
TLT.US-5.5%
LQD.US34.7%
HYG.US-1.4%
GLD.US-0.1%
USO.US0.5%
VNQ.US-0.1%
BTC-USD.CC-0.0%
CPER.US-0.3%
VIX.INDX-0.3%
UUP.US0.1%
TIP.US3.6%
Idiosyncratic1.8%

Vanguard Short-Term Corporate Bond Index Fund ETF Shares ETF Profile & Portfolio Fundamentals

Detailed fund structure, fee metrics, portfolio-level valuation, and asset distribution statistics.

Fund Structure & Fees

Expense Ratio
0.04%
6th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
96th pct
larger than 96% of 1,446 ETFs we track
Holdings Count466
Distribution Yield
4.4%
84th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E
Portfolio Price-to-Sales
Portfolio Price-to-Book

Market Sentiment & Squeeze Risk

Short Squeeze RiskLow

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

Momentum & MacroiPrice momentum indicators: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+0.1%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+0.5%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
2.0% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
0.41
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Golden Cross
Bullish — 50 SMA above 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
59
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+0.1%
50.0% retracement+0.8%
61.8% retracement+1.4%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

VCSH.US — 10-Year Return & Risk Profile

Vanguard Short-Term Corporate Bond Index Fund ETF Shares (VCSH.US) has delivered near-flat annualized growth of 2.7% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $13,008, representing a total return of 30%. Over this period, VCSH.US generated positive annual returns in 8 out of 10 calendar years (80%).

The best single calendar year for VCSH.US was 2019, with a return of +7.0%. The worst year was 2022, when the asset declined 5.6%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of -0.62 is considered poor on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

VCSH.US — Drawdown, Volatility & Downside Risk

VCSH.US's annualized volatility of 3.0% is classified as very low relative to the long-run US equity benchmark of approximately 15%. This below-average volatility profile suggests the asset has historically experienced smaller day-to-day price swings than the broad market, which may appeal to risk-conscious or income-oriented investors.

The asset's maximum peak-to-trough decline over the study period was 8.6% — a notable pullback. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 9% drawdown, for example, requires a 9% gain just to break even.

When evaluating VCSH.US for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

VCSH.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 65.5% of VCSH.US's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, VCSH.US tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their VCSH.US allocation.

The second-largest macro driver is Investment-Grade Corporate Credit, contributing 34.7% of variance. 1.8% of VCSH.US's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding VCSH.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding VCSH.US alongside assets with low correlation to Short-Term Interest Rates — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is Vanguard Short-Term Corporate Bond Index Fund ETF Shares a high-risk investment?

Vanguard Short-Term Corporate Bond Index Fund ETF Shares (VCSH.US) has an annualized volatility of 5.4% and experienced a maximum drawdown of 8.6% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of VCSH.US?

Over the past 10 years, VCSH.US has generated a Compound Annual Growth Rate (CAGR) of 2.7%. A $10,000 investment would have grown to approximately $13,008. It has had a positive return in 80% of calendar years.

What is VCSH.US's Sharpe ratio?

VCSH.US has a Sharpe ratio of -0.62 and a Sortino ratio of -0.75 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is VCSH.US's dividend yield?

VCSH.US has an average trailing dividend yield of 4.44%. On a $10,000 initial investment, it generated approximately $0 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is VCSH.US above its 200-day moving average?

VCSH.US is currently above its 200-day moving average by 0.5%. The current trend signal is: Bullish — 50 SMA above 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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