Xtrackers Harvest CSI 500 China-A Shares Small Cap ETF

10-Year Study

ASHS.US · · US · ETF

Executive Summary: Xtrackers Harvest CSI 500 China-A Shares Small Cap ETF has compounded at 3.9% annually over the last 10 years, with a maximum drawdown of 41.7% and an annualized volatility of 37.4%.

1Y CAGR
+67.6%
3Y CAGR
+17.9%
5Y CAGR
+5.4%
10Y CAGR
+3.9%

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

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
41.7%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.10
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.17
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
22.5%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +39.5%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · -35.9%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
70%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
202611.16.4-11.410.66.022.8%
2025-0.84.20.3-4.11.36.04.515.75.5-1.5-2.76.939.5%
2024-13.912.7-1.83.2-2.2-6.91.2-3.224.5-0.0-1.6-4.32.7%
202310.2-2.70.8-1.9-5.2-2.63.6-7.7-0.7-3.72.7-2.2-10.0%
2022-8.63.7-8.7-14.97.38.4-4.1-4.6-9.9-1.812.4-3.5-24.8%
20211.5-0.4-2.54.35.10.20.57.0-2.2-1.03.50.717.7%
2020-6.79.8-9.84.62.69.214.83.1-5.5-0.24.31.728.2%
20193.419.29.5-5.0-9.61.4-2.3-2.31.10.5-0.19.424.5%
20183.1-4.22.5-4.0-2.8-13.2-1.8-8.7-0.7-11.22.6-3.7-35.9%
20173.22.5-1.2-3.6-4.26.13.54.91.6-0.9-4.71.27.9%
2016-0.12.30.42.7-1.4-0.50.5-6.9-3.2%

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.

Risk Profile Insight: This asset has an estimated annualized volatility of 37.4%. The dominant macroeconomic risk driver is SHV.US, accounting for 65.3% of variance. Idiosyncratic stock-specific factors contribute 12.2%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2016-04-0110000
2016-05-019993.98514235688
2016-06-0110227.871779610576
2016-07-0110269.849817507331
2016-08-0110545.71449265778
2016-09-0110403.121427694166
2016-10-0110347.854018460259
2016-11-0110398.775614318512
2016-12-019682.157286952797
2017-01-019992.505046497054
2017-02-0110245.853369737395
2017-03-0110122.910939168061
2017-04-019760.09850510318
2017-05-019346.301492377506
2017-06-019913.0207496843
2017-07-0110257.851593622363
2017-08-0110756.832846791185
2017-09-0110925.02842098965
2017-10-0110823.657600292241
2017-11-0110317.842713047203
2017-12-0110446.768509858384
2018-01-0110773.586272268356
2018-02-0110320.834396168126
2018-03-0110581.709164312684
2018-04-0110157.551480568232
2018-05-019871.042711787546
2018-06-018563.677187943833
2018-07-018413.77811788491
2018-08-017685.161566634231
2018-09-017631.18530485251
2018-10-016776.6031485102985
2018-11-016955.694747549182
2018-12-016695.733230041537
2019-01-016926.533709970493
2019-02-018257.86419018287
2019-03-019040.457003215271
2019-04-018587.705127115041
2019-05-017760.1111016636905
2019-06-017865.071942106209
2019-07-017682.138392112034
2019-08-017508.242874283176
2019-09-017592.19895007668
2019-10-017632.161538291969
2019-11-017621.926832878282
2019-12-018338.293229033812
2020-01-017777.36838956123
2020-02-018543.365234122823
2020-03-017705.851417270514
2020-04-018063.814175539369
2020-05-018273.798839226949
2020-06-019037.465320094348
2020-07-0110371.504060816193
2020-08-0110688.27606622012
2020-09-0110099.32387961467
2020-10-0110079.074908596209
2020-11-0110516.207049665089
2020-12-0110691.771611761409
2021-01-0110855.306458571487
2021-02-0110812.068764623818
2021-03-0110539.542178008296
2021-04-0110997.710575127461
2021-05-0111559.04480281659
2021-06-0111579.230791032509
2021-07-0111632.57722478877
2021-08-0112451.54260629135
2021-09-0112183.20437604512
2021-10-0112066.875139743091
2021-11-0112493.898541003378
2021-12-0112579.77559227453
2022-01-0111502.45475472922
2022-02-0111931.05272605315
2022-03-0110893.69447672313
2022-04-019265.431573908745
2022-05-019942.874598090992
2022-06-0110779.160250293658
2022-07-0110341.335298396772
2022-08-019860.556075163677
2022-09-018887.03089621379
2022-10-018728.314233798461
2022-11-019808.68973726724
2022-12-019463.00862549481
2023-01-0110432.723344890677
2023-02-0110153.331632797664
2023-03-0110235.52419011989
2023-04-0110043.04874554003
2023-05-019521.236226448369
2023-06-019274.375131870243
2023-07-019611.39610829263
2023-08-018870.56089334807
2023-09-018804.806847490292
2023-10-018481.201208010152
2023-11-018706.9000809329
2023-12-018513.668842722494
2024-01-017333.245157409769
2024-02-018261.98956374962
2024-03-018109.476707385048
2024-04-018365.879696548856
2024-05-018180.647274261763
2024-06-017618.966641158632
2024-07-017708.181780964708
2024-08-017459.903573329303
2024-09-019284.92475129666
2024-10-019281.523679959188
2024-11-019135.120155441557
2024-12-018742.012993352166
2025-01-018672.731910551824
2025-02-019041.181305444548
2025-03-019066.374426462855
2025-04-018691.626751315554
2025-05-018804.99579589793
2025-06-019336.003804161273
2025-07-019752.886974211691
2025-08-0111280.21993594649
2025-09-0111897.136486882258
2025-10-0111721.099553766842
2025-11-0111403.03640091073
2025-12-0112193.470572860082
2026-01-0113550.749967721315
2026-02-0114413.614362598293
2026-03-0112763.464935899254
2026-04-0114120.744330760486
2026-05-0114974.098322453054
Annual Return Matrix
YearAnnual Return
20170.07897116316587205
2018-0.3590617784128247
20190.24531443272301434
20200.28224941460835407
20210.17658476528213862
2022-0.24776014038706584
2023-0.10032113679096155
20240.026820887075594824
20250.3948126801152736
20260.22804235537190087
Total Factor Risk
0.37393112725813543
VTI.US Exposure
-0.012384685172712467
VEA.US Exposure
-0.040606508895908965
VWO.US Exposure
0.15655701828975627
QQQ.US Exposure
0.021270944311394934
VTV.US Exposure
0.010894333389812608
IJR.US Exposure
0.036997121180592445
QUAL.US Exposure
-0.013833787953064046
SHV.US Exposure
0.6526467080923931
TLT.US Exposure
-0.0033893408275314963
LQD.US Exposure
0.06873609901460481
HYG.US Exposure
-0.007303208071950656
GLD.US Exposure
0.01820685400344181
USO.US Exposure
-0.0000031627522833915065
VNQ.US Exposure
-0.014787863965608994
BTC-USD.CC Exposure
0.00015718300655212029
CPER.US Exposure
0.0006334696680050341
VIX.INDX Exposure
-0.0023586167253150793
UUP.US Exposure
0.008794681694330024
TIP.US Exposure
-0.001917597110969965
Idiosyncratic Exposure
0.12169035882446196
Value Score
50
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
0
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
37.4%

FundamentalsiCompany financial health metrics: P/E valuation, dividend yield, Piotroski F-Score (9-point profitability signal), Altman Z-Score (bankruptcy risk proxy), and a radar chart across 6 fundamental dimensions. Note: ETFs may show N/A for some metrics.

Fundamental Dimensions

Core Valuation

P/E Ratio (TTM)P/E RatioPrice-to-Earnings ratio — the market price of a stock divided by its earnings per share, a key valuation measure.Click for full definition →N/A
Forward P/EForward P/E RatioA valuation metric that compares the current stock price to estimated future earnings per share.Click for full definition →No estimate availableN/A
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →0.00%
Squeeze RiskShort Squeeze RiskA situation where a sharp rise in the price of a stock forces short sellers to buy shares to cover their positions, further driving up the price.Click for full definition →Low
Market Cap$0
Piotroski F-ScorePiotroski F-ScoreA 9-point scoring system evaluating a company's financial strength across profitability, leverage, and operating efficiency.Click for full definition →
9-point profitability signal
0.0/ 9
Weak
Altman Z-ScoreAltman Z-ScoreA bankruptcy prediction model that combines 5 financial ratios into a single score indicating financial distress risk.Click for full definition →
Bankruptcy risk proxy
1.18
Distress Zone
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 →
+10.7%
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 →
+21.5%
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 →
0.0% 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 →
0.84
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 →
72
OversoldNeutralOverbought
Overbought
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+18.8%
50.0% retracement+26.1%
61.8% retracement+34.3%
% distance of current price from each 52-week Fibonacci support level.

Frequently Asked Questions & Methodology

Is Xtrackers Harvest CSI 500 China-A Shares Small Cap ETF a high-risk investment?

Xtrackers Harvest CSI 500 China-A Shares Small Cap ETF (ASHS.US) has an annualized volatility of 37.4% and experienced a maximum drawdown of 41.7% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, ASHS.US has generated a Compound Annual Growth Rate (CAGR) of 3.9%. It has had a positive return in 70% of the years measured.

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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