Vaneck China New Economy ETF (CNEW.AU)

10-Year Study

CNEW.AU · AU · ETF

About Vaneck China New Economy ETF (CNEW.AU)

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

Fundamental Snapshot

Vaneck China New Economy ETF (CNEW.AU) charges an annual expense ratio of 0.95%, manages approximately $97.2M in net assets, and maintains a portfolio of 10 holdings. At the portfolio level, its underlying basket trades at 2.00x sales and 2.93x book value.

Executive Summary: Vaneck China New Economy ETF has compounded at 7.6% annually over the last 10 years, with a maximum drawdown of 43.0% and an annualized volatility of 28.5%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-6.6%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+6.7%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-0.9%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+7.6%

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
2018-11-01$10,000
2018-12-01$10,061
2019-01-01$10,202
2019-02-01$12,202
2019-03-01$13,596
2019-04-01$13,414
2019-05-01$12,566
2019-06-01$12,788
2019-07-01$13,155
2019-08-01$13,380
2019-09-01$13,278
2019-10-01$13,462
2019-11-01$13,462
2019-12-01$14,095
2020-01-01$14,259
2020-02-01$15,791
2020-03-01$15,995
2020-04-01$15,648
2020-05-01$16,383
2020-06-01$18,038
2020-07-01$19,881
2020-08-01$20,854
2020-09-01$19,094
2020-10-01$20,150
2020-11-01$18,535
2020-12-01$17,810
2021-01-01$18,493
2021-02-01$17,499
2021-03-01$17,561
2021-04-01$18,245
2021-05-01$19,260
2021-06-01$19,757
2021-07-01$18,312
2021-08-01$18,375
2021-09-01$18,396
2021-10-01$17,726
2021-11-01$20,301
2021-12-01$20,343
2022-01-01$18,710
2022-02-01$18,564
2022-03-01$16,722
2022-04-01$14,713
2022-05-01$15,466
2022-06-01$17,622
2022-07-01$16,028
2022-08-01$15,411
2022-09-01$14,731
2022-10-01$14,285
2022-11-01$15,071
2022-12-01$14,880
2023-01-01$15,985
2023-02-01$16,389
2023-03-01$16,857
2023-04-01$16,580
2023-05-01$15,943
2023-06-01$15,305
2023-07-01$15,240
2023-08-01$14,614
2023-09-01$14,614
2023-10-01$14,269
2023-11-01$14,593
2023-12-01$13,815
2024-01-01$12,995
2024-02-01$14,247
2024-03-01$14,333
2024-04-01$14,830
2024-05-01$14,010
2024-06-01$12,822
2024-07-01$12,448
2024-08-01$11,897
2024-09-01$14,695
2024-10-01$14,409
2024-11-01$14,871
2024-12-01$15,422
2025-01-01$15,841
2025-02-01$15,709
2025-03-01$15,488
2025-04-01$14,629
2025-05-01$15,290
2025-06-01$15,532
2025-07-01$16,912
2025-08-01$18,715
2025-09-01$18,091
2025-10-01$17,980
2025-11-01$17,446
2025-12-01$17,758
2026-01-01$17,891
2026-02-01$17,802
2026-03-01$17,439
2026-04-01$18,022
2026-05-01$17,932
2026-06-01$18,425
2026-07-01$17,573
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
43.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.26
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.54
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
21.5%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2019 · +40.1%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -26.9%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
63%

Annual Returns

View full annual returns data
YearReturn
201940.1%
202026.4%
202114.2%
2022-26.9%
2023-7.2%
202411.6%
202515.1%
2026-1.0%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20260.8-0.5-2.03.3-0.52.8-4.6-1.0%
20252.7-0.8-1.4-5.54.51.68.910.7-3.3-0.6-3.01.815.1%
2024-5.99.60.63.5-5.5-8.5-2.9-4.423.5-1.93.23.711.6%
20237.42.52.9-1.6-3.8-4.0-0.4-4.10.0-2.42.3-5.3-7.2%
2022-8.0-0.8-9.9-12.05.113.9-9.0-3.8-4.4-3.05.5-1.3-26.9%
20213.8-5.40.43.95.62.6-7.30.30.1-3.614.50.214.2%
20201.210.71.3-2.24.710.110.24.9-8.45.5-8.0-3.926.4%
20191.419.611.4-1.3-6.31.82.91.7-0.81.40.04.740.1%
20180.60.6%

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
28.5%
View full factor risk breakdown
FactorRisk Exposure
VTI.US3.1%
VEA.US1.3%
VWO.US16.9%
QQQ.US-2.3%
VTV.US-0.4%
IJR.US0.1%
QUAL.US1.0%
SHV.US44.5%
TLT.US0.3%
LQD.US7.1%
HYG.US-0.0%
GLD.US-0.1%
USO.US1.1%
VNQ.US0.5%
BTC-USD.CC0.4%
CPER.US-0.6%
VIX.INDX-0.7%
UUP.US1.9%
TIP.US3.0%
Idiosyncratic22.8%

Vaneck China New Economy ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
0.95%
75th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
14th pct
larger than 14% of 1,446 ETFs we track
Holdings Count10
Distribution Yield
0.8%
30th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E19.23x
Portfolio Price-to-Sales2.00x
Portfolio Price-to-Book2.93x

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
$134
Avg Yield on Cost
1.34%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$134.491.34%Weak

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 →
-1.5%
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 →
-1.5%
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 →
7.4% 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 →
0.85
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 →
✦ Death Cross
Bearish — 50 SMA below 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 →
47
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-2.7%
50.0% retracement-1.2%
61.8% retracement+0.4%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

CNEW.AU — 10-Year Return & Risk Profile

Vaneck China New Economy ETF (CNEW.AU) has delivered solid annualized growth of 7.6% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $20,870, representing a total return of 109%. Over this period, CNEW.AU generated positive annual returns in 6 out of 10 calendar years (63%).

The best single calendar year for CNEW.AU was 2019, with a return of +40.1%. The worst year was 2022, when the asset declined 26.9%. 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 0.26 is considered weak 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.

CNEW.AU — Drawdown, Volatility & Downside Risk

CNEW.AU's annualized volatility of 21.5% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in CNEW.AU have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 43.0% — a severe bear-market collapse. 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 43% drawdown, for example, requires a 75% gain just to break even.

When evaluating CNEW.AU 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.

CNEW.AU — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 44.5% of CNEW.AU's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, CNEW.AU 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 CNEW.AU allocation.

The second-largest macro driver is Emerging Market Equities, contributing 16.9% of variance. 22.8% of CNEW.AU'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 CNEW.AU's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding CNEW.AU 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 Vaneck China New Economy ETF a high-risk investment?

Vaneck China New Economy ETF (CNEW.AU) has an annualized volatility of 28.5% and experienced a maximum drawdown of 43.0% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of CNEW.AU?

Over the past 10 years, CNEW.AU has generated a Compound Annual Growth Rate (CAGR) of 7.6%. A $10,000 investment would have grown to approximately $20,870. It has had a positive return in 63% of calendar years.

What is CNEW.AU's Sharpe ratio?

CNEW.AU has a Sharpe ratio of 0.26 and a Sortino ratio of 0.54 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 CNEW.AU's dividend yield?

CNEW.AU has an average trailing dividend yield of 0.83%. On a $10,000 initial investment, it generated approximately $134 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is CNEW.AU above its 200-day moving average?

CNEW.AU is currently below its 200-day moving average by 1.5%. The current trend signal is: Bearish — 50 SMA below 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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