Betashares Asia Technology Tigers ETF (ASIA.AU)

10-Year Study

ASIA.AU · AU · ETF

About Betashares Asia Technology Tigers ETF (ASIA.AU)

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

Fundamental Snapshot

Betashares Asia Technology Tigers ETF (ASIA.AU) charges an annual expense ratio of 0.67%, manages approximately $1.3B in net assets, and maintains a portfolio of 10 holdings.

Executive Summary: Betashares Asia Technology Tigers ETF has compounded at 17.6% annually over the last 10 years, with a maximum drawdown of 53.0% and an annualized volatility of 35.7%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+68.1%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+43.1%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+16.8%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+17.6%

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
2018-09-01$10,000
2018-10-01$8,595
2018-11-01$8,807
2018-12-01$8,611
2019-01-01$9,085
2019-02-01$9,657
2019-03-01$9,689
2019-04-01$10,245
2019-05-01$9,069
2019-06-01$9,657
2019-07-01$9,935
2019-08-01$9,935
2019-09-01$10,245
2019-10-01$10,605
2019-11-01$11,193
2019-12-01$11,716
2020-01-01$12,159
2020-02-01$11,929
2020-03-01$11,716
2020-04-01$12,454
2020-05-01$12,552
2020-06-01$14,324
2020-07-01$15,299
2020-08-01$16,197
2020-09-01$16,197
2020-10-01$17,943
2020-11-01$18,259
2020-12-01$19,074
2021-01-01$21,003
2021-02-01$20,570
2021-03-01$19,456
2021-04-01$19,606
2021-05-01$18,974
2021-06-01$20,022
2021-07-01$17,443
2021-08-01$17,598
2021-09-01$16,842
2021-10-01$16,927
2021-11-01$16,824
2021-12-01$16,120
2022-01-01$15,484
2022-02-01$14,195
2022-03-01$13,216
2022-04-01$12,700
2022-05-01$12,889
2022-06-01$12,889
2022-07-01$12,072
2022-08-01$12,454
2022-09-01$10,873
2022-10-01$9,866
2022-11-01$11,707
2022-12-01$11,915
2023-01-01$13,103
2023-02-01$12,475
2023-03-01$13,208
2023-04-01$12,039
2023-05-01$12,440
2023-06-01$12,667
2023-07-01$13,877
2023-08-01$13,371
2023-09-01$12,934
2023-10-01$12,742
2023-11-01$13,266
2023-12-01$13,266
2024-01-01$13,190
2024-02-01$14,156
2024-03-01$14,929
2024-04-01$14,929
2024-05-01$15,210
2024-06-01$16,176
2024-07-01$16,106
2024-08-01$15,542
2024-09-01$16,846
2024-10-01$17,286
2024-11-01$16,775
2024-12-01$17,956
2025-01-01$19,214
2025-02-01$19,710
2025-03-01$18,806
2025-04-01$18,062
2025-05-01$19,338
2025-06-01$21,040
2025-07-01$21,747
2025-08-01$22,173
2025-09-01$24,874
2025-10-01$26,935
2025-11-01$25,282
2025-12-01$25,762
2026-01-01$28,149
2026-02-01$29,791
2026-03-01$25,335
2026-04-01$31,777
2026-05-01$40,373
2026-06-01$41,161
2026-07-01$35,650
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
53.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.66
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.14
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
25.5%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · +62.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -26.1%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
75%

Annual Returns

View full annual returns data
YearReturn
201936.1%
202062.8%
2021-15.5%
2022-26.1%
202311.3%
202435.3%
202543.5%
202638.4%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20269.35.8-15.025.427.12.0-13.438.4%
20257.02.6-4.6-4.07.18.83.42.012.28.3-6.11.943.5%
2024-0.67.35.50.01.96.4-0.4-3.58.42.6-3.07.035.3%
202310.0-4.85.9-8.93.31.89.6-3.6-3.3-1.54.10.011.3%
2022-3.9-8.3-6.9-3.91.50.0-6.33.2-12.7-9.318.71.8-26.1%
202110.1-2.1-5.40.8-3.25.5-12.90.9-4.30.5-0.6-4.2-15.5%
20203.8-1.9-1.86.30.814.16.85.90.010.81.84.562.8%
20195.56.30.35.7-11.56.52.90.03.13.55.54.736.1%
2018-14.12.5-2.2-13.9%

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
35.7%
View full factor risk breakdown
FactorRisk Exposure
VTI.US2.5%
VEA.US9.4%
VWO.US22.6%
QQQ.US2.2%
VTV.US-1.6%
IJR.US0.6%
QUAL.US0.8%
SHV.US36.1%
TLT.US0.7%
LQD.US10.1%
HYG.US4.5%
GLD.US-0.3%
USO.US-0.2%
VNQ.US-0.5%
BTC-USD.CC-0.1%
CPER.US1.0%
VIX.INDX-1.8%
UUP.US2.0%
TIP.US2.8%
Idiosyncratic9.1%

Betashares Asia Technology Tigers ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
0.67%
64th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
58th pct
larger than 58% of 1,446 ETFs we track
Holdings Count10
Distribution Yield
0.4%
26th 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
$569
Avg Yield on Cost
5.69%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$569.25.69%

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 →
-8.2%
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 →
+16.1%
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 →
17.3% 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 →
1.24
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 →
46
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+2.4%
50.0% retracement+10.5%
61.8% retracement+20.1%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

ASIA.AU — 10-Year Return & Risk Profile

Betashares Asia Technology Tigers ETF (ASIA.AU) has delivered strong annualized growth of 17.6% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $50,702, representing a total return of 407%. Over this period, ASIA.AU generated positive annual returns in 8 out of 10 calendar years (75%).

The best single calendar year for ASIA.AU was 2020, with a return of +62.8%. The worst year was 2022, when the asset declined 26.1%. 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 0.66 is considered acceptable 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.

ASIA.AU — Drawdown, Volatility & Downside Risk

ASIA.AU's annualized volatility of 25.5% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in ASIA.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 53.0% — 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 53% drawdown, for example, requires a 113% gain just to break even.

When evaluating ASIA.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.

ASIA.AU — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 36.1% of ASIA.AU's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, ASIA.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 ASIA.AU allocation.

The second-largest macro driver is Emerging Market Equities, contributing 22.6% of variance. 9.1% of ASIA.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 ASIA.AU's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding ASIA.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 Betashares Asia Technology Tigers ETF a high-risk investment?

Betashares Asia Technology Tigers ETF (ASIA.AU) has an annualized volatility of 35.7% and experienced a maximum drawdown of 53.0% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, ASIA.AU has generated a Compound Annual Growth Rate (CAGR) of 17.6%. A $10,000 investment would have grown to approximately $50,702. It has had a positive return in 75% of calendar years.

What is ASIA.AU's Sharpe ratio?

ASIA.AU has a Sharpe ratio of 0.66 and a Sortino ratio of 1.14 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 ASIA.AU's dividend yield?

ASIA.AU has an average trailing dividend yield of 0.41%. On a $10,000 initial investment, it generated approximately $569 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

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

ASIA.AU is currently above its 200-day moving average by 16.1%. 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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