Betashares Global Shares Currency Hedged ETF

10-Year Study

HGBL.AU · · AU · ETF

Executive Summary: Betashares Global Shares Currency Hedged ETF has compounded at 18.6% annually over the last 10 years, with a maximum drawdown of 8.3% and an annualized volatility of 32.7%.

1Y CAGR
+22.1%
3Y CAGR
+18.6%
5Y CAGR
+18.6%
10Y CAGR
+18.6%

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

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
8.3%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
1.24
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.92
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
12.0%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · +20.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · 3.0%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
100%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20261.21.0-7.79.1————————3.0%
20253.8-2.7-4.60.06.34.03.31.52.53.3-0.41.519.5%
20242.63.43.6-2.22.23.8-0.22.01.50.63.1-1.220.7%
2023—————3.43.5-1.4-3.9-3.38.44.210.8%

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 32.7%. The dominant macroeconomic risk driver is SHV.US, accounting for 79.5% of variance. Idiosyncratic stock-specific factors contribute 0.6%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2023-05-0110000
2023-06-0110336.017967027543
2023-07-0110699.73921484748
2023-08-0110553.77768271414
2023-09-0110145.426799170753
2023-10-019810.066965020238
2023-11-0110634.645759978941
2023-12-0111084.41788147027
2024-01-0111377.945144624699
2024-02-0111765.256342755603
2024-03-0112190.101681529502
2024-04-0111919.382835894567
2024-05-0112180.209121721677
2024-06-0112644.583566422061
2024-07-0112616.777452367633
2024-08-0112867.670045082103
2024-09-0113062.35397676791
2024-10-0113146.656684984699
2024-11-0113550.092138602782
2024-12-0113381.486722169204
2025-01-0113886.151238935141
2025-02-0113517.020961532133
2025-03-0112893.707427029518
2025-04-0112899.75402283721
2025-05-0113712.671525881076
2025-06-0114259.333146862351
2025-07-0114733.579584718154
2025-08-0114948.521669024976
2025-09-0115321.10714403238
2025-10-0115822.66609628484
2025-11-0115761.254072197176
2025-12-0115990.551679884169
2026-01-0116177.728783441376
2026-02-0116336.09200697621
2026-03-0115085.63954062325
2026-04-0116465.66191714107
Annual Return Matrix
YearAnnual Return
20240.20723405281741747
20250.1949757162178778
20260.029711935320817284
Total Factor Risk
0.327297106690515
VTI.US Exposure
0.20780455901821146
VEA.US Exposure
0.04843297226508122
VWO.US Exposure
-0.010015176247107892
QQQ.US Exposure
-0.01598107643451831
VTV.US Exposure
-0.01253370788926576
IJR.US Exposure
-0.02011489828150909
QUAL.US Exposure
-0.02809574522926044
SHV.US Exposure
0.7946449648739327
TLT.US Exposure
0.0011196986793095126
LQD.US Exposure
0.00635315494126445
HYG.US Exposure
-0.000024530494743781656
GLD.US Exposure
-0.002362640771577856
USO.US Exposure
-0.0006257294010009055
VNQ.US Exposure
0.010145387532722433
BTC-USD.CC Exposure
0.001930790878159207
CPER.US Exposure
0.00568354321462816
VIX.INDX Exposure
-0.0018921174261077125
UUP.US Exposure
-0.00007699790247009766
TIP.US Exposure
0.009627943816271911
Idiosyncratic Exposure
0.005979604857980879
Value Score
50
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
21.1
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
32.7%

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
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →1.76%
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 relative to key technical levels: distance from 50-Day SMA (intermediate trend), 200-Day SMA (long-term trend), 52-Week High (bullish proximity), and Beta (market sensitivity coefficient).

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 →
+3.4%
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 →
+6.2%
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 →
1.00
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Betashares Global Shares Currency Hedged ETF a high-risk investment?

Betashares Global Shares Currency Hedged ETF (HGBL.AU) has an annualized volatility of 32.7% and experienced a maximum drawdown of 8.3% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, HGBL.AU has generated a Compound Annual Growth Rate (CAGR) of 18.6%. It has had a positive return in 100% 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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