Purpose Global Bond Fund Series ETF (BND.TO)

10-Year Study

BND.TO · CA · ETF

About Purpose Global Bond Fund Series ETF (BND.TO)

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

Fundamental Snapshot

Purpose Global Bond Fund Series ETF (BND.TO) charges an annual expense ratio of 0.00%, manages approximately $1.0B in net assets, and maintains a portfolio of 4 holdings.

Executive Summary: Purpose Global Bond Fund Series ETF has compounded at 2.7% annually over the last 10 years, with a maximum drawdown of 11.4% and an annualized volatility of 7.1%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+2.3%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+7.9%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+3.1%
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$10,042
2016-09-01$10,059
2016-10-01$10,036
2016-11-01$9,886
2016-12-01$9,913
2017-01-01$9,936
2017-02-01$10,013
2017-03-01$10,035
2017-04-01$10,168
2017-05-01$10,211
2017-06-01$10,062
2017-07-01$9,994
2017-08-01$10,027
2017-09-01$10,020
2017-10-01$10,096
2017-11-01$10,087
2017-12-01$10,084
2018-01-01$10,024
2018-02-01$9,994
2018-03-01$10,022
2018-04-01$9,987
2018-05-01$9,983
2018-06-01$10,032
2018-07-01$10,007
2018-08-01$10,067
2018-09-01$10,032
2018-10-01$9,943
2018-11-01$9,961
2018-12-01$9,992
2019-01-01$10,060
2019-02-01$10,070
2019-03-01$10,150
2019-04-01$10,170
2019-05-01$10,207
2019-06-01$10,271
2019-07-01$10,287
2019-08-01$10,318
2019-09-01$10,312
2019-10-01$10,311
2019-11-01$10,343
2019-12-01$10,407
2020-01-01$10,491
2020-02-01$10,475
2020-03-01$9,343
2020-04-01$9,782
2020-05-01$10,105
2020-06-01$10,249
2020-07-01$10,506
2020-08-01$10,544
2020-09-01$10,538
2020-10-01$10,520
2020-11-01$10,939
2020-12-01$11,047
2021-01-01$11,057
2021-02-01$11,079
2021-03-01$11,113
2021-04-01$11,227
2021-05-01$11,226
2021-06-01$11,336
2021-07-01$11,352
2021-08-01$11,316
2021-09-01$11,321
2021-10-01$11,367
2021-11-01$11,278
2021-12-01$11,362
2022-01-01$11,201
2022-02-01$11,003
2022-03-01$10,913
2022-04-01$10,714
2022-05-01$10,594
2022-06-01$10,122
2022-07-01$10,357
2022-08-01$10,471
2022-09-01$10,074
2022-10-01$10,128
2022-11-01$10,465
2022-12-01$10,476
2023-01-01$10,826
2023-02-01$10,725
2023-03-01$10,704
2023-04-01$10,720
2023-05-01$10,687
2023-06-01$10,710
2023-07-01$10,828
2023-08-01$10,795
2023-09-01$10,575
2023-10-01$10,420
2023-11-01$10,964
2023-12-01$11,362
2024-01-01$11,408
2024-02-01$11,377
2024-03-01$11,509
2024-04-01$11,365
2024-05-01$11,485
2024-06-01$11,578
2024-07-01$11,768
2024-08-01$12,016
2024-09-01$12,163
2024-10-01$12,112
2024-11-01$12,285
2024-12-01$12,213
2025-01-01$12,312
2025-02-01$12,467
2025-03-01$12,407
2025-04-01$12,327
2025-05-01$12,467
2025-06-01$12,657
2025-07-01$12,726
2025-08-01$12,862
2025-09-01$13,042
2025-10-01$13,046
2025-11-01$13,087
2025-12-01$13,096
2026-01-01$13,137
2026-02-01$13,211
2026-03-01$13,151
2026-04-01$13,335
2026-05-01$13,392
2026-06-01$13,380
2026-07-01$13,128
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
11.4%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.27
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.26
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
5.9%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · +8.5%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -7.8%
% 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
20171.7%
2018-0.9%
20194.2%
20206.1%
20212.9%
2022-7.8%
20238.5%
20247.5%
20257.2%
20260.2%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20260.30.6-0.51.40.4-0.1-1.90.2%
20250.81.3-0.5-0.61.11.50.51.11.40.00.30.17.2%
20240.4-0.31.2-1.31.10.81.62.11.2-0.41.4-0.67.5%
20233.3-0.9-0.20.2-0.30.21.1-0.3-2.0-1.55.23.68.5%
2022-1.4-1.8-0.8-1.8-1.1-4.52.31.1-3.80.53.30.1-7.8%
20210.10.20.31.0-0.01.00.1-0.30.00.4-0.80.72.9%
20200.8-0.2-10.84.73.31.42.50.4-0.1-0.24.01.06.1%
20190.70.10.80.20.40.60.10.3-0.1-0.00.30.64.2%
2018-0.6-0.30.3-0.3-0.00.5-0.20.6-0.3-0.90.20.3-0.9%
20170.20.80.21.30.4-1.5-0.70.3-0.10.8-0.1-0.01.7%
20160.40.2-0.2-1.50.3-0.9%

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
7.1%
View full factor risk breakdown
FactorRisk Exposure
VTI.US69.3%
VEA.US13.3%
VWO.US1.1%
QQQ.US-14.9%
VTV.US-10.5%
IJR.US-2.4%
QUAL.US-9.6%
SHV.US19.2%
TLT.US-1.8%
LQD.US22.4%
HYG.US-0.0%
GLD.US-2.0%
USO.US0.9%
VNQ.US5.6%
BTC-USD.CC-1.0%
CPER.US3.5%
VIX.INDX-3.6%
UUP.US-1.8%
TIP.US4.2%
Idiosyncratic8.1%

Purpose Global Bond Fund Series ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
0.00%
2nd pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
54th pct
larger than 54% of 1,446 ETFs we track
Holdings Count4
Distribution Yield
5.8%
92nd 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
$322
Avg Yield on Cost
3.22%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$321.933.22%

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 →
-1.4%
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 →
-0.6%
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 →
3.7% 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 →
0.54
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 →
27
OversoldNeutralOverbought
Oversold
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-1.2%
50.0% retracement-0.4%
61.8% retracement+0.4%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

BND.TO — 10-Year Return & Risk Profile

Purpose Global Bond Fund Series ETF (BND.TO) 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 $13,112, representing a total return of 31%. Over this period, BND.TO generated positive annual returns in 8 out of 10 calendar years (80%).

The best single calendar year for BND.TO was 2023, with a return of +8.5%. The worst year was 2022, when the asset declined 7.8%. 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 -0.27 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.

BND.TO — Drawdown, Volatility & Downside Risk

BND.TO's annualized volatility of 5.9% 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 11.4% — 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 11% drawdown, for example, requires a 13% gain just to break even.

When evaluating BND.TO 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.

BND.TO — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 69.3% of BND.TO's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, BND.TO 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 BND.TO allocation.

The second-largest macro driver is Investment-Grade Corporate Credit, contributing 22.4% of variance. 8.1% of BND.TO'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 BND.TO's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding BND.TO alongside assets with low correlation to US Equity (broad market) — 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 Purpose Global Bond Fund Series ETF a high-risk investment?

Purpose Global Bond Fund Series ETF (BND.TO) has an annualized volatility of 7.1% and experienced a maximum drawdown of 11.4% over the last 10 years. Its primary macro risk driver is VTI.US.

What is the 10-year return of BND.TO?

Over the past 10 years, BND.TO has generated a Compound Annual Growth Rate (CAGR) of 2.7%. A $10,000 investment would have grown to approximately $13,112. It has had a positive return in 80% of calendar years.

What is BND.TO's Sharpe ratio?

BND.TO has a Sharpe ratio of -0.27 and a Sortino ratio of -0.26 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 BND.TO's dividend yield?

BND.TO has an average trailing dividend yield of 5.85%. On a $10,000 initial investment, it generated approximately $322 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is BND.TO above its 200-day moving average?

BND.TO is currently below its 200-day moving average by 0.6%. 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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