BMO S&P 500 Index ETF (ZSP.TO)

10-Year Study

ZSP.TO · CA · ETF

About BMO S&P 500 Index ETF (ZSP.TO)

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BMO S&P 500 Index ETF (ZSP.TO) is listed on global equity exchanges in the Unknown sector.

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

Fundamental Snapshot

BMO S&P 500 Index ETF (ZSP.TO) charges an annual expense ratio of 0.00%, manages approximately $23.5B in net assets, and maintains a portfolio of 10 holdings. At the portfolio level, its underlying basket trades at 3.18x sales and 4.76x book value.

Executive Summary: BMO S&P 500 Index ETF has compounded at 15.7% annually over the last 10 years, with a maximum drawdown of 18.6% and an annualized volatility of 13.2%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+21.0%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+24.3%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+15.7%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+15.7%

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$10,045
2016-09-01$10,051
2016-10-01$10,093
2016-11-01$10,484
2016-12-01$10,678
2017-01-01$10,536
2017-02-01$11,168
2017-03-01$11,225
2017-04-01$11,613
2017-05-01$11,642
2017-06-01$11,244
2017-07-01$11,030
2017-08-01$11,065
2017-09-01$11,282
2017-10-01$11,945
2017-11-01$12,298
2017-12-01$12,124
2018-01-01$12,535
2018-02-01$12,594
2018-03-01$12,323
2018-04-01$12,316
2018-05-01$12,734
2018-06-01$12,989
2018-07-01$13,329
2018-08-01$13,795
2018-09-01$13,724
2018-10-01$13,024
2018-11-01$13,395
2018-12-01$12,514
2019-01-01$13,031
2019-02-01$13,454
2019-03-01$13,920
2019-04-01$14,509
2019-05-01$13,720
2019-06-01$14,208
2019-07-01$14,547
2019-08-01$14,413
2019-09-01$14,624
2019-10-01$14,846
2019-11-01$15,517
2019-12-01$15,604
2020-01-01$15,891
2020-02-01$14,798
2020-03-01$13,558
2020-04-01$15,170
2020-05-01$15,724
2020-06-01$15,788
2020-07-01$16,430
2020-08-01$17,167
2020-09-01$16,871
2020-10-01$16,429
2020-11-01$17,758
2020-12-01$18,039
2021-01-01$17,932
2021-02-01$18,352
2021-03-01$18,916
2021-04-01$19,461
2021-05-01$19,234
2021-06-01$20,232
2021-07-01$20,844
2021-08-01$21,703
2021-09-01$20,776
2021-10-01$21,714
2021-11-01$22,266
2021-12-01$23,005
2022-01-01$21,918
2022-02-01$21,194
2022-03-01$21,712
2022-04-01$20,317
2022-05-01$20,101
2022-06-01$18,736
2022-07-01$20,335
2022-08-01$20,016
2022-09-01$19,100
2022-10-01$20,353
2022-11-01$21,176
2022-12-01$20,089
2023-01-01$20,980
2023-02-01$21,033
2023-03-01$21,544
2023-04-01$21,930
2023-05-01$22,136
2023-06-01$22,947
2023-07-01$23,566
2023-08-01$23,776
2023-09-01$22,748
2023-10-01$22,733
2023-11-01$24,266
2023-12-01$24,770
2024-01-01$25,530
2024-02-01$27,115
2024-03-01$27,940
2024-04-01$27,253
2024-05-01$28,317
2024-06-01$29,417
2024-07-01$30,034
2024-08-01$30,026
2024-09-01$30,751
2024-10-01$31,369
2024-11-01$33,440
2024-12-01$33,457
2025-01-01$34,790
2025-02-01$34,141
2025-03-01$32,025
2025-04-01$30,449
2025-05-01$32,228
2025-06-01$33,627
2025-07-01$34,992
2025-08-01$35,355
2025-09-01$37,124
2025-10-01$38,313
2025-11-01$38,247
2025-12-01$37,478
2026-01-01$37,725
2026-02-01$37,467
2026-03-01$36,289
2026-04-01$39,196
2026-05-01$41,851
2026-06-01$42,581
2026-07-01$42,072
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
18.6%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.93
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.47
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
12.8%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · +35.1%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -12.7%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
90%

Annual Returns

View full annual returns data
YearReturn
201713.5%
20183.2%
201924.7%
202015.6%
202127.5%
2022-12.7%
202323.3%
202435.1%
202512.0%
202612.3%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20260.7-0.7-3.18.06.81.7-1.212.3%
20254.0-1.9-6.2-4.95.84.34.11.05.03.2-0.2-2.012.0%
20243.16.23.0-2.53.93.92.1-0.02.42.06.60.035.1%
20234.40.32.41.80.93.72.70.9-4.3-0.16.72.123.3%
2022-4.7-3.32.4-6.4-1.1-6.88.5-1.6-4.66.64.0-5.1-12.7%
2021-0.62.33.12.9-1.25.23.04.1-4.34.52.53.327.5%
20201.8-6.9-8.411.93.70.44.14.5-1.7-2.68.11.615.6%
20194.13.23.54.2-5.43.62.4-0.91.51.54.50.624.7%
20183.40.5-2.2-0.13.42.02.63.5-0.5-5.12.9-6.63.2%
2017-1.36.00.53.50.3-3.4-1.90.32.05.93.0-1.413.5%
20160.40.10.43.91.96.8%

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.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
13.2%
View full factor risk breakdown
FactorRisk Exposure
VTI.US76.5%
VEA.US2.6%
VWO.US2.4%
QQQ.US-6.2%
VTV.US-4.8%
IJR.US-6.3%
QUAL.US10.4%
SHV.US17.6%
TLT.US0.5%
LQD.US-1.5%
HYG.US4.0%
GLD.US-0.0%
USO.US2.3%
VNQ.US-3.3%
BTC-USD.CC-0.4%
CPER.US-0.1%
VIX.INDX-3.1%
UUP.US3.7%
TIP.US0.6%
Idiosyncratic5.2%

BMO S&P 500 Index 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
93rd pct
larger than 93% 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/E21.98x
Portfolio Price-to-Sales3.18x
Portfolio Price-to-Book4.76x

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
$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 →
+0.0%
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 →
+8.0%
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 →
2.0% 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 →
0.99
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 →
43
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+6.2%
50.0% retracement+9.0%
61.8% retracement+11.9%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

ZSP.TO — 10-Year Return & Risk Profile

BMO S&P 500 Index ETF (ZSP.TO) has delivered strong annualized growth of 15.7% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $42,915, representing a total return of 329%. Over this period, ZSP.TO generated positive annual returns in 9 out of 10 calendar years (90%).

The best single calendar year for ZSP.TO was 2024, with a return of +35.1%. The worst year was 2022, when the asset declined 12.7%. 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 0.93 is considered strong 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.

ZSP.TO — Drawdown, Volatility & Downside Risk

ZSP.TO's annualized volatility of 12.8% is classified as 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 18.6% — 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 19% drawdown, for example, requires a 23% gain just to break even.

When evaluating ZSP.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.

ZSP.TO — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 76.5% of ZSP.TO's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, ZSP.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 ZSP.TO allocation.

The second-largest macro driver is Short-Term Interest Rates, contributing 17.6% of variance. 5.2% of ZSP.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 ZSP.TO's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding ZSP.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 BMO S&P 500 Index ETF a high-risk investment?

BMO S&P 500 Index ETF (ZSP.TO) has an annualized volatility of 13.2% and experienced a maximum drawdown of 18.6% over the last 10 years. Its primary macro risk driver is VTI.US.

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

Over the past 10 years, ZSP.TO has generated a Compound Annual Growth Rate (CAGR) of 15.7%. A $10,000 investment would have grown to approximately $42,915. It has had a positive return in 90% of calendar years.

What is ZSP.TO's Sharpe ratio?

ZSP.TO has a Sharpe ratio of 0.93 and a Sortino ratio of 1.47 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 ZSP.TO's dividend yield?

ZSP.TO has an average trailing dividend yield of 0.76%. On a $10,000 initial investment, it generated approximately $0 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

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

ZSP.TO is currently above its 200-day moving average by 8.0%. 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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