Brookstone Dividend Stock ETF (BAMD.US)

10-Year Study

BAMD.US · US · ETF

About Brookstone Dividend Stock ETF (BAMD.US)

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The fund is an actively managed exchange traded fund ("ETF") that, under normal circumstances, invests at least 80% of its net assets (plus borrowings for investment purposes) in income-producing, publicly-traded U.S. stocks or unaffiliated ETFs purchased in the secondary market.

Source: EODHD Financial Datasets
Fundamentals updated: Jul 30, 2026

Fundamental Snapshot

Brookstone Dividend Stock ETF (BAMD.US) charges an annual expense ratio of 0.95%, manages approximately $99.1M in net assets, and maintains a portfolio of 49 holdings. At the portfolio level, its underlying basket trades at 2.28x sales and 2.67x book value.

Executive Summary: Brookstone Dividend Stock ETF has compounded at -13.1% annually over the last 10 years, with a maximum drawdown of 87.2% and an annualized volatility of 102.2%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+11.3%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-37.5%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-26.7%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-13.1%

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
2019-05-01$10,000
2019-06-01$10,597
2019-07-01$11,407
2019-08-01$12,136
2019-09-01$12,690
2019-10-01$12,611
2019-11-01$13,343
2019-12-01$12,865
2020-01-01$12,871
2020-02-01$13,461
2020-03-01$9,594
2020-04-01$10,770
2020-05-01$10,164
2020-06-01$10,763
2020-08-01$12,423
2020-09-01$12,060
2020-10-01$12,606
2020-11-01$13,454
2020-12-01$13,281
2021-01-01$13,892
2021-02-01$12,962
2021-03-01$14,569
2021-04-01$15,488
2021-05-01$16,061
2021-06-01$15,253
2021-07-01$16,077
2021-08-01$16,899
2021-09-01$16,139
2021-10-01$16,476
2021-11-01$15,938
2021-12-01$15,455
2022-01-01$14,628
2022-02-01$17,275
2022-03-01$18,732
2022-04-01$18,800
2022-05-01$18,369
2022-06-01$17,341
2022-07-01$17,675
2022-08-01$16,976
2022-09-01$15,164
2022-10-01$13,861
2022-11-01$12,937
2022-12-01$12,927
2023-01-01$13,277
2023-02-01$13,263
2023-03-01$12,362
2023-04-01$12,798
2023-05-01$12,348
2023-06-01$13,076
2023-07-01$14,144
2023-08-01$14,418
2023-09-01$2,460
2023-10-01$2,399
2023-11-01$2,600
2023-12-01$2,716
2024-01-01$2,663
2024-02-01$2,690
2024-03-01$2,861
2024-04-01$2,795
2024-05-01$2,946
2024-06-01$2,904
2024-07-01$3,101
2024-08-01$3,269
2024-09-01$3,332
2024-10-01$3,357
2024-11-01$3,515
2024-12-01$3,252
2025-01-01$3,280
2025-02-01$3,345
2025-03-01$3,344
2025-04-01$3,192
2025-05-01$3,222
2025-06-01$3,234
2025-07-01$3,208
2025-08-01$3,320
2025-09-01$3,312
2025-10-01$3,161
2025-11-01$3,237
2025-12-01$3,209
2026-01-01$3,343
2026-02-01$3,485
2026-03-01$3,329
2026-04-01$3,476
2026-05-01$3,417
2026-06-01$3,483
2026-07-01$3,662
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
87.2%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.08
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.06
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
38.3%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · +19.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · -79.0%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
57%

Annual Returns

View full annual returns data
YearReturn
20203.2%
202116.4%
2022-16.4%
2023-79.0%
202419.8%
2025-1.3%
202614.1%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20264.24.2-4.54.4-1.71.95.114.1%
20250.82.0-0.0-4.50.90.4-0.83.5-0.2-4.52.4-0.9-1.3%
2024-1.91.06.4-2.35.4-1.46.85.41.90.84.7-7.519.8%
20232.7-0.1-6.83.5-3.55.98.21.9-82.9-2.58.44.5-79.0%
2022-5.418.18.40.4-2.3-5.61.9-4.0-10.7-8.6-6.7-0.1-16.4%
20214.6-6.712.46.33.7-5.05.45.1-4.52.1-3.3-3.016.4%
20200.04.6-28.712.3-5.65.915.4-2.94.56.7-1.33.2%
20196.07.66.44.6-0.65.8-3.628.7%

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
102.2%
View full factor risk breakdown
FactorRisk Exposure
VTI.US14.2%
VEA.US-1.4%
VWO.US0.2%
QQQ.US-1.7%
VTV.US-0.4%
IJR.US-1.4%
QUAL.US4.8%
SHV.US26.2%
TLT.US14.7%
LQD.US6.3%
HYG.US-0.1%
GLD.US1.7%
USO.US-0.1%
VNQ.US1.3%
BTC-USD.CC-0.0%
CPER.US-0.2%
VIX.INDX1.8%
UUP.US1.1%
TIP.US-0.0%
Idiosyncratic33.3%

Brookstone Dividend Stock ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
0.95%
72nd pct of 1165 ETFs · median 0.56%
Fund Size vs Peers
16th pct
larger than 16% of 1,443 ETFs we track
Holdings Count49
Distribution Yield
3.5%
72nd pct of 1318 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio15.01x
Portfolio Forward P/E15.01x
Portfolio Price-to-Sales2.28x
Portfolio Price-to-Book2.67x

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
$54
Avg Yield on Cost
0.54%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$53.770.54%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 →
+3.9%
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 →
+8.8%
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 →
0.7% 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 →
0.00
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 →
69
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+5.5%
50.0% retracement+7.6%
61.8% retracement+9.8%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

BAMD.US — 10-Year Return & Risk Profile

Brookstone Dividend Stock ETF (BAMD.US) has delivered negative annualized growth of 13.1% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $2,462, representing a total return of 75%. Over this period, BAMD.US generated positive annual returns in 6 out of 10 calendar years (57%).

The best single calendar year for BAMD.US was 2024, with a return of +19.8%. The worst year was 2023, when the asset declined 79.0%. 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 -0.08 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.

BAMD.US — Drawdown, Volatility & Downside Risk

BAMD.US's annualized volatility of 38.3% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in BAMD.US 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 87.2% — a catastrophic peak-to-trough decline. 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 87% drawdown, for example, requires a 684% gain just to break even.

When evaluating BAMD.US 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.

BAMD.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 26.2% of BAMD.US's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, BAMD.US 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 BAMD.US allocation.

The second-largest macro driver is Long-Term US Treasury Bonds, contributing 14.7% of variance. 33.3% of BAMD.US'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 BAMD.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding BAMD.US 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 Brookstone Dividend Stock ETF a high-risk investment?

Brookstone Dividend Stock ETF (BAMD.US) has an annualized volatility of 102.2% and experienced a maximum drawdown of 87.2% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of BAMD.US?

Over the past 10 years, BAMD.US has generated a Compound Annual Growth Rate (CAGR) of -13.1%. A $10,000 investment would have grown to approximately $2,462. It has had a positive return in 57% of calendar years.

What is BAMD.US's Sharpe ratio?

BAMD.US has a Sharpe ratio of -0.08 and a Sortino ratio of -0.06 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 BAMD.US's dividend yield?

BAMD.US has an average trailing dividend yield of 3.50%. On a $10,000 initial investment, it generated approximately $54 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is BAMD.US above its 200-day moving average?

BAMD.US is currently above its 200-day moving average by 8.8%. 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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