Anfield U.S. Equity Sector Rotation ETF (AESR.US)

10-Year Study

AESR.US · US · ETF

About Anfield U.S. Equity Sector Rotation ETF (AESR.US)

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For purposes of the fund"s 80% policy, the managers define U.S. equity securities as common stocks and preferred stocks of issuers of any market capitalization, convertible debt securities, American Depositary Receipts, real estate investment trusts, derivative instruments related thereto (which may include futures, options, or other derivative instruments), and shares of other investment companies, such as ETFs and mutual funds, that invest primarily in U.S....

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

Fundamental Snapshot

Anfield U.S. Equity Sector Rotation ETF (AESR.US) charges an annual expense ratio of 1.11%, manages approximately $236.8M in net assets, and maintains a portfolio of 31 holdings. At the portfolio level, its underlying basket trades at 3.41x sales and 3.61x book value.

Executive Summary: Anfield U.S. Equity Sector Rotation ETF has compounded at 15.6% annually over the last 10 years, with a maximum drawdown of 24.5% and an annualized volatility of 13.0%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+23.7%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+26.9%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+14.2%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+15.6%

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
2019-12-01$10,000
2020-01-01$10,022
2020-02-01$9,114
2020-03-01$8,259
2020-04-01$9,213
2020-05-01$9,647
2020-06-01$9,879
2020-07-01$10,433
2020-08-01$11,277
2020-09-01$10,861
2020-10-01$10,454
2020-11-01$11,499
2020-12-01$11,958
2021-01-01$11,796
2021-02-01$12,154
2021-03-01$12,631
2021-04-01$13,274
2021-05-01$13,366
2021-06-01$13,665
2021-07-01$13,928
2021-08-01$14,358
2021-09-01$13,656
2021-10-01$14,619
2021-11-01$14,438
2021-12-01$14,978
2022-01-01$14,021
2022-02-01$13,805
2022-03-01$14,399
2022-04-01$13,039
2022-05-01$13,124
2022-06-01$11,881
2022-07-01$12,835
2022-08-01$12,428
2022-09-01$11,311
2022-10-01$12,361
2022-11-01$12,994
2022-12-01$12,354
2023-01-01$12,775
2023-02-01$12,430
2023-03-01$12,969
2023-04-01$13,153
2023-05-01$13,077
2023-06-01$13,807
2023-07-01$14,186
2023-08-01$14,001
2023-09-01$13,206
2023-10-01$12,729
2023-11-01$14,112
2023-12-01$14,952
2024-01-01$15,352
2024-02-01$16,359
2024-03-01$16,857
2024-04-01$16,047
2024-05-01$17,020
2024-06-01$17,711
2024-07-01$17,628
2024-08-01$18,113
2024-09-01$18,398
2024-10-01$18,330
2024-11-01$19,283
2024-12-01$18,744
2025-01-01$19,401
2025-02-01$19,174
2025-03-01$17,883
2025-04-01$18,122
2025-05-01$19,454
2025-06-01$20,552
2025-07-01$20,975
2025-08-01$21,333
2025-09-01$22,320
2025-10-01$22,819
2025-11-01$22,347
2025-12-01$22,558
2026-01-01$23,365
2026-02-01$23,667
2026-03-01$22,261
2026-04-01$25,319
2026-05-01$26,931
2026-06-01$27,610
2026-07-01$25,920
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
24.5%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.72
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.24
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
17.9%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · +25.4%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -17.5%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
86%

Annual Returns

View full annual returns data
YearReturn
202019.6%
202125.3%
2022-17.5%
202321.0%
202425.4%
202520.3%
202614.9%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20263.61.3-5.913.76.42.5-6.114.9%
20253.5-1.2-6.71.37.45.62.11.74.62.2-2.10.920.3%
20242.76.63.0-4.86.14.1-0.52.81.6-0.45.2-2.825.4%
20233.4-2.74.31.4-0.65.62.7-1.3-5.7-3.610.95.921.0%
2022-6.4-1.54.3-9.40.7-9.58.0-3.2-9.09.35.1-4.9-17.5%
2021-1.43.03.95.10.72.21.93.1-4.97.1-1.23.725.3%
20200.2-9.1-9.411.64.72.45.68.1-3.7-3.710.04.019.6%

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
13.0%
View full factor risk breakdown
FactorRisk Exposure
VTI.US63.6%
VEA.US7.7%
VWO.US-1.1%
QQQ.US17.5%
VTV.US18.0%
IJR.US-3.0%
QUAL.US-4.4%
SHV.US0.4%
TLT.US6.6%
LQD.US-6.7%
HYG.US-2.8%
GLD.US0.1%
USO.US-0.2%
VNQ.US-7.4%
BTC-USD.CC0.5%
CPER.US-0.5%
VIX.INDX3.9%
UUP.US0.5%
TIP.US2.0%
Idiosyncratic5.6%

Anfield U.S. Equity Sector Rotation ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
1.11%
81st pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
26th pct
larger than 26% of 1,446 ETFs we track
Holdings Count31
Distribution Yield
19.1%
99th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E21.86x
Portfolio Price-to-Sales3.41x
Portfolio Price-to-Book3.61x

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 →
-2.8%
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 →
+7.4%
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 →
7.7% 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 →
1.16
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 →
42
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+2.8%
50.0% retracement+6.6%
61.8% retracement+10.6%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

AESR.US — 10-Year Return & Risk Profile

Anfield U.S. Equity Sector Rotation ETF (AESR.US) has delivered strong annualized growth of 15.6% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $42,507, representing a total return of 325%. Over this period, AESR.US generated positive annual returns in 9 out of 10 calendar years (86%).

The best single calendar year for AESR.US was 2024, with a return of +25.4%. The worst year was 2022, when the asset declined 17.5%. 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 0.72 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.

AESR.US — Drawdown, Volatility & Downside Risk

AESR.US's annualized volatility of 17.9% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in AESR.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 24.5% — a significant bear-market drawdown. 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 24% drawdown, for example, requires a 32% gain just to break even.

When evaluating AESR.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.

AESR.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 63.6% of AESR.US's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, AESR.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 AESR.US allocation.

The second-largest macro driver is US Value Equities, contributing 18.0% of variance. 5.6% of AESR.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 AESR.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding AESR.US 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 Anfield U.S. Equity Sector Rotation ETF a high-risk investment?

Anfield U.S. Equity Sector Rotation ETF (AESR.US) has an annualized volatility of 13.0% and experienced a maximum drawdown of 24.5% over the last 10 years. Its primary macro risk driver is VTI.US.

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

Over the past 10 years, AESR.US has generated a Compound Annual Growth Rate (CAGR) of 15.6%. A $10,000 investment would have grown to approximately $42,507. It has had a positive return in 86% of calendar years.

What is AESR.US's Sharpe ratio?

AESR.US has a Sharpe ratio of 0.72 and a Sortino ratio of 1.24 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 AESR.US's dividend yield?

AESR.US has an average trailing dividend yield of 19.09%. 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 AESR.US above its 200-day moving average?

AESR.US is currently above its 200-day moving average by 7.4%. 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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