First Trust Active Factor Mid Cap ETF (AFMC.US)

10-Year Study

AFMC.US · US · ETF

About First Trust Active Factor Mid Cap ETF (AFMC.US)

Unknown

Under normal market conditions, the fund will invest at least 80% of its net assets (including investment borrowings) in U.S.-listed equity securities issued by mid capitalization companies. The manager defines mid capitalization companies as those that, at the time of investment, have a market capitalization between the minimum and maximum market capitalization of a widely recognized index of mid capitalization companies based upon the composition of the index at the time of investment.

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

Fundamental Snapshot

First Trust Active Factor Mid Cap ETF (AFMC.US) charges an annual expense ratio of 0.65%, manages approximately $189.4M in net assets, and maintains a portfolio of 50 holdings. At the portfolio level, its underlying basket trades at 1.21x sales and 2.21x book value.

Executive Summary: First Trust Active Factor Mid Cap ETF has compounded at 12.0% annually over the last 10 years, with a maximum drawdown of 29.5% and an annualized volatility of 18.7%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+24.0%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+21.5%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+11.7%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+12.0%

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$9,748
2020-02-01$8,822
2020-03-01$7,047
2020-04-01$8,065
2020-05-01$8,322
2020-06-01$8,326
2020-07-01$8,768
2020-08-01$9,045
2020-09-01$8,744
2020-10-01$8,832
2020-11-01$9,948
2020-12-01$10,587
2021-01-01$10,859
2021-02-01$11,519
2021-03-01$12,011
2021-04-01$12,505
2021-05-01$12,617
2021-06-01$12,599
2021-07-01$12,655
2021-08-01$12,966
2021-09-01$12,383
2021-10-01$12,897
2021-11-01$12,647
2021-12-01$13,314
2022-01-01$12,301
2022-02-01$12,316
2022-03-01$12,375
2022-04-01$11,609
2022-05-01$11,763
2022-06-01$10,474
2022-07-01$11,553
2022-08-01$11,158
2022-09-01$10,146
2022-10-01$11,237
2022-11-01$11,887
2022-12-01$11,243
2023-01-01$12,208
2023-02-01$12,068
2023-03-01$11,737
2023-04-01$11,664
2023-05-01$11,401
2023-06-01$12,637
2023-07-01$13,094
2023-08-01$12,775
2023-09-01$12,166
2023-10-01$11,467
2023-11-01$12,524
2023-12-01$13,656
2024-01-01$13,678
2024-02-01$14,566
2024-03-01$15,503
2024-04-01$14,534
2024-05-01$15,337
2024-06-01$14,941
2024-07-01$16,124
2024-08-01$16,186
2024-09-01$16,510
2024-10-01$16,389
2024-11-01$17,757
2024-12-01$16,259
2025-01-01$16,977
2025-02-01$16,328
2025-03-01$15,718
2025-04-01$15,462
2025-05-01$16,182
2025-06-01$16,622
2025-07-01$16,613
2025-08-01$17,328
2025-09-01$17,759
2025-10-01$17,337
2025-11-01$17,860
2025-12-01$17,922
2026-01-01$18,711
2026-02-01$19,417
2026-03-01$18,459
2026-04-01$20,099
2026-05-01$20,583
2026-06-01$21,305
2026-07-01$21,098
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
29.5%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.48
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.70
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
20.4%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2021 · +25.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -15.6%
% 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
20205.9%
202125.8%
2022-15.6%
202321.5%
202419.1%
202510.2%
202617.7%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20264.43.8-4.98.92.43.5-1.017.7%
20254.4-3.8-3.7-1.64.72.7-0.14.32.5-2.43.00.310.2%
20240.26.56.4-6.35.5-2.67.90.42.0-0.78.3-8.419.1%
20238.6-1.1-2.7-0.6-2.310.83.6-2.4-4.8-5.79.29.021.5%
2022-7.60.10.5-6.21.3-11.010.3-3.4-9.110.85.8-5.4-15.6%
20212.66.14.34.10.9-0.10.42.5-4.54.1-1.95.325.8%
2020-2.5-9.5-20.114.43.20.15.33.2-3.31.012.66.45.9%

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
18.7%
View full factor risk breakdown
FactorRisk Exposure
VTI.US19.4%
VEA.US8.8%
VWO.US-2.8%
QQQ.US-6.6%
VTV.US6.8%
IJR.US29.6%
QUAL.US-3.0%
SHV.US46.8%
TLT.US2.9%
LQD.US-1.0%
HYG.US-2.2%
GLD.US0.0%
USO.US-0.0%
VNQ.US0.8%
BTC-USD.CC1.0%
CPER.US0.2%
VIX.INDX-1.6%
UUP.US-0.7%
TIP.US-1.0%
Idiosyncratic2.7%

First Trust Active Factor Mid Cap ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
0.65%
63rd pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
23rd pct
larger than 23% of 1,446 ETFs we track
Holdings Count50
Distribution Yield
0.7%
29th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E13.37x
Portfolio Price-to-Sales1.21x
Portfolio Price-to-Book2.21x

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
$57
Avg Yield on Cost
0.57%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$56.670.57%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 →
+0.9%
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 →
+9.8%
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 →
1.0% 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 →
57
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+8.4%
50.0% retracement+11.7%
61.8% retracement+15.1%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

AFMC.US — 10-Year Return & Risk Profile

First Trust Active Factor Mid Cap ETF (AFMC.US) has delivered strong annualized growth of 12.0% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $31,090, representing a total return of 211%. Over this period, AFMC.US generated positive annual returns in 9 out of 10 calendar years (86%).

The best single calendar year for AFMC.US was 2021, with a return of +25.8%. The worst year was 2022, when the asset declined 15.6%. 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 0.48 is considered weak 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.

AFMC.US — Drawdown, Volatility & Downside Risk

AFMC.US's annualized volatility of 20.4% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in AFMC.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 29.5% — 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 30% drawdown, for example, requires a 42% gain just to break even.

When evaluating AFMC.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.

AFMC.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 46.8% of AFMC.US's return variance to Short-Term Interest Rates. This means that when Short-Term Interest Rates rises or falls sharply, AFMC.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 AFMC.US allocation.

The second-largest macro driver is US Small-Cap Equities, contributing 29.6% of variance. 2.7% of AFMC.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 AFMC.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding AFMC.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 First Trust Active Factor Mid Cap ETF a high-risk investment?

First Trust Active Factor Mid Cap ETF (AFMC.US) has an annualized volatility of 18.7% and experienced a maximum drawdown of 29.5% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, AFMC.US has generated a Compound Annual Growth Rate (CAGR) of 12.0%. A $10,000 investment would have grown to approximately $31,090. It has had a positive return in 86% of calendar years.

What is AFMC.US's Sharpe ratio?

AFMC.US has a Sharpe ratio of 0.48 and a Sortino ratio of 0.70 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 AFMC.US's dividend yield?

AFMC.US has an average trailing dividend yield of 0.69%. On a $10,000 initial investment, it generated approximately $57 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

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

AFMC.US is currently above its 200-day moving average by 9.8%. 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.

Run a Full Backtest on First Trust Active Factor Mid Cap ETF

stresstest.pro lets you simulate DCA vs Lump Sum, Monte Carlo projections, portfolio optimisation, and more — all in seconds.

Start a Free Backtest