First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Moderate Buffer ETF - March

10-Year Study

GMAR.US · · US · ETF

Executive Summary: First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Moderate Buffer ETF - March has compounded at 12.0% annually over the last 10 years, with a maximum drawdown of 2.9% and an annualized volatility of 15.9%.

1Y CAGR
+14.3%
3Y CAGR
+12.2%
5Y CAGR
+12.0%
10Y CAGR
+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

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
2.9%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
1.54
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
2.69
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
5.0%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2024 · +12.1%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · 5.3%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
100%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20260.50.50.93.4————————5.3%
20251.40.2-2.3-0.63.22.11.01.01.00.50.60.99.3%
20240.60.81.6-1.93.01.80.91.51.1-0.12.5-0.312.1%
2023———1.00.53.10.90.2-1.4-0.74.71.510.0%

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.

Risk Profile Insight: This asset has an estimated annualized volatility of 15.9%. The dominant macroeconomic risk driver is SHV.US, accounting for 88.5% of variance. Idiosyncratic stock-specific factors contribute 0.7%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2023-03-0110000
2023-04-0110096.45455443263
2023-05-0110149.125983474338
2023-06-0110466.800539882148
2023-07-0110557.329558547586
2023-08-0110577.081344438227
2023-09-0110425.650985943314
2023-10-0110349.606610264345
2023-11-0110836.488132468645
2023-12-0110996.806794614347
2024-01-0111067.584027389143
2024-02-0111156.46706389703
2024-03-0111330.94117259769
2024-04-0111120.255456430852
2024-05-0111459.327780886857
2024-06-0111666.721532738584
2024-07-0111772.064390822003
2024-08-0111953.122428152881
2024-09-0112087.105375777726
2024-10-0112071.633143496725
2024-11-0112371.201896171446
2024-12-0112332.027520821674
2025-01-0112510.451986700464
2025-02-0112535.800111926786
2025-03-0112246.107252197387
2025-04-0112170.39207294993
2025-05-0112558.843862132533
2025-06-0112822.20100734108
2025-07-0112947.29565131514
2025-08-0113075.682259604306
2025-09-0113200.776903578366
2025-10-0113269.90815419561
2025-11-0113352.207262073282
2025-12-0113477.301906047338
2026-01-0113543.141192349474
2026-02-0113605.688514336505
2026-03-0113724.19922968035
2026-04-0114194.950126740627
Annual Return Matrix
YearAnnual Return
20240.12141894925909291
20250.0928699180481034
20260.05324865657059119
Total Factor Risk
0.15885060707406765
VTI.US Exposure
0.015417062506346403
VEA.US Exposure
-0.006411071597497837
VWO.US Exposure
-0.00195928797568335
QQQ.US Exposure
0.06160374996730695
VTV.US Exposure
0.04317453023226189
IJR.US Exposure
-0.02070973825186574
QUAL.US Exposure
-0.02164441994666319
SHV.US Exposure
0.8850463072109928
TLT.US Exposure
-0.005397927430644441
LQD.US Exposure
0.004900171923515374
HYG.US Exposure
0.007170508613474659
GLD.US Exposure
0.0014663238399829069
USO.US Exposure
-0.0000071729606697072845
VNQ.US Exposure
0.01908908496957169
BTC-USD.CC Exposure
0.0010526288480897285
CPER.US Exposure
0.000319892773951836
VIX.INDX Exposure
0.004620273542363036
UUP.US Exposure
-0.00032505402635860667
TIP.US Exposure
0.006038548293113873
Idiosyncratic Exposure
0.00655558946841171
Value Score
41.8
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
0
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
15.9%

FundamentalsiCompany financial health metrics: P/E valuation, dividend yield, Piotroski F-Score (9-point profitability signal), Altman Z-Score (bankruptcy risk proxy), and a radar chart across 6 fundamental dimensions. Note: ETFs may show N/A for some metrics.

Fundamental Dimensions

Core Valuation

P/E Ratio (TTM)P/E RatioPrice-to-Earnings ratio — the market price of a stock divided by its earnings per share, a key valuation measure.Click for full definition →20.6x
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →0.00%
Market Cap$405.7B
Piotroski F-ScorePiotroski F-ScoreA 9-point scoring system evaluating a company's financial strength across profitability, leverage, and operating efficiency.Click for full definition →
9-point profitability signal
0.0/ 9
Weak
Altman Z-ScoreAltman Z-ScoreA bankruptcy prediction model that combines 5 financial ratios into a single score indicating financial distress risk.Click for full definition →
Bankruptcy risk proxy
1.18
Distress Zone
Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

Momentum & MacroiPrice momentum indicators relative to key technical levels: distance from 50-Day SMA (intermediate trend), 200-Day SMA (long-term trend), 52-Week High (bullish proximity), and Beta (market sensitivity coefficient).

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 →
+3.6%
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 →
+6.4%
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 →
0.0% 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 →
1.00
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Moderate Buffer ETF - March a high-risk investment?

First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Moderate Buffer ETF - March (GMAR.US) has an annualized volatility of 15.9% and experienced a maximum drawdown of 2.9% over the last 10 years. Its primary macro risk driver is SHV.US.

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

Over the past 10 years, GMAR.US has generated a Compound Annual Growth Rate (CAGR) of 12.0%. It has had a positive return in 100% of the years measured.

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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