VictoryShares US 500 Enhanced Volatility Wtd ETF (CFO.US)

10-Year Study

CFO.US · US · ETF

Fundamental Snapshot

VictoryShares US 500 Enhanced Volatility Wtd ETF (CFO.US) charges an annual expense ratio of low annual fee, manages approximately institutional assets in net assets, and maintains a portfolio of diversified basket of holdings.

Executive Summary: VictoryShares US 500 Enhanced Volatility Wtd ETF has compounded at 9.3% annually over the last 10 years, with a maximum drawdown of 23.0% and an annualized volatility of 10.8%.

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 →
+10.8%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+3.4%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+9.3%

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
2016-06-01$10,000
2016-07-01$10,409
2016-08-01$10,468
2016-09-01$10,414
2016-10-01$10,219
2016-11-01$10,777
2016-12-01$10,916
2017-01-01$11,152
2017-02-01$11,571
2017-03-01$11,576
2017-04-01$11,721
2017-05-01$11,867
2017-06-01$12,011
2017-07-01$12,160
2017-08-01$12,138
2017-09-01$12,459
2017-10-01$12,752
2017-11-01$13,285
2017-12-01$13,388
2018-01-01$14,013
2018-02-01$13,508
2018-03-01$13,430
2018-04-01$13,389
2018-05-01$13,589
2018-06-01$13,628
2018-07-01$14,045
2018-08-01$14,420
2018-09-01$14,311
2018-10-01$13,185
2018-11-01$13,556
2018-12-01$12,209
2019-01-01$12,482
2019-02-01$12,994
2019-03-01$13,041
2019-04-01$13,580
2019-05-01$12,779
2019-06-01$13,689
2019-07-01$13,870
2019-08-01$13,594
2019-09-01$13,864
2019-10-01$13,999
2019-11-01$14,531
2019-12-01$14,851
2020-01-01$14,710
2020-02-01$13,334
2020-03-01$13,213
2020-04-01$14,222
2020-05-01$14,667
2020-06-01$14,710
2020-07-01$15,137
2020-08-01$15,727
2020-09-01$15,468
2020-10-01$15,377
2020-11-01$17,077
2020-12-01$17,798
2021-01-01$17,545
2021-02-01$18,169
2021-03-01$19,197
2021-04-01$20,156
2021-05-01$20,374
2021-06-01$20,439
2021-07-01$20,942
2021-08-01$21,441
2021-09-01$20,442
2021-10-01$21,583
2021-11-01$21,093
2021-12-01$22,429
2022-01-01$21,183
2022-02-01$20,836
2022-03-01$21,421
2022-04-01$20,051
2022-05-01$20,139
2022-06-01$18,621
2022-07-01$19,197
2022-08-01$19,067
2022-09-01$18,667
2022-10-01$19,461
2022-11-01$20,147
2022-12-01$19,185
2023-01-01$19,473
2023-02-01$18,731
2023-03-01$18,733
2023-04-01$18,819
2023-05-01$18,115
2023-06-01$18,596
2023-07-01$19,122
2023-08-01$18,706
2023-09-01$17,880
2023-10-01$17,270
2023-11-01$17,731
2023-12-01$18,501
2024-01-01$18,576
2024-02-01$19,435
2024-03-01$20,227
2024-04-01$19,310
2024-05-01$19,863
2024-06-01$19,769
2024-07-01$20,583
2024-08-01$21,136
2024-09-01$21,544
2024-10-01$21,336
2024-11-01$22,853
2024-12-01$21,344
2025-01-01$22,182
2025-02-01$22,010
2025-03-01$21,289
2025-04-01$20,761
2025-05-01$21,636
2025-06-01$22,232
2025-07-01$22,371
2025-08-01$22,892
2025-09-01$23,090
2025-10-01$22,825
2025-11-01$23,215
2025-12-01$23,179
2026-01-01$23,874
2026-02-01$24,662
2026-03-01$23,323
2026-04-01$24,433
2026-05-01$24,604
2026-06-01$25,187
2026-07-01$25,245
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
23.0%
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 →
0.65
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
12.5%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2021 · +26.0%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -14.5%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
70%

Annual Returns

View full annual returns data
YearReturn
201722.7%
2018-8.8%
201921.6%
202019.8%
202126.0%
2022-14.5%
2023-3.6%
202415.4%
20258.6%
20268.9%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20263.03.3-5.44.80.72.40.28.9%
20253.9-0.8-3.3-2.54.22.80.62.30.9-1.11.7-0.28.6%
20240.44.64.1-4.52.9-0.54.12.71.9-1.07.1-6.615.4%
20231.5-3.80.00.5-3.72.72.8-2.2-4.4-3.42.74.3-3.6%
2022-5.6-1.62.8-6.40.4-7.53.1-0.7-2.14.33.5-4.8-14.5%
2021-1.43.65.75.01.10.32.52.4-4.75.6-2.36.326.0%
2020-1.0-9.4-0.97.63.10.32.93.9-1.6-0.611.14.219.8%
20192.24.10.44.1-5.97.11.3-2.02.01.03.82.221.6%
20184.7-3.6-0.6-0.31.50.33.12.7-0.8-7.92.8-9.9-8.8%
20172.23.80.01.31.21.21.2-0.22.62.44.20.822.7%
20164.10.6-0.5-1.95.51.39.2%

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
10.8%
View full factor risk breakdown
FactorRisk Exposure
VTI.US50.7%
VEA.US11.7%
VWO.US0.2%
QQQ.US-22.3%
VTV.US30.5%
IJR.US5.8%
QUAL.US12.1%
SHV.US8.4%
TLT.US4.8%
LQD.US-1.6%
HYG.US-4.1%
GLD.US1.1%
USO.US-0.1%
VNQ.US-3.8%
BTC-USD.CC2.5%
CPER.US-1.9%
VIX.INDX0.8%
UUP.US-1.5%
TIP.US-0.0%
Idiosyncratic6.8%

VictoryShares US 500 Enhanced Volatility Wtd ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Distribution Yield
0.0%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E
Portfolio Price-to-Sales
Portfolio Price-to-Book

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
$151
Avg Yield on Cost
1.51%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$151.111.51%

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 →
+2.4%
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 →
+6.2%
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 →
0.6% 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 →
0.76
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 →
72
OversoldNeutralOverbought
Overbought
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+4.5%
50.0% retracement+6.2%
61.8% retracement+7.9%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

CFO.US — 10-Year Return & Risk Profile

VictoryShares US 500 Enhanced Volatility Wtd ETF (CFO.US) has delivered solid annualized growth of 9.3% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $24,302, representing a total return of 143%. Over this period, CFO.US generated positive annual returns in 7 out of 10 calendar years (70%).

The best single calendar year for CFO.US was 2021, with a return of +26.0%. The worst year was 2022, when the asset declined 14.5%. 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 0.48 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.

CFO.US — Drawdown, Volatility & Downside Risk

CFO.US's annualized volatility of 12.5% 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 23.0% — 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 23% drawdown, for example, requires a 30% gain just to break even.

When evaluating CFO.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.

CFO.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 50.7% of CFO.US's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, CFO.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 CFO.US allocation.

The second-largest macro driver is US Value Equities, contributing 30.5% of variance. 6.8% of CFO.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 CFO.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding CFO.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 VictoryShares US 500 Enhanced Volatility Wtd ETF a high-risk investment?

VictoryShares US 500 Enhanced Volatility Wtd ETF (CFO.US) has an annualized volatility of 10.8% and experienced a maximum drawdown of 23.0% over the last 10 years. Its primary macro risk driver is VTI.US.

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

Over the past 10 years, CFO.US has generated a Compound Annual Growth Rate (CAGR) of 9.3%. A $10,000 investment would have grown to approximately $24,302. It has had a positive return in 70% of calendar years.

What is CFO.US's Sharpe ratio?

CFO.US has a Sharpe ratio of 0.48 and a Sortino ratio of 0.65 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 CFO.US's dividend yield?

CFO.US does not pay a meaningful dividend. Its returns are driven primarily by price appreciation. Investors seeking regular income may wish to consider dividend-focused alternatives.

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

CFO.US is currently above its 200-day moving average by 6.2%. 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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