Innovator S&P 500 Buffer ETF - December

10-Year Study

BDEC.US · · US · ETF

Executive Summary: Innovator S&P 500 Buffer ETF - December has compounded at 11.1% annually over the last 10 years, with a maximum drawdown of 16.0% and an annualized volatility of 9.5%.

1Y CAGR
+17.7%
3Y CAGR
+13.1%
5Y CAGR
+10.0%
10Y CAGR
+11.1%

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

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
16.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.61
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.92
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
12.1%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · +19.9%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -9.4%
% 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

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20260.8-0.3-3.67.63.2-0.1——————7.5%
20251.9-0.9-3.9-0.64.63.81.61.62.91.90.90.615.0%
20241.53.01.6-1.63.21.70.61.40.80.51.1-1.512.7%
20235.1-1.82.81.20.35.52.7-1.4-4.6-2.08.43.019.9%
2022-3.5-2.12.8-6.70.7-5.46.4-2.0-6.87.15.2-4.3-9.4%
2021-1.02.03.42.01.11.10.50.8-0.61.60.43.115.5%
20200.1-6.4-8.39.03.71.03.74.1-1.4-1.88.22.313.4%

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 9.5%. The dominant macroeconomic risk driver is VTI.US, accounting for 93.3% of variance. Idiosyncratic stock-specific factors contribute 4.5%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2019-12-0110000
2020-01-0110010.032699167657
2020-02-019372.02734839477
2020-03-018592.44946492271
2020-04-019363.85255648038
2020-05-019710.538049940547
2020-06-019809.378715814508
2020-07-0110170.927467300831
2020-08-0110584.497621878716
2020-09-0110432.892390011892
2020-10-0110242.271105826398
2020-11-0111082.416765755055
2020-12-0111338.436385255647
2021-01-0111225.475624256838
2021-02-0111445.451843043995
2021-03-0111834.86920332937
2021-04-0112072.681331747921
2021-05-0112206.450653983355
2021-06-0112343.19262782402
2021-07-0112406.733055885852
2021-08-0112511.147443519621
2021-09-0112440.546967895363
2021-10-0112639.343043995244
2021-11-0112693.22235434007
2021-12-0113090.814506539831
2022-01-0112638.599881093935
2022-02-0112375.520214030916
2022-03-0112726.66468489893
2022-04-0111875.743162901308
2022-05-0111961.206896551725
2022-06-0111309.824613555293
2022-07-0112031.807372175983
2022-08-0111796.596313912009
2022-09-0110991.007728894174
2022-10-0111767.984542211654
2022-11-0112385.552913198575
2022-12-0111857.907253269917
2023-01-0112459.126040428064
2023-02-0112228.745541022592
2023-03-0112572.086801426874
2023-04-0112717.746730083234
2023-05-0112756.39120095125
2023-06-0113461.281212841854
2023-07-0113819.85731272295
2023-08-0113621.061236623067
2023-09-0112993.088585017837
2023-10-0112727.779429250892
2023-11-0113794.589774078479
2023-12-0114212.990487514862
2024-01-0114419.961355529134
2024-02-0114852.482164090368
2024-03-0115087.69322235434
2024-04-0114842.077883472055
2024-05-0115313.243162901308
2024-06-0115572.978596908442
2024-07-0115665.873959571936
2024-08-0115877.675386444707
2024-09-0116007.394470868012
2024-10-0116085.01783590963
2024-11-0116264.120095124852
2024-12-0116018.876337693222
2025-01-0116329.89001189061
2025-02-0116182.372175980974
2025-03-0115552.91319857313
2025-04-0115454.07253269917
2025-05-0116163.421521997623
2025-06-0116780.618311533886
2025-07-0117043.326397146255
2025-08-0117316.06718192628
2025-09-0117809.89892984542
2025-10-0118152.86860879905
2025-11-0118311.5338882283
2025-12-0118415.57669441142
2026-01-0118567.92508917955
2026-02-0118508.472057074912
2026-03-0117836.281212841855
2026-04-0119192.18192627824
2026-05-0119815.69560047563
2026-06-0119795.55588585018
Annual Return Matrix
YearAnnual Return
20200.1338436385255648
20210.15455200891394116
2022-0.09418109565711041
20230.1986086738530961
20240.12705882352941167
20250.1496172581767572
20260.07493543179983853
Total Factor Risk
0.09518482816754534
VTI.US Exposure
0.9331831352251818
VEA.US Exposure
-0.07818822560827306
VWO.US Exposure
0.009205080626216543
QQQ.US Exposure
0.023944114654084556
VTV.US Exposure
0.10004697847426182
IJR.US Exposure
-0.12412979321626753
QUAL.US Exposure
-0.06698694608024697
SHV.US Exposure
0.03610055276967267
TLT.US Exposure
0.007419268821099671
LQD.US Exposure
0.022608451779050062
HYG.US Exposure
0.049227639636816714
GLD.US Exposure
0.0015235781283548478
USO.US Exposure
-0.00024306991860916568
VNQ.US Exposure
0.024623739768387783
BTC-USD.CC Exposure
-0.021735072339456173
CPER.US Exposure
0.02738784971764879
VIX.INDX Exposure
0.01627978716002199
UUP.US Exposure
0.017297500735607638
TIP.US Exposure
-0.022202498668250775
Idiosyncratic Exposure
0.04463792833469884
Value Score
50
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
9.5%

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 →N/A
Forward P/EForward P/E RatioA valuation metric that compares the current stock price to estimated future earnings per share.Click for full definition →No estimate availableN/A
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%
Squeeze RiskShort Squeeze RiskA situation where a sharp rise in the price of a stock forces short sellers to buy shares to cover their positions, further driving up the price.Click for full definition →Low
Market Cap$0
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: 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 →
+2.5%
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 →
0.2% 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 →
0.71
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 →
53
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+7.1%
50.0% retracement+9.6%
61.8% retracement+12.2%
% distance of current price from each 52-week Fibonacci support level.

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Frequently Asked Questions & Methodology

Is Innovator S&P 500 Buffer ETF - December a high-risk investment?

Innovator S&P 500 Buffer ETF - December (BDEC.US) has an annualized volatility of 9.5% and experienced a maximum drawdown of 16.0% over the last 10 years. Its primary macro risk driver is VTI.US.

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

Over the past 10 years, BDEC.US has generated a Compound Annual Growth Rate (CAGR) of 11.1%. It has had a positive return in 86% 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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