GraniteShares Bloomberg Commodity Broad Strategy No K-1 ETF

10-Year Study

COMB.US · · US · ETF

Executive Summary: GraniteShares Bloomberg Commodity Broad Strategy No K-1 ETF has compounded at 7.8% annually over the last 10 years, with a maximum drawdown of 30.8% and an annualized volatility of 13.5%.

1Y CAGR
+42.2%
3Y CAGR
+16.2%
5Y CAGR
+11.1%
10Y CAGR
+7.8%

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 →
30.8%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.31
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.43
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
14.1%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2021 · +26.3%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · -11.4%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
67%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
202611.20.311.6-0.8————————23.4%
20253.90.93.8-5.1-0.32.3-0.62.02.42.63.2-0.515.1%
20240.4-1.73.62.22.0-1.8-3.5-0.34.7-1.30.20.95.2%
2023-0.5-5.0-0.1-0.8-5.84.06.5-0.8-1.00.6-2.7-2.6-8.5%
20228.56.78.03.82.0-10.93.7-0.1-7.91.53.4-3.114.6%
20212.26.5-2.48.52.52.21.4-0.55.12.7-7.33.626.3%
2020-7.4-4.5-13.4-1.54.12.45.77.0-3.81.63.75.2-2.9%
20195.00.8-0.1-0.3-3.82.7-1.0-1.91.22.0-2.55.07.0%
20182.1-1.7-0.82.51.4-3.6-2.1-1.91.9-2.5-0.6-6.5-11.4%
2017—————0.12.10.4-0.12.2-0.72.97.0%

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 13.5%. The dominant macroeconomic risk driver is USO.US, accounting for 41.2% of variance. Idiosyncratic stock-specific factors contribute 21.3%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2017-05-0110000
2017-06-0110007.486318752479
2017-07-0110215.531116883896
2017-08-0110252.438668333622
2017-09-0110241.35891657995
2017-10-0110464.376352216324
2017-11-0110395.277630130937
2017-12-0110698.32381323132
2018-01-0110919.09535324195
2018-02-0110735.15650149352
2018-03-0110645.170950088714
2018-04-0110910.935265801749
2018-05-0111061.335409539068
2018-06-0110664.261062907537
2018-07-0110440.794448146013
2018-08-0110246.599339706685
2018-09-0110444.911923459877
2018-10-0110187.307695187046
2018-11-0110131.235167730973
2018-12-019477.679540639481
2019-01-019954.333455609873
2019-02-0110036.907551449725
2019-03-0110022.384093069915
2019-04-019995.657935123563
2019-05-019615.951847997785
2019-06-019876.101424646458
2019-07-019781.025176489966
2019-08-019593.26830217777
2019-09-019706.760894465366
2019-10-019905.522657343705
2019-11-019658.773591261968
2019-12-0110143.363004109991
2020-01-019387.91857879725
2020-02-018966.513696220158
2020-03-017768.777559010908
2020-04-017655.359829910838
2020-05-017967.539321889248
2020-06-018160.611482515703
2020-07-018624.388929231829
2020-08-019230.406432245072
2020-09-018877.576229440696
2020-10-019020.939233550685
2020-11-019356.10172409921
2020-12-019844.43429632347
2021-01-0110058.168696706769
2021-02-0110711.948913360833
2021-03-0110455.692222463449
2021-04-0111348.959776009342
2021-05-0111633.963930916252
2021-06-0111893.814054814826
2021-07-0112065.62507018424
2021-08-0112006.932331164797
2021-09-0112614.67168749111
2021-10-0112958.293718229936
2021-11-0112006.932331164797
2021-12-0112437.545385807438
2022-01-0113494.613593657592
2022-02-0114401.356520957948
2022-03-0115560.23866384183
2022-04-0116156.673678851901
2022-05-0116476.264626395267
2022-06-0114682.617516488619
2022-07-0115225.675078793505
2022-08-0115206.285513224584
2022-09-0114003.758132013747
2022-10-0114217.118216459421
2022-11-0114702.00708205754
2022-12-0114248.33616565726
2023-01-0114178.638538071673
2023-02-0113475.448617651242
2023-03-0113462.796738959552
2023-04-0113348.70524117176
2023-05-0112575.81769316574
2023-06-0113082.641472708625
2023-07-0113927.771996676074
2023-08-0113817.573384639572
2023-09-0113678.178129468397
2023-10-0113754.239127993591
2023-11-0113386.735740434357
2023-12-0113044.311520695928
2024-01-0113098.063289338732
2024-02-0112878.190107578403
2024-03-0113339.721658668785
2024-04-0113637.227965892333
2024-05-0113912.425043233492
2024-06-0113668.670504652748
2024-07-0113184.230818179776
2024-08-0113142.45715954094
2024-09-0113757.00906593201
2024-10-0113574.717204309125
2024-11-0113601.59308863053
2024-12-0113728.486191485063
2025-01-0114265.255246037867
2025-02-0114392.59752801755
2025-03-0114932.735426008969
2025-04-0114164.414532441962
2025-05-0114117.325587488867
2025-06-0114444.178264222133
2025-07-0114361.005262882083
2025-08-0114643.763522163246
2025-09-0115001.609558531783
2025-10-0115393.817797974203
2025-11-0115889.262373013318
2025-12-0115803.61888648495
2026-01-0117570.390112070192
2026-02-0117622.79434333755
2026-03-0119662.81620338831
2026-04-0119501.86035020999
Annual Return Matrix
YearAnnual Return
2018-0.11409677757951087
20190.07023696682464453
2020-0.029470374634664842
20210.26340884721556823
20220.14559068720393387
2023-0.08450282411664256
20240.052450040747925364
20250.1511552450908218
20260.23401231643770726
Total Factor Risk
0.13461040266848032
VTI.US Exposure
0.007404408210735866
VEA.US Exposure
-0.005713107603577903
VWO.US Exposure
0.010456803051494986
QQQ.US Exposure
-0.001686418737348245
VTV.US Exposure
0.05674012709440223
IJR.US Exposure
-0.0131378092204994
QUAL.US Exposure
0.000963723695297393
SHV.US Exposure
0.03361956959630295
TLT.US Exposure
-0.004173473558340606
LQD.US Exposure
0.023810841270014604
HYG.US Exposure
0.007843978641626425
GLD.US Exposure
0.015298033706622714
USO.US Exposure
0.4120363805555792
VNQ.US Exposure
-0.0023127316658402997
BTC-USD.CC Exposure
-0.00009339037856686644
CPER.US Exposure
0.12521789965684962
VIX.INDX Exposure
0.000045936994002803206
UUP.US Exposure
0.004431087780584517
TIP.US Exposure
0.11580541111853193
Idiosyncratic Exposure
0.21344272979212825
Value Score
50
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
97.4
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
13.5%

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
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →8.12%
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 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 →
+5.3%
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 →
+21.0%
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 →
2.6% 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 →
1.00
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is GraniteShares Bloomberg Commodity Broad Strategy No K-1 ETF a high-risk investment?

GraniteShares Bloomberg Commodity Broad Strategy No K-1 ETF (COMB.US) has an annualized volatility of 13.5% and experienced a maximum drawdown of 30.8% over the last 10 years. Its primary macro risk driver is USO.US.

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

Over the past 10 years, COMB.US has generated a Compound Annual Growth Rate (CAGR) of 7.8%. It has had a positive return in 67% 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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