Goldman Sachs Hedge Industry VIP ETF

10-Year Study

GVIP.US · · US · ETF

Executive Summary: Goldman Sachs Hedge Industry VIP ETF has compounded at 16.0% annually over the last 10 years, with a maximum drawdown of 33.4% and an annualized volatility of 21.9%.

1Y CAGR
+29.2%
3Y CAGR
+28.4%
5Y CAGR
+11.2%
10Y CAGR
+16.0%

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 →
33.4%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.72
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.03
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
18.7%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · +44.1%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -31.9%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
80%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20262.6-1.6-6.812.6————————5.9%
20254.7-1.1-8.32.28.16.31.91.76.91.3-0.91.025.3%
20244.15.83.5-3.74.20.80.64.43.10.17.1-2.929.8%
202310.4-1.21.70.73.56.44.6-0.4-3.8-2.511.53.939.1%
2022-8.2-2.81.3-11.6-4.1-10.39.9-2.1-9.04.63.5-6.6-31.9%
2021-1.66.4-1.34.9-0.23.0-0.31.8-4.53.7-1.20.911.9%
20202.4-6.4-16.014.110.62.47.412.6-2.4-2.914.06.344.1%
201910.72.91.46.3-8.86.40.4-2.3-2.23.35.94.130.2%
20186.9-2.5-2.9-1.64.50.52.32.40.7-8.11.6-9.5-6.9%
20173.93.30.72.21.91.14.20.91.42.9-0.20.925.8%
2016———————————0.70.7%

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 21.9%. The dominant macroeconomic risk driver is VTI.US, accounting for 93.5% of variance. Idiosyncratic stock-specific factors contribute 3.7%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2016-11-0110000
2016-12-0110065.24639065138
2017-01-0110455.39568699453
2017-02-0110797.970002904214
2017-03-0110875.71928546465
2017-04-0111116.326118738094
2017-05-0111323.608314915358
2017-06-0111451.516837063691
2017-07-0111933.444251377041
2017-08-0112043.164511476572
2017-09-0112209.566189029942
2017-10-0112568.187523689043
2017-11-0112544.28927950855
2017-12-0112661.417749184111
2018-01-0113529.138137266002
2018-02-0113185.01326586366
2018-03-0112808.91741692222
2018-04-0112603.284224205403
2018-05-0113165.20061234636
2018-06-0113228.18269973862
2018-07-0113531.427052517069
2018-08-0113860.046368992827
2018-09-0113958.34666482897
2018-10-0112831.781957440942
2018-11-0113038.00583796449
2018-12-0111793.697361102224
2019-01-0113059.492106934184
2019-02-0113441.371773983155
2019-03-0113632.286995515695
2019-04-0114490.039526859067
2019-05-0113208.71461410858
2019-06-0114059.42811575512
2019-07-0114110.153431157796
2019-08-0113779.146751463182
2019-09-0113477.79752206465
2019-10-0113928.76305050873
2019-11-0114753.437064675392
2019-12-0115356.012463512723
2020-01-0115721.648215876703
2020-02-0114714.377833455574
2020-03-0112360.019295801685
2020-04-0114099.29954270919
2020-05-0115587.340575822162
2020-06-0115954.182315791546
2020-07-0117131.423114598354
2020-08-0119293.168203275363
2020-09-0118828.41995934099
2020-10-0118275.093156389517
2020-11-0120825.31392595728
2020-12-0122131.152382686938
2021-01-0121781.16985720122
2021-02-0123183.905726226043
2021-03-0122887.823463104163
2021-04-0124004.198805826152
2021-05-0123955.66395770675
2021-06-0124673.054298976633
2021-07-0124597.273975771957
2021-08-0125047.574980433466
2021-09-0123929.40296229935
2021-10-0124811.545977662157
2021-11-0124525.08700339153
2021-12-0124755.898263870087
2022-01-0122732.915585790022
2022-02-0122098.812225268637
2022-03-0122380.225741190137
2022-04-0119780.21491191368
2022-05-0118969.151329293687
2022-06-0117010.529010154907
2022-07-0118702.308112604787
2022-08-0118316.096734973147
2022-09-0116670.908133278856
2022-10-0117430.040412890776
2022-11-0118037.242866214132
2022-12-0116847.597623466056
2023-01-0118592.464792545517
2023-02-0118366.895886351664
2023-03-0118684.316746491557
2023-04-0118807.64743813776
2023-05-0119464.443055234235
2023-06-0120718.744000826962
2023-07-0121668.47154607611
2023-08-0121578.686999453614
2023-09-0120756.424960497752
2023-10-0120239.27778570831
2023-11-0122572.00238244082
2023-12-0123443.31612134696
2024-01-0124401.534803817816
2024-02-0125825.436985917015
2024-03-0126727.34343081323
2024-04-0125749.828946655965
2024-05-0126820.03219248547
2024-06-0127045.10885884038
2024-07-0127196.69411724169
2024-08-0128381.90920143931
2024-09-0129257.38236698449
2024-10-0129283.643362391893
2024-11-0131351.07529792816
2024-12-0130433.835582048996
2025-01-0131879.322481085685
2025-02-0131519.64283077287
2025-03-0128916.38321855941
2025-04-0129544.604313005468
2025-05-0131924.411650332506
2025-06-0133943.18567778965
2025-07-0134586.936939154235
2025-08-0135175.04048672675
2025-09-0137594.76847499175
2025-10-0138082.799663307946
2025-11-0137739.733107559325
2025-12-0138123.97552583521
2026-01-0139107.96296387452
2026-02-0138493.15540503955
2026-03-0135866.56362446038
2026-04-0140368.34307147814
Annual Return Matrix
YearAnnual Return
20170.25793420824194224
2018-0.06853264028333661
20190.30205244321086844
20200.4412043774562284
20210.1185996027588907
2022-0.31945116901477066
20230.39149311642474816
20240.29818816691793115
20250.2526838893853438
20260.058870238863783175
Total Factor Risk
0.21885320425035096
VTI.US Exposure
0.935015829263153
VEA.US Exposure
0.04599550191162029
VWO.US Exposure
-0.005191529752447055
QQQ.US Exposure
-0.10135037488073717
VTV.US Exposure
-0.10375502837867187
IJR.US Exposure
-0.020844459031180932
QUAL.US Exposure
-0.072296540337581
SHV.US Exposure
0.2814098308318697
TLT.US Exposure
0.011985870965003425
LQD.US Exposure
-0.004168502535451416
HYG.US Exposure
0.007869749294289822
GLD.US Exposure
0.01239019511906159
USO.US Exposure
-0.0017614303090562821
VNQ.US Exposure
-0.01915044233975081
BTC-USD.CC Exposure
0.0026518693176815007
CPER.US Exposure
0.009098334465698648
VIX.INDX Exposure
-0.005825111200910714
UUP.US Exposure
-0.003580533071005246
TIP.US Exposure
-0.005941879021071471
Idiosyncratic Exposure
0.03744864968948608
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
21.9%

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 →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 →0.00%
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 →
+7.0%
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 →
+9.0%
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 →
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 →
1.09
Market sensitivity coefficient

Frequently Asked Questions & Methodology

Is Goldman Sachs Hedge Industry VIP ETF a high-risk investment?

Goldman Sachs Hedge Industry VIP ETF (GVIP.US) has an annualized volatility of 21.9% and experienced a maximum drawdown of 33.4% over the last 10 years. Its primary macro risk driver is VTI.US.

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

Over the past 10 years, GVIP.US has generated a Compound Annual Growth Rate (CAGR) of 16.0%. It has had a positive return in 80% 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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