THE SHORT ANSWER
A longer horizon changed the historical loss frequency, but it never removed investment risk
GoldObserve counts every completed 1-, 3-, 5-, 10- and 20-year monthly-average window that ended below its starting value. This produces a transparent historical loss frequency, not a forecast probability. Adjacent windows overlap, costs are excluded and the sample spans several monetary regimes. Use the result to understand endpoint sensitivity, not to promise that a future holding period will be profitable.
263 losing endpoints among 787 completed windows.
215 losing endpoints among 763 completed windows.
184 losing endpoints among 739 completed windows.
132 losing endpoints among 679 completed windows.
FIVE-HORIZON RISK PROFILE
How did the middle range and losing endpoints change with time held?
Compare all five horizons on one zero-centered scale. The chart separates the middle 50%, central 90%, median, observed extremes and historical loss frequency instead of reducing each horizon to one percentage.
184 ended below their starting monthly average.
Descriptive overlapping-window frequency, not forecast probability.
Middle observed endpoint result for this exact horizon.
How to read it: the thin line contains the empirical P5–P95 range, the thick line contains Q1–Q3 and the dot is the median. The loss label counts total endpoint returns below zero, so it is not read from the annualized median alone. Extremes remain in the table to avoid compressing the central comparison.
| Horizon | Windows | Losing endpoints | Loss frequency | Minimum | P5 | Q1 | Median | Q3 | P95 | Maximum |
|---|---|---|---|---|---|---|---|---|---|---|
| 1Y | 787 | 263 | 33.4% | -36.4% | -18.6% | -4.1% | +2.9% | +19.4% | +54.9% | +197.4% |
| 3Y | 763 | 215 | 28.2% | -15.8% | -9.6% | -1.3% | +3.2% | +14.7% | +41.9% | +72.3% |
| 5Y | 739 | 184 | 24.9% | -14.8% | -6.6% | +0.0% | +4.6% | +16.7% | +29.7% | +39.4% |
| 10Y | 679 | 132 | 19.4% | -5.6% | -3.4% | +0.7% | +6.4% | +13.8% | +21.4% | +34.4% |
| 20Y | 559 | 52 | 9.3% | -4.4% | -1.5% | +3.9% | +7.5% | +11.4% | +13.6% | +15.9% |
HOLDING-PERIOD PATH LABORATORY
A profitable endpoint can still contain a difficult path
Compare the worst, median-nearest and best endpoint windows with any completed starting month. Every path begins at 100, while the table keeps the endpoint return and the largest interim drawdown separate. Use pointer, touch or arrow keys to inspect the same elapsed month across all four paths.
2021-07 → 2026-07 · +125.3% total.
Lowest distance below this path's own prior monthly-average peak, at 2026-07.
2026-07 · index 225.3.
How to read it: every line begins at 100, so the chart compares paths rather than dollar price levels. The vertical index axis is logarithmic: equal vertical distances represent equal proportional changes, which keeps very large long-run gains from flattening the other paths. Endpoint ranking does not rank the loss experienced along the way. The gold line is your selected window; arrow keys, pointer and touch move the shared inspection month.
| Path | Start | End | Total return | Annualized | Maximum drawdown | Drawdown month | Index at inspected month |
|---|---|---|---|---|---|---|---|
| Worst endpoint | 1980-01 | 1985-01 | -55.1% | -14.8% | -55.1% | 1985-01 | 44.9 |
| Median endpoint | 1985-03 | 1990-03 | +25.2% | +4.6% | -25.5% | 1989-09 | 125.2 |
| Best endpoint | 1969-12 | 1974-12 | +425.7% | +39.4% | -20.8% | 1973-11 | 525.7 |
| Selected window | 2021-07 | 2026-07 | +125.3% | +17.6% | -18.9% | 2026-07 | 225.3 |
INTERACTIVE OUTCOME PATH
See where positive and negative annualized windows occurred
The zero line separates windows ending above and below their starting monthly average. Change the holding period and inspect the exact endpoint with crosshairs. A point above zero can still contain a substantial interim drawdown.
Crosshairs snap to a calculated observation. Monthly averages smooth intramonth highs, lows and drawdowns; this chart is not a daily close series. Historical windows overlap and are not independent forecasts.
Source: World Bank Commodity Price Data (The Pink Sheet), monthly nominal USD per troy ounce, CC BY 4.0. GoldObserve serves the bundled local series; page loads do not download the upstream workbook.
HOLDING-PERIOD RETURN DISTRIBUTION
Compare the shape, middle range and tails across five exact horizons
Select 1, 3, 5, 10 or 20 years, then inspect annualized-return buckets and the empirical box. The loss-frequency label still uses total start-to-end return, while the histogram annualizes each completed window so horizons remain comparable.
EMPIRICAL BOX AND TAIL MARKERS
Each observation annualizes one exact completed holding window. Adjacent windows overlap, so the histogram describes historical endpoints rather than independent trials or a future probability.
Source: World Bank Commodity Price Data (The Pink Sheet), local monthly nominal USD per troy ounce. Source workbook updated 2026-08-04; retrieved 2026-08-07. These charts describe history and are not price forecasts.
LOSS-FREQUENCY TABLE
Count completed windows before interpreting the percentage
| Holding period | Completed windows | Losing windows | Historical loss frequency | Worst annualized result | Worst start / end |
|---|---|---|---|---|---|
| 1 year | 787 | 263 | 33.4% | -36.4% | 1980-07 to 1981-07 |
| 3 years | 763 | 215 | 28.2% | -15.8% | 1980-10 to 1983-10 |
| 5 years | 739 | 184 | 24.9% | -14.8% | 1980-01 to 1985-01 |
| 10 years | 679 | 132 | 19.4% | -5.6% | 1980-07 to 1990-07 |
| 20 years | 559 | 52 | 9.3% | -4.4% | 1980-09 to 2000-09 |
TWO DIFFERENT RISKS
Ending below the start and suffering a drawdown are not the same event
Use the drawdown explorer for the second question and the gold investment return calculator for the third.
WHAT CHANGES THE ANSWER
Currency, entry method and product costs can reverse a benchmark result
Local-currency appreciation can reduce a positive USD result; depreciation can increase it.
The shorter the horizon, the more a fixed round-trip spread can dominate the benchmark move.
A monthly contribution plan cannot be represented by one start and one end price.
A complete decision compares alternatives, liquidity needs and risk tolerance on matched dates.
Source and study limitsWorld Bank monthly history · CC BY 4.0
SOURCE, LICENSE & LIMITS
The study uses one consistent monthly history
The source is the World Bank Commodity Price Data (The Pink Sheet), licensed CC BY 4.0. It contains 799 monthly gold observations from 1960-01 through 2026-07. The source workbook was published 2026-08-04, retrieved 2026-08-07, and preserved with SHA-256 7902a77505ebdc5d202ce65f666c2ee1b04b626f042d7738ed3e6f7d112c8433.
The values are nominal US-dollar monthly averages per troy ounce. They are not daily closes, dealer quotes, London auction prices or exact transaction prices.
CONTINUE THE RESEARCH
Separate holding-period evidence from a personal investment result
FREQUENTLY ASKED QUESTIONS
Questions about gold holding-period evidence
What does gold holding-period risk mean here?
It means the share and range of completed historical monthly-average windows that ended below their starting value. It is not a forecast probability, value-at-risk model or guarantee.
Why call it historical loss frequency rather than loss probability?
The rolling windows overlap and the market regimes are not identically distributed. Frequency accurately describes this sample; probability would imply a stronger statistical model than the page provides.
Can a positive endpoint hide a severe drawdown?
Yes. A window can finish above its start after spending years below a prior peak. Endpoint loss frequency and maximum drawdown answer different questions.
Does a longer holding period remove gold risk?
No. A longer horizon changes the historical distribution but does not eliminate currency, price, opportunity-cost, liquidity, product-cost or regime risk.
Why can my loss differ from the study?
Your acquisition premium, sale discount, currency, fees, tax and exact dates can turn a positive benchmark window into a negative personal result, or vice versa.